The Wok Damage — CS2 Stats

76561198378571739[U:1:418306011]Steam profile ↗✓ No bans

410Tracked matches71%Win rate2021Tracked since

CSDB Rating7.0 StrongAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim73

Positioning68

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY59–37–4Last 10059%Win rateWLLWWWLWWW

Last 10 vs previous 10: -10pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.3

Aggression10.0

Utility6.3

Positioning6.8

Opening Duels5.5

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like ZywOo 91% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 566ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim7.3

Positioning6.8

Utility6.3

Mechanics6.2

Opening Duels5.5

Win Impact10.0

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time576ms−60ms

first ⅓ avg 635ms → last ⅓ avg 576ms

Headshot accuracy19.2%−2.4%

first ⅓ avg 21.6% → last ⅓ avg 19.2%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.20Best rating — dust2 13–2

13–0Biggest win — dust2

8Longest win streak

6–3In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 67% over 6dust2Weakest map · 57% over 84

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	84	48–36	57%	0.01
mirage	S	6	4–2	67%	0.01
cache	S	6	4–2	67%	0.04
anubis	—	2	1–1	50%	0.03
inferno	—	1	1–0	100%	0.09
ancient	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (57% over 84). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.6%Headshot accuracy

33.9%Accuracy (enemy spotted)

35.9%Spray accuracy

78.1%Counter-strafing

8.5°Preaim

566msReaction time

53.4%T opening success

51.0%CT opening success

0.52Enemies flashed / flash

9.7%Flash assists

12.67HE damage / grenade

9.95Flashes / match

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–5	0.01	23%	30 Aug →
dust2	5–13	-0.01	30%	30 Aug →
anubis	8–13	0.05	20%	30 Aug →
dust2	13–3	0.06	20%	30 Aug →
inferno	13–4	0.09	7%	30 Aug →
mirage	13–5	0.10	10%	28 Aug →
dust2	10–13	0.04	17%	22 Aug →
dust2	13–9	0.04	21%	6 Aug →
mirage	13–11	-0.05	16%	5 Aug →
mirage	13–7	0.03	19%	5 Aug →
mirage	13–7	0.02	18%	4 Aug →
dust2	13–1	0.06	31%	4 Aug →
dust2	13–6	0.00	19%	4 Aug →
dust2	13–11	0.03	11%	4 Aug →
dust2	13–10	0.05	13%	3 Aug →
mirage	10–13	-0.03	33%	3 Aug →
dust2	9–13	-0.04	18%	28 Jul →
dust2	13–5	0.01	13%	23 Jul →
dust2	13–5	0.01	19%	23 Jul →
dust2	13–7	0.09	17%	21 Jul →
dust2	7–13	0.10	17%	20 Jul →
dust2	12–12	-0.02	31%	15 Jul →
dust2	13–5	0.05	13%	12 Jul →
dust2	12–12	-0.01	14%	12 Jul →
dust2	7–13	-0.05	21%	12 Jul →
dust2	9–13	-0.07	17%	10 Jul →
dust2	13–6	0.00	13%	10 Jul →
dust2	13–9	-0.00	24%	5 Jul →
dust2	13–5	0.03	11%	5 Jul →
dust2	13–11	0.06	22%	5 Jul →
dust2	13–9	0.07	25%	4 Jul →
dust2	13–7	0.01	26%	2 Jul →
cache	10–13	-0.03	27%	2 Jul →
ancient	13–8	-0.00	19%	2 Jul →
dust2	13–6	0.05	25%	27 Jun →
dust2	13–3	0.06	17%	26 Jun →
anubis	13–10	0.00	26%	20 Jun →
dust2	9–13	0.02	12%	19 Jun →
dust2	13–4	0.12	20%	19 Jun →
dust2	11–13	0.01	11%	18 Jun →
dust2	6–13	-0.02	24%	14 Jun →
dust2	12–12	0.09	15%	14 Jun →
dust2	10–13	0.01	10%	14 Jun →
dust2	13–11	-0.03	15%	13 Jun →
dust2	10–13	-0.06	20%	10 Jun →
dust2	2–13	-0.02	26%	10 Jun →
dust2	11–13	0.03	19%	10 Jun →
dust2	13–9	-0.03	11%	7 Jun →
dust2	13–7	-0.05	16%	5 Jun →
dust2	9–13	-0.05	15%	5 Jun →
dust2	13–3	0.02	16%	5 Jun →
dust2	10–13	0.04	38%	4 Jun →
dust2	9–13	0.02	20%	4 Jun →
dust2	13–10	-0.09	40%	3 Jun →
dust2	8–13	-0.04	22%	3 Jun →
dust2	5–13	-0.07	13%	3 Jun →
dust2	13–11	0.02	15%	3 Jun →
dust2	8–13	-0.01	16%	3 Jun →
dust2	13–2	0.20	23%	30 May →
dust2	6–13	-0.00	35%	28 May →
dust2	5–13	-0.06	6%	27 May →
dust2	13–9	-0.02	11%	27 May →
dust2	13–7	0.02	35%	27 May →
dust2	13–5	-0.07	15%	27 May →
dust2	2–13	-0.03	27%	24 May →
dust2	13–11	-0.02	31%	23 May →
dust2	13–5	-0.06	18%	23 May →
dust2	13–5	0.02	31%	23 May →
dust2	1–5	-0.09	0%	19 May →
dust2	8–13	0.03	26%	19 May →
dust2	13–5	-0.08	21%	19 May →
dust2	13–9	-0.01	16%	17 May →
dust2	11–13	-0.06	19%	16 May →
dust2	13–1	-0.03	26%	16 May →
dust2	6–13	0.02	28%	16 May →
dust2	8–13	-0.04	11%	16 May →
dust2	9–13	0.06	26%	13 May →
dust2	13–4	0.13	33%	12 May →
dust2	13–0	-0.01	4%	11 May →
dust2	13–7	0.01	7%	5 May →
cache	13–9	-0.02	19%	5 May →
cache	13–5	0.11	24%	5 May →
dust2	2–13	-0.10	12%	5 May →
dust2	13–6	0.00	18%	5 May →
dust2	13–4	0.01	10%	5 May →
dust2	13–0	0.11	23%	5 May →
dust2	3–13	-0.06	25%	3 May →
cache	13–6	0.18	42%	1 May →
cache	13–9	0.02	15%	1 May →
dust2	7–13	0.03	34%	1 May →
dust2	13–6	0.05	28%	1 May →
dust2	12–12	-0.01	18%	30 Apr →
dust2	13–6	0.03	21%	30 Apr →
cache	5–13	-0.02	21%	30 Apr →
dust2	9–13	0.02	24%	30 Apr →
dust2	13–5	0.06	29%	26 Apr →
dust2	13–8	-0.02	15%	21 Apr →
mirage	8–13	-0.02	26%	20 Apr →
dust2	13–0	0.02	12%	17 Apr →
dust2	13–2	-0.05	50%	17 Apr →