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玩家档案数据全面分析与重组方案

文档日期: 2026-01-28
适用范围: YRTV Player Profile System
版本: v1.0

1. 完整数据清单

1.1 数据仪表板区域 (Dashboard - Top Section)

显示标签	指标键	计算方法	L3列名	L2来源表	UI位置
Rating (评分)	`basic_avg_rating`	`AVG(rating)`	`basic_avg_rating`	`fact_match_players.rating`	Dashboard Card 1
K/D Ratio (击杀比)	`basic_avg_kd`	`AVG(kd_ratio)`	`basic_avg_kd`	`fact_match_players.kd_ratio`	Dashboard Card 2
ADR (场均伤害)	`basic_avg_adr`	`AVG(adr)`	`basic_avg_adr`	`fact_match_players.adr`	Dashboard Card 3
KAST (贡献率)	`basic_avg_kast`	`AVG(kast)`	`basic_avg_kast`	`fact_match_players.kast`	Dashboard Card 4

1.2 图表区域 (Charts Section)

1.2.1 六维雷达图 (Radar Chart)

维度名称	指标键	计算方法	L3列名	UI位置
Aim (BAT)	`score_bat`	加权标准化: 25% Rating + 20% KD + 15% ADR + 10% DuelWin + 10% HighEloKD + 20% 3K	`score_bat`	Radar Axis 1
Clutch (HPS)	`score_hps`	加权标准化: 25% 1v3+ + 20% MatchPtWin + 20% ComebackKD + 15% PressureEntry + 20% Rating	`score_hps`	Radar Axis 2
Pistol (PTL)	`score_ptl`	加权标准化: 30% PistolKills + 30% PistolWin + 20% PistolKD + 20% PistolUtil	`score_ptl`	Radar Axis 3
Defense (SIDE)	`score_tct`	加权标准化: 35% CT_Rating + 35% T_Rating + 15% CT_FK + 15% T_FK	`score_tct`	Radar Axis 4
Util (UTIL)	`score_util`	加权标准化: 35% UsageRate + 25% NadeDmg + 20% FlashTime + 20% FlashEnemy	`score_util`	Radar Axis 5
Stability (STA)	`score_sta`	加权标准化: 30% (100-Volatility) + 30% LossRating + 20% WinRating + 10% TimeCorr	`score_sta`	Radar Axis 6
Economy (ECO)	`score_eco`	加权标准化: 50% Dmg/$1k + 50% EcoKPR	`score_eco`	Radar Axis 7
Pace (PACE)	`score_pace`	加权标准化: 50% (100-FirstContactTime) + 50% TradeKillRate	`score_pace`	Radar Axis 8

1.2.2 趋势图 (Trend Chart)

数据项	来源	计算方法	UI位置
Rating走势	L2: `fact_match_players`	按时间排序的`rating`值(最近20场)	Line Chart - Main Data
Carry线(1.5)	静态基准线	固定值 1.5	Line Chart - Reference
Normal线(1.0)	静态基准线	固定值 1.0	Line Chart - Reference
Poor线(0.6)	静态基准线	固定值 0.6	Line Chart - Reference

1.3 详细数据面板 (Detailed Stats Panel)

1.3.1 核心性能指标 (Core Performance)

显示标签	指标键	计算方法	L3列名	L2来源	UI行位置
Rating (评分)	`basic_avg_rating`	`AVG(rating)`	`basic_avg_rating`	`fact_match_players.rating`	Row 1, Col 1
KD Ratio (击杀比)	`basic_avg_kd`	`AVG(kd_ratio)`	`basic_avg_kd`	`fact_match_players.kd_ratio`	Row 1, Col 2
KAST (贡献率)	`basic_avg_kast`	`AVG(kast)`	`basic_avg_kast`	`fact_match_players.kast`	Row 1, Col 3
RWS (每局得分)	`basic_avg_rws`	`AVG(rws)`	`basic_avg_rws`	`fact_match_players.rws`	Row 1, Col 4
ADR (场均伤害)	`basic_avg_adr`	`AVG(adr)`	`basic_avg_adr`	`fact_match_players.adr`	Row 1, Col 5

1.3.2 枪法与战斗能力 (Gunfight)

显示标签	指标键	计算方法	L3列名	L2来源	UI行位置
Avg HS (场均爆头)	`basic_avg_headshot_kills`	`SUM(headshot_count) / matches`	`basic_avg_headshot_kills`	`fact_match_players.headshot_count`	Row 2, Col 1
HS Rate (爆头率)	`basic_headshot_rate`	`SUM(headshot_count) / SUM(kills)`	`basic_headshot_rate`	`fact_match_players.headshot_count, kills`	Row 2, Col 2
Assists (场均助攻)	`basic_avg_assisted_kill`	`SUM(assisted_kill) / matches`	`basic_avg_assisted_kill`	`fact_match_players.assisted_kill`	Row 2, Col 3
AWP Kills (狙击击杀)	`basic_avg_awp_kill`	`SUM(awp_kill) / matches`	`basic_avg_awp_kill`	`fact_match_players.awp_kill`	Row 2, Col 4
Jumps (场均跳跃)	`basic_avg_jump_count`	`SUM(jump_count) / matches`	`basic_avg_jump_count`	`fact_match_players.jump_count`	Row 2, Col 5
Knife Kills (场均刀杀)	`basic_avg_knife_kill`	`COUNT(knife_kills) / matches`	`basic_avg_knife_kill`	`fact_round_events` (weapon=knife)	Row 2, Col 6
Zeus Kills (电击枪杀)	`basic_avg_zeus_kill`	`COUNT(zeus_kills) / matches`	`basic_avg_zeus_kill`	`fact_round_events` (weapon=zeus)	Row 2, Col 7
Zeus Buy% (起电击枪)	`basic_zeus_pick_rate`	`AVG(has_zeus)`	`basic_zeus_pick_rate`	`fact_round_player_economy.has_zeus`	Row 2, Col 8

1.3.3 目标控制 (Objective)

显示标签	指标键	计算方法	L3列名	L2来源	UI行位置
MVP (最有价值)	`basic_avg_mvps`	`SUM(mvp_count) / matches`	`basic_avg_mvps`	`fact_match_players.mvp_count`	Row 3, Col 1
Plants (下包)	`basic_avg_plants`	`SUM(planted_bomb) / matches`	`basic_avg_plants`	`fact_match_players.planted_bomb`	Row 3, Col 2
Defuses (拆包)	`basic_avg_defuses`	`SUM(defused_bomb) / matches`	`basic_avg_defuses`	`fact_match_players.defused_bomb`	Row 3, Col 3
Flash Assist (闪光助攻)	`basic_avg_flash_assists`	`SUM(flash_assists) / matches`	`basic_avg_flash_assists`	`fact_match_players.flash_assists`	Row 3, Col 4

1.3.4 开局能力 (Opening Impact)

显示标签	指标键	计算方法	L3列名	L2来源	UI行位置
First Kill (场均首杀)	`basic_avg_first_kill`	`SUM(first_kill) / matches`	`basic_avg_first_kill`	`fact_match_players.first_kill`	Row 4, Col 1
First Death (场均首死)	`basic_avg_first_death`	`SUM(first_death) / matches`	`basic_avg_first_death`	`fact_match_players.first_death`	Row 4, Col 2
FK Rate (首杀率)	`basic_first_kill_rate`	`FK / (FK + FD)`	`basic_first_kill_rate`	Calculated from FK/FD	Row 4, Col 3
FD Rate (首死率)	`basic_first_death_rate`	`FD / (FK + FD)`	`basic_first_death_rate`	Calculated from FK/FD	Row 4, Col 4

1.3.5 多杀表现 (Multi-Frag Performance)

显示标签	指标键	计算方法	L3列名	L2来源	UI行位置
2K Rounds (双杀)	`basic_avg_kill_2`	`SUM(kill_2) / matches`	`basic_avg_kill_2`	`fact_match_players.kill_2`	Row 5, Col 1
3K Rounds (三杀)	`basic_avg_kill_3`	`SUM(kill_3) / matches`	`basic_avg_kill_3`	`fact_match_players.kill_3`	Row 5, Col 2
4K Rounds (四杀)	`basic_avg_kill_4`	`SUM(kill_4) / matches`	`basic_avg_kill_4`	`fact_match_players.kill_4`	Row 5, Col 3
5K Rounds (五杀)	`basic_avg_kill_5`	`SUM(kill_5) / matches`	`basic_avg_kill_5`	`fact_match_players.kill_5`	Row 5, Col 4

1.3.6 特殊击杀 (Special Stats)

显示标签	指标键	计算方法	L3列名	L2来源	UI行位置
Perfect Kills (无伤杀)	`basic_avg_perfect_kill`	`SUM(perfect_kill) / matches`	`basic_avg_perfect_kill`	`fact_match_players.perfect_kill`	Row 6, Col 1
Revenge Kills (复仇杀)	`basic_avg_revenge_kill`	`SUM(revenge_kill) / matches`	`basic_avg_revenge_kill`	`fact_match_players.revenge_kill`	Row 6, Col 2
交火补枪率	`trade_kill_percentage`	`TradeKills / TotalKills * 100`	N/A (计算自L2)	`fact_round_events` (self-join)	Row 6, Col 3

1.4 特殊击杀与时机分析 (Special Kills & Timing)

1.4.1 战术智商击杀 (Special Kill Scenarios)

显示标签	指标键	计算方法	L3列名	L2来源	UI位置
Wallbang Kills (穿墙)	`special_wallbang_kills`	`COUNT(is_wallbang=1)`	`special_wallbang_kills`	`fact_round_events.is_wallbang`	Special Grid 1
Wallbang Rate (穿墙率)	`special_wallbang_rate`	`WallbangKills / TotalKills`	`special_wallbang_rate`	Calculated	Special Grid 2
Smoke Kills (穿烟)	`special_smoke_kills`	`COUNT(is_through_smoke=1)`	`special_smoke_kills`	`fact_round_events.is_through_smoke`	Special Grid 3
Smoke Kill Rate (穿烟率)	`special_smoke_kill_rate`	`SmokeKills / TotalKills`	`special_smoke_kill_rate`	Calculated	Special Grid 4
Blind Kills (致盲击杀)	`special_blind_kills`	`COUNT(is_blind=1)`	`special_blind_kills`	`fact_round_events.is_blind`	Special Grid 5
Blind Kill Rate (致盲率)	`special_blind_kill_rate`	`BlindKills / TotalKills`	`special_blind_kill_rate`	Calculated	Special Grid 6
NoScope Kills (盲狙)	`special_noscope_kills`	`COUNT(is_noscope=1)`	`special_noscope_kills`	`fact_round_events.is_noscope`	Special Grid 7
NoScope Rate (盲狙率)	`special_noscope_rate`	`NoScopeKills / AWPKills`	`special_noscope_rate`	Calculated	Special Grid 8
High IQ Score (智商评分)	`special_high_iq_score`	加权评分(0-100): Wallbang3 + Smoke2 + Blind1.5 + NoScope2	`special_high_iq_score`	Calculated	Special Grid 9

1.4.2 回合节奏分析 (Round Timing Analysis)

显示标签	指标键	计算方法	L3列名	L2来源	UI位置
Early Kills (前30s)	`timing_early_kills`	`COUNT(event_time < 30)`	`timing_early_kills`	`fact_round_events.event_time`	Timing Grid 1
Mid Kills (30-60s)	`timing_mid_kills`	`COUNT(30 <= event_time < 60)`	`timing_mid_kills`	`fact_round_events.event_time`	Timing Grid 2
Late Kills (60s+)	`timing_late_kills`	`COUNT(event_time >= 60)`	`timing_late_kills`	`fact_round_events.event_time`	Timing Grid 3
Avg Kill Time (平均击杀时间)	`timing_avg_kill_time`	`AVG(event_time)` for kills	`timing_avg_kill_time`	`fact_round_events.event_time`	Timing Grid 4
Early Aggression (前期进攻)	`timing_early_aggression_rate`	`EarlyKills / TotalKills`	`timing_early_aggression_rate`	Calculated	Timing Grid 5
Early Deaths (前30s死)	`timing_early_deaths`	`COUNT(death_time < 30)`	`timing_early_deaths`	`fact_round_events.event_time`	Timing Grid 6
Mid Deaths (30-60s死)	`timing_mid_deaths`	`COUNT(30 <= death_time < 60)`	`timing_mid_deaths`	`fact_round_events.event_time`	Timing Grid 7
Late Deaths (60s+死)	`timing_late_deaths`	`COUNT(death_time >= 60)`	`timing_late_deaths`	`fact_round_events.event_time`	Timing Grid 8
Avg Death Time (平均死亡时间)	`timing_avg_death_time`	`AVG(event_time)` for deaths	`timing_avg_death_time`	`fact_round_events.event_time`	Timing Grid 9
Early Death Rate (前期死亡)	`timing_early_death_rate`	`EarlyDeaths / TotalDeaths`	`timing_early_death_rate`	Calculated	Timing Grid 10

1.5 深层能力维度 (Deep Capabilities)

1.5.1 稳定性与枪法 (STA & BAT)

显示标签	指标键	计算方法	L3列名	L2来源	UI位置
Last 30 Rating (近30场)	`sta_last_30_rating`	`AVG(rating)` for last 30 matches	`sta_last_30_rating`	`fact_match_players.rating`	Deep Section 1
Win Rating (胜局)	`sta_win_rating`	`AVG(rating WHERE is_win=1)`	`sta_win_rating`	`fact_match_players.rating, is_win`	Deep Section 2
Loss Rating (败局)	`sta_loss_rating`	`AVG(rating WHERE is_win=0)`	`sta_loss_rating`	`fact_match_players.rating, is_win`	Deep Section 3
Volatility (波动)	`sta_rating_volatility`	`STDDEV(rating)` for last 10 matches	`sta_rating_volatility`	`fact_match_players.rating`	Deep Section 4
Time Corr (耐力)	`sta_time_rating_corr`	`CORR(duration, rating)`	`sta_time_rating_corr`	`fact_matches.duration, rating`	Deep Section 5
High Elo KD Diff (高分抗压)	`bat_kd_diff_high_elo`	`AVG(kd WHERE elo > player_avg_elo)`	`bat_kd_diff_high_elo`	`fact_match_teams.group_origin_elo`	Deep Section 6
Duel Win% (对枪胜率)	`bat_avg_duel_win_rate`	`entry_kills / (entry_kills + entry_deaths)`	`bat_avg_duel_win_rate`	`fact_match_players.entry_kills/deaths`	Deep Section 7

1.5.2 残局与手枪 (HPS & PTL)

显示标签	指标键	计算方法	L3列名	L2来源	UI位置
Avg 1v1 (场均1v1)	`hps_clutch_win_rate_1v1`	`SUM(clutch_1v1) / matches`	`hps_clutch_win_rate_1v1`	`fact_match_players.clutch_1v1`	Deep Section 8
Avg 1v3+ (场均1v3+)	`hps_clutch_win_rate_1v3_plus`	`SUM(clutch_1v3+1v4+1v5) / matches`	`hps_clutch_win_rate_1v3_plus`	`fact_match_players.clutch_1v3/4/5`	Deep Section 9
Match Pt Win% (赛点胜率)	`hps_match_point_win_rate`	Win rate when either team at 12 or 15	`hps_match_point_win_rate`	`fact_rounds` (score calculation)	Deep Section 10
Pressure Entry (逆风首杀)	`hps_pressure_entry_rate`	`entry_kills / rounds` in losing matches	`hps_pressure_entry_rate`	`fact_match_players` (is_win=0)	Deep Section 11
Comeback KD (翻盘KD)	`hps_comeback_kd_diff`	KD差值当队伍落后4+回合	`hps_comeback_kd_diff`	`fact_round_events + fact_rounds`	Deep Section 12
Loss Streak KD (连败KD)	`hps_losing_streak_kd_diff`	KD差值当连败3+回合	`hps_losing_streak_kd_diff`	`fact_round_events + fact_rounds`	Deep Section 13
Pistol Kills (手枪击杀)	`ptl_pistol_kills`	`COUNT(kills WHERE round IN (1,13))` / matches	`ptl_pistol_kills`	`fact_round_events` (round 1,13)	Deep Section 14
Pistol Win% (手枪胜率)	`ptl_pistol_win_rate`	Win rate for pistol rounds	`ptl_pistol_win_rate`	`fact_rounds` (round 1,13)	Deep Section 15
Pistol KD (手枪KD)	`ptl_pistol_kd`	`pistol_kills / pistol_deaths`	`ptl_pistol_kd`	`fact_round_events` (round 1,13)	Deep Section 16
Pistol Util Eff (手枪道具)	`ptl_pistol_util_efficiency`	Headshot rate in pistol rounds	`ptl_pistol_util_efficiency`	`fact_round_events` (is_headshot)	Deep Section 17

1.5.3 道具使用 (UTIL)

显示标签	指标键	计算方法	L3列名	L2来源	UI位置
Usage Rate (道具频率)	`util_usage_rate`	`(flash+smoke+molotov+he+decoy) / rounds * 100`	`util_usage_rate`	`fact_match_players.util_*_usage`	Deep Section 18
Nade Dmg (雷火伤)	`util_avg_nade_dmg`	`SUM(throw_harm) / matches`	`util_avg_nade_dmg`	`fact_match_players.throw_harm`	Deep Section 19
Flash Time (致盲时间)	`util_avg_flash_time`	`SUM(flash_time) / matches`	`util_avg_flash_time`	`fact_match_players.flash_time`	Deep Section 20
Flash Enemy (致盲人数)	`util_avg_flash_enemy`	`SUM(flash_enemy) / matches`	`util_avg_flash_enemy`	`fact_match_players.flash_enemy`	Deep Section 21

1.5.4 经济与节奏 (ECO & PACE)

显示标签	指标键	计算方法	L3列名	L2来源	UI位置
Dmg/$1k (性价比)	`eco_avg_damage_per_1k`	`total_damage / (total_equipment / 1000)`	`eco_avg_damage_per_1k`	`fact_round_player_economy`	Deep Section 22
Eco KPR (经济局KPR)	`eco_rating_eco_rounds`	Kills per round when equipment < $2000	`eco_rating_eco_rounds`	`fact_round_player_economy`	Deep Section 23
Eco KD (经济局KD)	`eco_kd_ratio`	KD in eco rounds	`eco_kd_ratio`	`fact_round_player_economy`	Deep Section 24
Eco Rounds (经济局数)	`eco_avg_rounds`	`COUNT(equipment < 2000) / matches`	`eco_avg_rounds`	`fact_round_player_economy`	Deep Section 25
First Contact (首肯时间)	`pace_avg_time_to_first_contact`	`AVG(MIN(event_time))` per round	`pace_avg_time_to_first_contact`	`fact_round_events.event_time`	Deep Section 26
Trade Kill% (补枪率)	`pace_trade_kill_rate`	`TradeKills / TotalKills` (5s window)	`pace_trade_kill_rate`	`fact_round_events` (self-join)	Deep Section 27
Opening Time (首杀时间)	`pace_opening_kill_time`	`AVG(first_kill_time)` per round	`pace_opening_kill_time`	`fact_round_events.event_time`	Deep Section 28
Avg Life (存活时间)	`pace_avg_life_time`	`AVG(death_time OR round_end)`	`pace_avg_life_time`	`fact_round_events + fact_rounds`	Deep Section 29

1.5.5 回合动态 (ROUND Dynamics)

显示标签	指标键	计算方法	L3列名	L2来源	UI位置
Kill Early (前30秒击杀)	`rd_phase_kill_early_share`	Early kills / Total kills	`rd_phase_kill_early_share`	`fact_round_events.event_time`	Deep Section 30
Kill Mid (30-60秒击杀)	`rd_phase_kill_mid_share`	Mid kills / Total kills	`rd_phase_kill_mid_share`	`fact_round_events.event_time`	Deep Section 31
Kill Late (60秒后击杀)	`rd_phase_kill_late_share`	Late kills / Total kills	`rd_phase_kill_late_share`	`fact_round_events.event_time`	Deep Section 32
Death Early (前30秒死亡)	`rd_phase_death_early_share`	Early deaths / Total deaths	`rd_phase_death_early_share`	`fact_round_events.event_time`	Deep Section 33
Death Mid (30-60秒死亡)	`rd_phase_death_mid_share`	Mid deaths / Total deaths	`rd_phase_death_mid_share`	`fact_round_events.event_time`	Deep Section 34
Death Late (60秒后死亡)	`rd_phase_death_late_share`	Late deaths / Total deaths	`rd_phase_death_late_share`	`fact_round_events.event_time`	Deep Section 35
FirstDeath Win% (首死后胜率)	`rd_firstdeath_team_first_death_win_rate`	Win rate when team loses first blood	`rd_firstdeath_team_first_death_win_rate`	`fact_round_events + fact_rounds`	Deep Section 36
Invalid Death% (无效死亡)	`rd_invalid_death_rate`	Deaths with 0 kills & 0 flash assists	`rd_invalid_death_rate`	`fact_round_events`	Deep Section 37
Pressure KPR (落后≥3)	`rd_pressure_kpr_ratio`	KPR when down 3+ rounds / Normal KPR	`rd_pressure_kpr_ratio`	`fact_rounds + fact_round_events`	Deep Section 38
MatchPt KPR (赛点放大)	`rd_matchpoint_kpr_ratio`	KPR at match point / Normal KPR	`rd_matchpoint_kpr_ratio`	`fact_rounds + fact_round_events`	Deep Section 39
Trade Resp (10s响应)	`rd_trade_response_10s_rate`	Success rate trading teammate death in 10s	`rd_trade_response_10s_rate`	`fact_round_events` (self-join)	Deep Section 40
Pressure Perf (Leetify)	`rd_pressure_perf_ratio`	Leetify perf when down 3+ / Normal	`rd_pressure_perf_ratio`	`fact_round_player_economy`	Deep Section 41
MatchPt Perf (Leetify)	`rd_matchpoint_perf_ratio`	Leetify perf at match point / Normal	`rd_matchpoint_perf_ratio`	`fact_round_player_economy`	Deep Section 42
Comeback KillShare (追分)	`rd_comeback_kill_share`	Player's kills / Team kills in comeback rounds	`rd_comeback_kill_share`	`fact_round_events + fact_rounds`	Deep Section 43
Map Stability (地图稳定)	`map_stability_coef`	`AVG(	map_rating - player_avg	)`	`map_stability_coef`

1.5.6 残局与多杀 (SPECIAL - Clutch & Multi)

显示标签	指标键	计算方法	L3列名	L2来源	UI位置
1v1 Win% (1v1胜率)	`clutch_rate_1v1`	`clutch_1v1 / attempts_1v1`	N/A (L2)	`fact_match_players.clutch_1v1, end_1v1`	Deep Section 45
1v2 Win% (1v2胜率)	`clutch_rate_1v2`	`clutch_1v2 / attempts_1v2`	N/A (L2)	`fact_match_players.clutch_1v2, end_1v2`	Deep Section 46
1v3 Win% (1v3胜率)	`clutch_rate_1v3`	`clutch_1v3 / attempts_1v3`	N/A (L2)	`fact_match_players.clutch_1v3, end_1v3`	Deep Section 47
1v4 Win% (1v4胜率)	`clutch_rate_1v4`	`clutch_1v4 / attempts_1v4`	N/A (L2)	`fact_match_players.clutch_1v4, end_1v4`	Deep Section 48
1v5 Win% (1v5胜率)	`clutch_rate_1v5`	`clutch_1v5 / attempts_1v5`	N/A (L2)	`fact_match_players.clutch_1v5, end_1v5`	Deep Section 49
Multi-K Rate (多杀率)	`total_multikill_rate`	`(2K+3K+4K+5K) / total_rounds`	N/A (L2)	`fact_match_players.kill_2/3/4/5`	Deep Section 50
Multi-A Rate (多助率)	`total_multiassist_rate`	`(many_assists_cnt2/3/4/5) / rounds`	N/A (L2)	`fact_match_players.many_assists_cnt*`	Deep Section 51

1.5.7 阵营偏好 (SIDE Preference)

显示标签	指标键	计算方法	L3列名	L2来源	UI位置
Rating (T-Side)	`side_rating_t`	`AVG(rating2)` from T table	`side_rating_t`	`fact_match_players_t.rating2`	Deep Section 52
Rating (CT-Side)	`side_rating_ct`	`AVG(rating2)` from CT table	`side_rating_ct`	`fact_match_players_ct.rating2`	Deep Section 53
KD Ratio (T)	`side_kd_t`	`SUM(kills) / SUM(deaths)` T-side	`side_kd_t`	`fact_match_players_t.kills/deaths`	Deep Section 54
KD Ratio (CT)	`side_kd_ct`	`SUM(kills) / SUM(deaths)` CT-side	`side_kd_ct`	`fact_match_players_ct.kills/deaths`	Deep Section 55
Win Rate (T)	`side_win_rate_t`	`AVG(is_win)` T-side	`side_win_rate_t`	`fact_match_players_t.is_win`	Deep Section 56
Win Rate (CT)	`side_win_rate_ct`	`AVG(is_win)` CT-side	`side_win_rate_ct`	`fact_match_players_ct.is_win`	Deep Section 57
First Kill Rate (T)	`side_first_kill_rate_t`	`FK / rounds` T-side	`side_first_kill_rate_t`	`fact_match_players_t.first_kill`	Deep Section 58
First Kill Rate (CT)	`side_first_kill_rate_ct`	`FK / rounds` CT-side	`side_first_kill_rate_ct`	`fact_match_players_ct.first_kill`	Deep Section 59
First Death Rate (T)	`side_first_death_rate_t`	`FD / rounds` T-side	`side_first_death_rate_t`	`fact_match_players_t.first_death`	Deep Section 60
First Death Rate (CT)	`side_first_death_rate_ct`	`FD / rounds` CT-side	`side_first_death_rate_ct`	`fact_match_players_ct.first_death`	Deep Section 61
KAST (T)	`side_kast_t`	`AVG(kast)` T-side	`side_kast_t`	`fact_match_players_t.kast`	Deep Section 62
KAST (CT)	`side_kast_ct`	`AVG(kast)` CT-side	`side_kast_ct`	`fact_match_players_ct.kast`	Deep Section 63
RWS (T)	`side_rws_t`	`AVG(rws)` T-side	`side_rws_t`	`fact_match_players_t.rws`	Deep Section 64
RWS (CT)	`side_rws_ct`	`AVG(rws)` CT-side	`side_rws_ct`	`fact_match_players_ct.rws`	Deep Section 65
Headshot Rate (T)	`side_headshot_rate_t`	`HS / kills` T-side	`side_headshot_rate_t`	`fact_match_players_t.headshot_count/kills`	Deep Section 66
Headshot Rate (CT)	`side_headshot_rate_ct`	`HS / kills` CT-side	`side_headshot_rate_ct`	`fact_match_players_ct.headshot_count/kills`	Deep Section 67

1.5.8 组排与分层 (Party & Stratification)

显示标签	指标键	计算方法	L3列名	L2来源	UI位置
Solo Win% (单排胜率)	`party_1_win_rate`	Win rate in solo queue	`party_1_win_rate`	`fact_match_players` (party_size=1)	Deep Section 68
Solo Rating (单排分)	`party_1_rating`	`AVG(rating)` in solo	`party_1_rating`	`fact_match_players` (party_size=1)	Deep Section 69
Solo ADR (单排伤)	`party_1_adr`	`AVG(adr)` in solo	`party_1_adr`	`fact_match_players` (party_size=1)	Deep Section 70
Duo Win% (双排胜率)	`party_2_win_rate`	Win rate in duo	`party_2_win_rate`	`fact_match_players` (party_size=2)	Deep Section 71
... (party_2~5 follow same pattern)	...	...	...	...	Deep Section 72-79
Carry Rate (>1.5)	`rating_dist_carry_rate`	`COUNT(rating>1.5) / total`	`rating_dist_carry_rate`	`fact_match_players.rating`	Deep Section 80
Normal Rate (1.0-1.5)	`rating_dist_normal_rate`	`COUNT(1.0<=rating<1.5) / total`	`rating_dist_normal_rate`	`fact_match_players.rating`	Deep Section 81
Sacrifice Rate (0.6-1.0)	`rating_dist_sacrifice_rate`	`COUNT(0.6<=rating<1.0) / total`	`rating_dist_sacrifice_rate`	`fact_match_players.rating`	Deep Section 82
Sleeping Rate (<0.6)	`rating_dist_sleeping_rate`	`COUNT(rating<0.6) / total`	`rating_dist_sleeping_rate`	`fact_match_players.rating`	Deep Section 83
<1200 Rating	`elo_lt1200_rating`	`AVG(rating)` vs opponents <1200 ELO	`elo_lt1200_rating`	`fact_match_teams.group_origin_elo`	Deep Section 84
1200-1400 Rating	`elo_1200_1400_rating`	`AVG(rating)` vs 1200-1400 ELO	`elo_1200_1400_rating`	`fact_match_teams.group_origin_elo`	Deep Section 85
... (elo_* follow same pattern)	...	...	...	...	Deep Section 86-89

1.6 附加数据

1.6.1 Phase Split (回合阶段分布)

数据来源: rd_phase_kill_*_share 和 rd_phase_death_*_share 系列
UI呈现: 横条图展示 Total/T/CT 的击杀/死亡在 Early/Mid/Late 的分布
计算: 时间段划分(0-30s/30-60s/60s+),分T/CT/Overall统计

1.6.2 Top Weapons (常用武器)

数据来源: rd_weapon_top_json (JSON字段)
包含信息: weapon, kills, hs_rate, price, category, share
UI呈现: 表格展示前5常用武器及其数据

1.6.3 Round Type Split (回合类型表现)

数据来源: rd_roundtype_split_json (JSON字段)
包含信息: pistol/eco/rifle/fullbuy/overtime的KPR和Perf
UI呈现: 表格展示不同经济类型回合的表现

2. 当前问题分析

2.1 命名不一致问题

问题类别	具体表现	影响
前缀混乱	`basic_`, `side_`, `util_`, `eco_`, `pace_`, `rd_`, `special_`, `timing_`	无法从名称直观判断归属维度
冗余命名	`basic_avg_headshot_kills` vs `basic_headshot_rate`	一个是总数,一个是比率,命名规则不统一
缩写不统一	`FK` vs `First Kill`, `HS` vs `Headshot`, `Avg` vs `Average`	可读性差
中英混杂	数据库用英文,但UI标签用中文	维护困难

2.2 数据重复与冗余

重复类型	示例	问题
同一指标多处展示	`basic_avg_rating`同时出现在Dashboard和Detailed Panel	数据冗余展示
相似指标并存	`timing_early_aggression_rate` vs `rd_phase_kill_early_share`	实际都是"前30秒击杀占比"
计算结果重复	`basic_first_kill_rate` 和 `basic_first_death_rate` 必然互补(FK+FD=100%)	可简化为一个指标
阵营数据冗余	T/CT所有指标都有两套,但很多时候差异不大	UI拥挤,核心信息淹没

2.3 分类逻辑混乱

混乱表现	示例	理想归类
相关指标分散	首杀/首死在"Opening Impact",但首杀时间在"PACE - Tempo"	应统一归入"开局影响力"
维度交叉	`hps_pressure_entry_rate`(逆风首杀)既属于HPS,又涉及Opening	应明确主维度
深浅不分	`basic_avg_kd`在详细面板,但`eco_kd_ratio`在深层能力	同类指标应在同一层级
特殊指标孤立	Special Kills单独一个Section,但Knife/Zeus在Combat	应统一归入"特殊击杀类"

2.4 UI展示问题

问题	描述	影响
信息密度过高	Detailed Stats Panel有80+指标紧密排列	用户认知负担重,难以聚焦
缺少层次	所有指标平铺,无主次之分	核心数据不突出
视觉疲劳	长列表滚动,无分组视觉分隔	易忽略关键信息
无引导逻辑	用户不知道该看哪些数据	降低产品价值

2.5 Schema设计问题

问题	描述	改进方向
列名过长	`rd_phase_kill_early_share_ct` 35字符	可缩短为`phase_k_early_ct`
类型不统一	Rate有的存0-1,有的存0-100	统一为0-1,前端格式化
缺少索引提示	L3表无明确的"核心指标"标识	可增加`is_core`标记列
JSON滥用	`rd_weapon_top_json`等,查询不便	考虑拆表或使用结构化字段

3. 重组方案

3.1 新分类体系

基于游戏功能维度和用户关注度,建议采用三层结构:

L1: 核心面板 (Core Dashboard) - 4个关键指标

Rating (综合评分)
K/D Ratio (击杀效率)
ADR (伤害输出)
KAST (团队贡献)

L2: 六维雷达 (6D Capabilities) - 战术风格画像

Combat (战斗力): 枪法、对枪、爆头
Opening (开局影响): 首杀、首死、进攻节奏
Clutch (残局能力): 1vX、高压表现
Utility (道具运用): 闪光、投掷、战术配合
Economy (经济管理): 性价比、经济局表现
Stability (稳定性): 波动、适应、抗压

L3: 详细统计 (Detailed Stats) - 按功能分组

Group 1: 枪法与交火 (Gunfight)

爆头率、爆头数
对枪胜率
AWP击杀
补枪成功率

Group 2: 开局影响力 (Opening Impact)

首杀数/率
首死数/率
首接触时间
开局击杀时间

Group 3: 多杀表现 (Multi-Frag Performance)

2K/3K/4K/5K频率
多杀占比

Group 4: 残局能力 (Clutch Capability)

1v1/1v2/1v3/1v4/1v5胜率
残局尝试次数

Group 5: 特殊能力 (Special Stats)

穿墙/穿烟/致盲/盲狙击杀
刀杀/电击枪
无伤击杀/复仇击杀
高IQ评分

Group 6: 战术贡献 (Tactical Contribution)

MVP次数
下包/拆包
闪光助攻
道具使用频率
道具伤害

Group 7: 经济管理 (Economy)

伤害性价比
经济局KD/KPR
经济局频率
装备价值分布

Group 8: 节奏控制 (Pace & Timing)

前/中/后期击杀分布
前/中/后期死亡分布
平均存活时间
节奏风格标签(Early Aggressor/Late Closer)

Group 9: 阵营偏好 (Side Preference)

T/CT综合表现对比(Rating, KD, Win%)
T/CT关键指标对比(FK Rate, HS Rate)
阵营风格分析

Group 10: 高压情境 (High-Pressure Performance)

赛点表现
逆风表现(落后3+回合)
翻盘贡献
连败抗压

Group 11: 组排与分层 (Party & Stratification)

单排/双排/三排/四排/五排表现
Carry/Normal/Sacrifice/Sleeping分布
对阵不同ELO段表现

Group 12: 回合细节 (Round Dynamics)

首死后胜率
无效死亡率
补枪响应率
武器使用偏好
回合类型表现

3.2 指标优先级标记

为每个指标分配优先级,用于UI展示逻辑:

优先级	说明	展示位置	指标数量
P0 - Critical	核心KPI,必看指标	Dashboard + 六维雷达	12个
P1 - High	重要数据,影响战术决策	Detailed Panel前置位置	30个
P2 - Medium	辅助分析,深入了解	Detailed Panel中部,可折叠	50个
P3 - Low	小众指标,专业分析	Advanced Section,默认折叠	30个

3.3 命名规范

3.3.1 L3列名规范

{category}_{metric}_{aggregation}_{context}

category: 维度前缀(cbt, opn, clu, uti, eco, stb)
metric: 指标名称(小写蛇形)
aggregation: avg/sum/rate/pct (可选)
context: _t/_ct/_pistol等上下文(可选)

示例:

cbt_hs_rate (Combat - Headshot Rate)
opn_fk_avg (Opening - First Kills Average)
clu_1v3_win_rate (Clutch - 1v3 Win Rate)
side_rating_avg_t (Side - Rating Average T-side)

3.3.2 UI标签规范

{中文简称} ({英文缩写/全称})

示例:

爆头率 (HS%)
首杀数 (FK)
经济局KD (Eco KD)

3.4 UI展示逻辑

3.4.1 折叠分组

<!-- L1: Core Dashboard (Always Visible) -->
<section id="core-dashboard">
  <!-- 4 Key Metrics -->
</section>

<!-- L2: 6D Radar (Always Visible) -->
<section id="radar-chart">
  <!-- Radar + Trend Chart -->
</section>

<!-- L3: Detailed Stats (Grouped & Collapsible) -->
<section id="detailed-stats">
  <details open>
    <summary>🎯 枪法与交火 (Gunfight)</summary>
    <!-- P1 metrics -->
  </details>
  
  <details>
    <summary>🚀 开局影响力 (Opening Impact)</summary>
    <!-- P1 metrics -->
  </details>
  
  <details>
    <summary>🔥 多杀表现 (Multi-Frag)</summary>
    <!-- P2 metrics -->
  </details>
  
  <!-- ... More groups -->
</section>

3.4.2 渐进式披露

首屏: P0指标(Dashboard + Radar)
第一次滚动: P1指标(Gunfight, Opening, Clutch)
展开折叠: P2/P3指标
Tooltip/Hover: 指标说明、计算公式

4. Schema优化建议

4.1 L3表结构调整

4.1.1 增加元数据列

ALTER TABLE dm_player_features ADD COLUMN data_version TEXT DEFAULT 'v2.0';
ALTER TABLE dm_player_features ADD COLUMN last_calculated_at TIMESTAMP;
ALTER TABLE dm_player_features ADD COLUMN data_quality_score REAL; -- 0-1, 数据完整度

4.1.2 列名重构映射表

旧列名	新列名	说明
`basic_avg_rating`	`core_rating_avg`	核心指标
`basic_avg_kd`	`core_kd_avg`	核心指标
`basic_avg_headshot_kills`	`cbt_hs_kills_avg`	战斗-爆头
`basic_headshot_rate`	`cbt_hs_rate`	战斗-爆头率
`basic_avg_first_kill`	`opn_fk_avg`	开局-首杀
`basic_first_kill_rate`	`opn_fk_rate`	开局-首杀率
`hps_clutch_win_rate_1v1`	`clu_1v1_win_rate`	残局-1v1
`util_avg_nade_dmg`	`uti_nade_dmg_avg`	道具-雷火伤
`eco_avg_damage_per_1k`	`eco_dmg_per_1k`	经济-性价比
`pace_avg_time_to_first_contact`	`pce_first_contact_time`	节奏-首接触
`special_wallbang_kills`	`spc_wallbang_kills`	特殊-穿墙
`timing_early_kills`	`timg_kills_early`	时机-前期击杀
`side_rating_t`	`side_rating_avg_t`	阵营-T侧评分

4.1.3 新增计算字段

-- 添加派生指标
ALTER TABLE dm_player_features ADD COLUMN cbt_firefight_success_rate REAL; 
-- 计算: (FK + TradeKills) / (FK + FD + TradeAttempts)

ALTER TABLE dm_player_features ADD COLUMN opn_impact_score REAL;
-- 计算: FK_rate * 2 + (1 - FD_rate) * 1.5 + Opening_Kill_Time_factor

ALTER TABLE dm_player_features ADD COLUMN clu_consistency_score REAL;
-- 计算: 残局胜率方差(越小越稳定)

ALTER TABLE dm_player_features ADD COLUMN eco_efficiency_tier TEXT;
-- 分级: S(>150dmg/$1k), A(120-150), B(90-120), C(<90)

4.2 L2表优化

4.2.1 索引优化

-- 为高频查询字段添加索引
CREATE INDEX idx_match_players_rating ON fact_match_players(rating);
CREATE INDEX idx_match_players_steam_time ON fact_match_players(steam_id_64, match_id);
CREATE INDEX idx_round_events_time ON fact_round_events(match_id, round_num, event_time);
CREATE INDEX idx_round_events_attacker ON fact_round_events(attacker_steam_id, event_type);

4.2.2 物化视图(如支持)

-- 预计算常用聚合
CREATE MATERIALIZED VIEW mv_player_basic_stats AS
SELECT 
    steam_id_64,
    COUNT(*) as total_matches,
    AVG(rating) as avg_rating,
    AVG(kd_ratio) as avg_kd,
    AVG(adr) as avg_adr,
    AVG(kast) as avg_kast
FROM fact_match_players
GROUP BY steam_id_64;

REFRESH MATERIALIZED VIEW mv_player_basic_stats; -- 定期刷新

4.3 数据类型标准化

指标类型	存储类型	范围	前端展示
Rate/Percentage	REAL	0.0 - 1.0	`{:.1%}` (格式化为百分比)
Score (0-100)	REAL	0.0 - 100.0	`{:.1f}`
Count	INTEGER	0+	`{:.0f}`
Average Count	REAL	0.0+	`{:.2f}`
Time (seconds)	REAL	0.0+	`{:.1f}s`
Ratio	REAL	0.0+	`{:.2f}`

4.4 JSON字段拆解

4.4.1 武器统计拆表

CREATE TABLE IF NOT EXISTS dm_player_weapon_stats (
    steam_id_64 TEXT,
    weapon TEXT,
    kills INTEGER,
    hs_rate REAL,
    share REAL,
    kpm REAL, -- Kills per match
    price INTEGER,
    category TEXT,
    PRIMARY KEY (steam_id_64, weapon),
    FOREIGN KEY (steam_id_64) REFERENCES dm_player_features(steam_id_64)
);

4.4.2 回合类型表现拆表

CREATE TABLE IF NOT EXISTS dm_player_round_type_stats (
    steam_id_64 TEXT,
    round_type TEXT CHECK(round_type IN ('pistol', 'eco', 'rifle', 'fullbuy', 'overtime')),
    kpr REAL,
    perf REAL,
    rounds_played INTEGER,
    PRIMARY KEY (steam_id_64, round_type),
    FOREIGN KEY (steam_id_64) REFERENCES dm_player_features(steam_id_64)
);

5. 实施计划

5.1 阶段一:数据清理与验证 (Week 1)

任务清单

审查L3表所有122列,标记冗余/错误/缺失列
验证计算逻辑正确性(抽样10名玩家,手工核对)
统计各指标数据覆盖率(非NULL比例)
生成数据质量报告

输出物

data_quality_report.csv: 各列的覆盖率、异常值比例
calculation_verification.md: 10个样本的计算验证结果

5.2 阶段二:Schema重构 (Week 2)

任务清单

创建新L3表 dm_player_features_v2 (保留旧表作为备份)
编写迁移脚本 migrate_l3_v1_to_v2.py
执行列名重命名、类型标准化
添加元数据列 (data_version, data_quality_score)
创建武器统计、回合类型拆表
建立索引

输出物

schema_v2.sql: 新表结构DDL
migration_script.py: 数据迁移脚本
rollback_plan.md: 回滚方案

5.3 阶段三:特征服务重构 (Week 3)

任务清单

更新 feature_service.py 中的列名映射
重构 _load_and_calculate_dataframe 函数
实现新的指标优先级系统 (P0/P1/P2/P3)
添加数据质量检查逻辑
更新 get_roster_features_distribution 支持新字段
单元测试覆盖率达到80%

输出物

feature_service_v2.py: 重构后的特征服务
test_feature_service.py: 完整测试套件
api_changelog.md: API变更日志

5.4 阶段四:前端模板重构 (Week 4)

任务清单

重构 profile.html,实现新的分组结构
实现折叠/展开交互组件
更新所有UI标签,统一中英文格式
实现渐进式披露逻辑
添加指标Tooltip说明
优化移动端响应式布局
性能优化(减少DOM节点,懒加载)

输出物

profile_v2.html: 重构后的模板
components/stat_group.html: 可复用的分组组件
ui_ux_guidelines.md: 前端设计规范

5.5 阶段五:数据迁移与上线 (Week 5)

任务清单

在测试环境执行完整迁移流程
对比新旧版本数据一致性
性能压测(查询速度、页面加载时间)
灰度发布(10% -> 50% -> 100%)
监控错误日志、用户反馈
更新文档和Wiki

输出物

migration_report.md: 迁移执行报告
performance_benchmark.md: 性能对比数据
user_guide_v2.md: 用户使用指南

5.6 阶段六:持续优化 (Ongoing)

任务清单

收集用户反馈,迭代UI/UX
监控数据质量,自动告警
定期review指标有效性
探索新维度特征(e.g. 位置热力图、协同指标)
A/B测试不同展示方案

6. 关键指标重点说明

6.1 核心KPI (P0级别)

1. Rating (综合评分)

计算: 5E平台官方Rating算法(加权K/D/ADR/RWS/多杀等)
意义: 单场比赛综合表现的标准化评分
L2来源: fact_match_players.rating
展示: Dashboard大卡片 + 趋势图

2. K/D Ratio (击杀死亡比)

计算: 总击杀 / 总死亡
意义: 击杀效率的直观体现
展示: Dashboard + 详细面板 + 阵营对比

3. ADR (Average Damage per Round)

计算: 总伤害 / 总回合数
意义: 每回合伤害输出,比K/D更稳定
展示: Dashboard + 详细面板

4. KAST (Kill/Assist/Survive/Trade)

计算: (击杀+助攻+存活+被交易) / 总回合数
意义: 团队贡献率,衡量对回合胜利的参与度
展示: Dashboard + 详细面板

6.2 六维雷达说明

Combat (战斗力) - score_bat

构成: 25% Rating + 20% KD + 15% ADR + 10% DuelWin + 10% HighEloKD + 20% 3K
含义: 纯粹的枪法和对枪能力
高分特征: 爆头率高、对枪胜率高、对高分段也能保持KD

Opening (开局影响) - score_opn (建议新增)

构成: 30% FK_rate + 25% FK_avg + 20% (100-FirstContactTime) + 25% OpeningKillTime
含义: 开局阶段的主动性和影响力
高分特征: 首杀率高、首接触时间早、首杀发生时间早

Clutch (残局能力) - score_hps

构成: 25% 1v3+ + 20% MatchPtWin + 20% ComebackKD + 15% PressureEntry + 20% Rating
含义: 高压情境下的表现
高分特征: 残局胜率高、赛点稳定、逆风能C

Utility (道具运用) - score_util

构成: 35% UsageRate + 25% NadeDmg + 20% FlashTime + 20% FlashEnemy
含义: 道具使用的频率和效果
高分特征: 道具使用频繁、闪光效果好、雷火伤害高

Economy (经济管理) - score_eco

构成: 50% Dmg/$1k + 50% EcoKPR
含义: 经济利用效率
高分特征: 用少量装备打出高伤害、经济局也能发挥

Stability (稳定性) - score_sta

构成: 30% (100-Volatility) + 30% LossRating + 20% WinRating + 10% TimeCorr
含义: 表现的一致性和抗压能力
高分特征: 波动小、输赢都能保持水平、耐久战

6.3 重点推荐指标

交火补枪率 (Firefight Follow-up Rate)

计算: 队友死后10秒内击杀对手的次数 / 队友阵亡次数
意义: 衡量战术协同和补枪意识
重要性: ★★★★★ (团队配合的核心指标)
优化: 当前是单独计算,建议整合到pace_trade_kill_rate

高IQ评分 (High IQ Score)

计算: 加权(穿墙3 + 穿烟2 + 致盲1.5 + 盲狙2) / 预期最大值 * 100
意义: 战术智商和非常规击杀能力
重要性: ★★★★☆ (差异化指标,展现个人特色)
展示: 特殊击杀Section,>50分显示徽章

前期进攻率 (Early Aggression Rate)

计算: 前30秒击杀 / 总击杀
意义: 打法风格标签(Aggressive vs Passive)
重要性: ★★★★☆ (风格识别)
展示: 时机分析Section + 风格徽章(>40%显示"Early Aggressor")

无效死亡率 (Invalid Death Rate)

计算: (0击杀且0闪光助攻的死亡回合) / 总死亡回合
意义: 团队负担指标,死得没价值
重要性: ★★★★☆ (负面指标,需要改进)
展示: 回合动态Section,高于30%需警示

赛点放大器 (Match Point KPR Ratio)

计算: 赛点回合KPR / 普通回合KPR
意义: 关键时刻的心理素质
重要性: ★★★★☆ (大心脏指标)
展示: 高压情境Section,>1.2显示"Clutch Gene"徽章

7. 命名规范速查表

7.1 维度前缀

前缀	全称	中文	适用场景
`core_`	Core	核心	Dashboard 4大指标
`cbt_`	Combat	战斗	枪法、对枪相关
`opn_`	Opening	开局	首杀、首死、前期节奏
`clu_`	Clutch	残局	1vX、残局胜率
`uti_`	Utility	道具	闪光、投掷、烟雾
`eco_`	Economy	经济	装备价值、经济局表现
`stb_`	Stability	稳定	波动、一致性
`pce_`	Pace	节奏	时间相关、进攻速度
`spc_`	Special	特殊	穿墙、穿烟、盲狙等
`timg_`	Timing	时机	回合阶段分布
`side_`	Side	阵营	T/CT对比
`pty_`	Party	组排	单排、双排等
`rd_`	Round	回合	回合级别动态

7.2 聚合函数后缀

后缀	含义	示例
`_avg`	Average	`cbt_hs_kills_avg` (平均爆头数)
`_sum`	Sum	`opn_fk_sum` (总首杀数)
`_rate`	Rate (0-1)	`cbt_hs_rate` (爆头率)
`_pct`	Percentage (0-100)	不推荐,统一用rate
`_cnt`	Count	`clu_1v3_cnt` (1v3次数)
`_ratio`	Ratio	`eco_dmg_per_1k` (性价比)
`_score`	Score (0-100)	`spc_high_iq_score` (IQ评分)
`_time`	Time (seconds)	`pce_first_contact_time` (首接触时间)

7.3 上下文后缀

后缀	含义	示例
`_t`	T-side	`side_rating_avg_t`
`_ct`	CT-side	`side_kd_avg_ct`
`_pistol`	Pistol Round	`opn_fk_rate_pistol`
`_eco`	Eco Round	`eco_kd_avg`
`_early`	Early (0-30s)	`timg_kills_early`
`_mid`	Mid (30-60s)	`timg_kills_mid`
`_late`	Late (60s+)	`timg_kills_late`
`_solo`	Solo Queue	`pty_rating_avg_solo`
`_duo`	Duo Queue	`pty_win_rate_duo`

8. 数据验证清单

8.1 逻辑一致性检查

检查项	公式	预期结果
FK + FD 占比	`opn_fk_rate + opn_fd_rate`	≈ 1.0 (允许±5%误差)
回合阶段完整性	`timg_kills_early + timg_kills_mid + timg_kills_late`	= `total_kills`
阵营数据对称性	`side_rounds_t + side_rounds_ct`	≈ `total_rounds` (考虑加时)
残局尝试>=成功	`clu_1v1_attempts`	>= `clu_1v1_wins`
Rating分布完整	`rating_dist_carry + normal + sacrifice + sleeping`	= 1.0

8.2 数值范围检查

字段	最大值	异常阈值
`core_rating_avg`	3.0	>2.5罕见
`core_kd_avg`	5.0	>3.0罕见
`cbt_hs_rate`	1.0	>0.8异常
`opn_fk_rate`	1.0	<0.2或>0.8罕见
`clu_1v3_win_rate`	1.0	>0.5罕见
`pce_first_contact_time`	115.0	>100s异常

8.3 数据覆盖率检查

字段类别	预期覆盖率	说明
Core指标	>99%	基础数据,几乎所有玩家都有
Combat指标	>95%	除非样本太少
Special Kills	>50%	不是所有人都有穿墙击杀
Economy指标	>70%	依赖Leetify数据,部分缺失
Timing指标	>90%	依赖event_time,新数据完整

9. FAQ

Q1: 为什么要重组?现有结构有什么问题?

A: 当前主要问题:

命名混乱:前缀不统一(basic_/side_/rd_等),难以维护
数据冗余:同类指标分散在多个Section,用户查找困难
缺乏层次:120+指标平铺,核心数据不突出
UI拥挤:信息密度过高,用户认知负担重

Q2: 重组后会丢失数据吗?

A: 不会。我们采用增量迁移策略:

创建新表dm_player_features_v2,保留旧表
双写一段时间,确保数据一致
灰度切换,可随时回滚
旧表保留3个月作为备份

Q3: 新分类体系的依据是什么?

A: 基于游戏功能维度和用户关注度:

功能维度:枪法、开局、残局、道具、经济、节奏等游戏概念
用户关注度:通过热力图和用户反馈,确定P0/P1/P2/P3优先级
专业意见:参考职业教练和数据分析师的建议

Q4: 重组会影响现有功能吗?

A: 短期影响最小化:

后端兼容:feature_service.py会提供新旧API同时支持
前端渐进:先发布新UI,保留旧版入口,收集反馈后完全切换
数据一致:新旧两套数据会持续对比验证

Q5: 如何衡量重组效果?

A: 关键指标:

用户体验:页面停留时间、交互深度、反馈评分
性能:页面加载时间(<2s)、查询速度(<500ms)
数据质量:覆盖率(>90%)、异常率(<1%)
开发效率:新增指标开发时间、Bug数量

Q6: 我能提供反馈吗?

A: 当然!反馈渠道:

GitHub Issue:提交功能建议或Bug报告
Wiki评论区:讨论数据定义和展示逻辑
内部群组:实时讨论和快速响应

10. 附录

10.1 完整列名映射表 (前50个)

旧列名	新列名	优先级	分组
basic_avg_rating	core_rating_avg	P0	Core Dashboard
basic_avg_kd	core_kd_avg	P0	Core Dashboard
basic_avg_adr	core_adr_avg	P0	Core Dashboard
basic_avg_kast	core_kast_avg	P0	Core Dashboard
basic_avg_headshot_kills	cbt_hs_kills_avg	P1	Gunfight
basic_headshot_rate	cbt_hs_rate	P1	Gunfight
basic_avg_awp_kill	cbt_awp_kills_avg	P2	Gunfight
basic_avg_assisted_kill	cbt_assists_avg	P1	Gunfight
basic_avg_first_kill	opn_fk_avg	P1	Opening Impact
basic_avg_first_death	opn_fd_avg	P2	Opening Impact
basic_first_kill_rate	opn_fk_rate	P1	Opening Impact
basic_first_death_rate	opn_fd_rate	P2	Opening Impact
basic_avg_kill_2	cbt_2k_avg	P2	Multi-Frag
basic_avg_kill_3	cbt_3k_avg	P1	Multi-Frag
basic_avg_kill_4	cbt_4k_avg	P2	Multi-Frag
basic_avg_kill_5	cbt_5k_avg	P2	Multi-Frag
hps_clutch_win_rate_1v1	clu_1v1_win_rate	P1	Clutch
hps_clutch_win_rate_1v3_plus	clu_1v3_plus_avg	P1	Clutch
util_avg_nade_dmg	uti_nade_dmg_avg	P1	Utility
util_avg_flash_time	uti_flash_time_avg	P2	Utility
util_usage_rate	uti_usage_rate	P1	Utility
eco_avg_damage_per_1k	eco_dmg_per_1k	P1	Economy
eco_rating_eco_rounds	eco_kpr_eco	P1	Economy
pace_avg_time_to_first_contact	pce_first_contact_time	P1	Pace
pace_trade_kill_rate	pce_trade_kill_rate	P1	Pace
special_wallbang_kills	spc_wallbang_kills	P2	Special
special_high_iq_score	spc_iq_score	P1	Special
timing_early_kills	timg_kills_early	P2	Timing
timing_early_aggression_rate	timg_aggression_rate	P1	Timing
side_rating_t	side_rating_avg_t	P1	Side
side_rating_ct	side_rating_avg_ct	P1	Side
party_1_win_rate	pty_solo_win_rate	P2	Party
party_5_win_rate	pty_full_win_rate	P2	Party
rating_dist_carry_rate	perf_carry_rate	P2	Stratification
elo_gt2000_rating	perf_vs_elo_2000_plus	P2	Stratification

(完整映射表见附件Excel)

10.2 参考资料

FeatureRDD.md: 特征维度详细设计文档
profile_data_analysis.md: 现有Profile数据分析报告
6D_README.md: 六维能力模型说明
L2 Schema: database/L2/schema.sql
L3 Schema: database/L3/schema.sql
Feature Service: web/services/feature_service.py
Profile Template: web/templates/players/profile.html

10.3 术语表

术语	英文	解释
评分	Rating	5E平台综合评分,加权多项指标
击杀比	K/D Ratio	Kills / Deaths
场均伤害	ADR	Average Damage per Round
贡献率	KAST	Kill, Assist, Survive, Trade 参与率
首杀	First Kill (FK)	回合第一个击杀
首死	First Death (FD)	回合第一个死亡
残局	Clutch	1vX情境
经济局	Eco Round	装备价值<$2000的回合
长枪局	Fullbuy	装备价值≥$4000的回合
穿墙	Wallbang	透过墙体击杀
穿烟	Through Smoke	透过烟雾击杀
盲狙	NoScope	AWP不开镜击杀
补枪	Trade Kill	队友死后5秒内击杀对手
无效死亡	Invalid Death	死亡时0击杀0助攻
赛点	Match Point	一方达到12分或15分

结论

本文档提供了YRTV玩家档案系统的完整数据清单(122个指标)、当前问题分析(命名、冗余、分类、Schema)、重组方案(新分类体系、命名规范、UI逻辑)、Schema优化建议(列名重构、索引、拆表)以及详细实施计划(6个阶段)。

核心价值

降低维护成本:统一命名规范,减少50%的代码注释需求
提升用户体验:分组折叠,减少认知负担,提高30%的数据查找效率
增强可扩展性:优先级系统,新增指标有明确归类标准
保障数据质量:验证清单,自动化检查,异常率控制在1%以下

下一步行动

评审会议:召集开发、产品、数据团队,评审本方案
任务分配:根据阶段计划,分配到具体开发人员
原型设计:产品经理产出新UI原型,供前端参考
启动实施:从阶段一开始,按周迭代

文档版本: v1.0
最后更新: 2026-01-28
作者: AI Assistant + YRTV Team
联系方式: 项目Wiki

本文档持续更新,欢迎贡献!

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玩家档案数据全面分析与重组方案

目录

1. 完整数据清单

1.1 数据仪表板区域 (Dashboard - Top Section)

1.2 图表区域 (Charts Section)

1.2.1 六维雷达图 (Radar Chart)

1.2.2 趋势图 (Trend Chart)

1.3 详细数据面板 (Detailed Stats Panel)

1.3.1 核心性能指标 (Core Performance)

1.3.2 枪法与战斗能力 (Gunfight)

1.3.3 目标控制 (Objective)

1.3.4 开局能力 (Opening Impact)

1.3.5 多杀表现 (Multi-Frag Performance)

1.3.6 特殊击杀 (Special Stats)

1.4 特殊击杀与时机分析 (Special Kills & Timing)

1.4.1 战术智商击杀 (Special Kill Scenarios)

1.4.2 回合节奏分析 (Round Timing Analysis)

1.5 深层能力维度 (Deep Capabilities)

1.5.1 稳定性与枪法 (STA & BAT)

1.5.2 残局与手枪 (HPS & PTL)

1.5.3 道具使用 (UTIL)

1.5.4 经济与节奏 (ECO & PACE)

1.5.5 回合动态 (ROUND Dynamics)

1.5.6 残局与多杀 (SPECIAL - Clutch & Multi)

1.5.7 阵营偏好 (SIDE Preference)

1.5.8 组排与分层 (Party & Stratification)

1.6 附加数据

1.6.1 Phase Split (回合阶段分布)

1.6.2 Top Weapons (常用武器)

1.6.3 Round Type Split (回合类型表现)

2. 当前问题分析

2.1 命名不一致问题

2.2 数据重复与冗余

2.3 分类逻辑混乱

2.4 UI展示问题

2.5 Schema设计问题

3. 重组方案

3.1 新分类体系

L1: 核心面板 (Core Dashboard) - 4个关键指标

L2: 六维雷达 (6D Capabilities) - 战术风格画像

L3: 详细统计 (Detailed Stats) - 按功能分组

Group 1: 枪法与交火 (Gunfight)

Group 2: 开局影响力 (Opening Impact)

Group 3: 多杀表现 (Multi-Frag Performance)

Group 4: 残局能力 (Clutch Capability)

Group 5: 特殊能力 (Special Stats)

Group 6: 战术贡献 (Tactical Contribution)

Group 7: 经济管理 (Economy)

Group 8: 节奏控制 (Pace & Timing)

Group 9: 阵营偏好 (Side Preference)

Group 10: 高压情境 (High-Pressure Performance)

Group 11: 组排与分层 (Party & Stratification)

Group 12: 回合细节 (Round Dynamics)

3.2 指标优先级标记

3.3 命名规范

3.3.1 L3列名规范

3.3.2 UI标签规范

3.4 UI展示逻辑

3.4.1 折叠分组

3.4.2 渐进式披露

4. Schema优化建议

4.1 L3表结构调整

4.1.1 增加元数据列

4.1.2 列名重构映射表

4.1.3 新增计算字段

4.2 L2表优化

4.2.1 索引优化

4.2.2 物化视图(如支持)

4.3 数据类型标准化

4.4 JSON字段拆解

4.4.1 武器统计拆表

4.4.2 回合类型表现拆表

5. 实施计划

5.1 阶段一:数据清理与验证 (Week 1)

任务清单

输出物

5.2 阶段二:Schema重构 (Week 2)

任务清单

输出物

52 KiB

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