TomH — CS2 Stats

76561198093893260[U:1:133627532]Steam profile ↗✓ No bans

2,397Tracked matches61%Win rate2020Tracked since

CSDB Rating7.3 StrongAggressive Rifler

Premier CS Rating21,422Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.9% of ranked players (population est.)

CSDB Leaderboard#10644 of 32624 tracked

FaceitLevel 10 · 2,345 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim82

Positioning58

Utility70

0–100 skill scores via Leetify.

Recent form

HOT53–44–3Last 10053%Win rateWWWLWWLWWW

Last 10 vs previous 10: +30pp win rate · -0.00 avg rating

Player DNA

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

Aim8.2

Aggression7.0

Utility7.0

Positioning5.8

Opening Duels3.8

Clutch3.0

Strong CT-side openerEffective flashes

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 iM 93% playstyle similarity

Most alike: aim profile, opening-fight frequency.

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

Preaim. Mechanical aim is strong but the crosshair sits 11.9° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 56% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 641ms 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

Aim8.2

Positioning5.8

Utility7.0

Mechanics8.3

Opening Duels3.8

Win Impact8.6

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.01

first ⅓ avg 0.04 → last ⅓ avg 0.04

Reaction time643ms+14ms

first ⅓ avg 629ms → last ⅓ avg 643ms

Headshot accuracy26.3%+3.9%

first ⅓ avg 22.4% → last ⅓ avg 26.3%

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

0.25Best rating — mirage 13–7

13–0Biggest win — dust2

8Longest win streak

W3Current streak

7–6In matches decided by ≤2 rounds

6Overtime games

Map breakdown

cacheBest map · 67% over 12anubisWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	31	19–12	61%	0.03
dust2	B	27	13–14	48%	0.02
cache	S	12	8–4	67%	0.07
inferno	B	11	5–6	45%	0.02
anubis	D	6	1–5	17%	0.03
overpass	B	6	3–3	50%	0.08
nuke	A	5	3–2	60%	0.06
ancient	—	2	1–1	50%	0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

669Matches

55%Win rate

1.48Avg K/D

95.4ADR

52%Headshot %

Clutches & streaks

35%1v1 clutch win

28%1v2 clutch win

13Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	73	56%	1.51	22.0
Vertigo	55	58%	1.48	20.9
Dust2	32	41%	1.41	20.5
Overpass	22	50%	1.67	24.2
Anubis	17	29%	1.25	20.1
Ancient	16	44%	1.25	17.9
Inferno	12	42%	1.13	18.8
Nuke	7	57%	1.25	18.7

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

25.8%Headshot accuracy

39.0%Accuracy (enemy spotted)

42.3%Spray accuracy

87.5%Counter-strafing

11.9°Preaim

641msReaction time

33.7%T opening success

56.4%CT opening success

0.74Enemies flashed / flash

12.5%Flash assists

13.43HE damage / grenade

14.80Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 33.6976% — below the 40% mark we flag

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–10	0.08	34%	2 Aug →
mirage	13–4	-0.01	15%	2 Aug →
inferno	13–8	0.09	22%	2 Aug →
anubis	7–13	0.02	27%	2 Aug →
nuke	13–8	0.13	24%	2 Aug →
cache	13–4	0.14	25%	2 Aug →
mirage	11–13	0.00	24%	1 Aug →
cache	13–2	0.10	26%	1 Aug →
dust2	13–0	-0.00	31%	1 Aug →
dust2	13–5	0.06	32%	1 Aug →
cache	7–13	0.09	15%	21 Jul →
cache	8–13	0.05	27%	18 Jul →
cache	13–2	0.12	26%	13 Jul →
cache	13–0	0.10	31%	12 Jul →
mirage	13–10	0.06	33%	12 Jul →
mirage	13–4	0.13	34%	11 Jul →
mirage	10–13	0.02	24%	11 Jul →
mirage	3–13	0.01	49%	11 Jul →
cache	1–13	0.01	20%	10 Jul →
nuke	13–10	0.07	28%	30 Jun →
dust2	11–13	0.05	27%	28 Jun →
dust2	7–13	-0.00	27%	24 Jun →
dust2	15–15	-0.01	26%	23 Jun →
overpass	13–11	0.06	30%	23 Jun →
mirage	2–13	-0.04	20%	23 Jun →
anubis	7–13	0.06	27%	22 Jun →
mirage	13–4	0.01	16%	22 Jun →
dust2	13–6	-0.00	21%	17 Jun →
nuke	15–15	-0.00	11%	14 Jun →
nuke	13–8	0.02	30%	14 Jun →
mirage	11–13	-0.01	39%	14 Jun →
mirage	9–13	0.00	30%	14 Jun →
dust2	5–13	-0.01	19%	14 Jun →
mirage	13–11	-0.02	21%	14 Jun →
dust2	5–13	-0.06	25%	14 Jun →
mirage	13–9	-0.02	18%	13 Jun →
mirage	13–8	0.00	28%	13 Jun →
mirage	13–9	0.07	28%	13 Jun →
mirage	13–10	0.02	21%	13 Jun →
anubis	13–10	-0.00	24%	13 Jun →
overpass	13–2	0.17	30%	13 Jun →
mirage	13–3	0.08	29%	13 Jun →
ancient	13–8	0.01	20%	13 Jun →
mirage	6–13	0.11	23%	9 Jun →
inferno	3–13	0.00	20%	7 Jun →
dust2	3–13	-0.01	27%	7 Jun →
dust2	11–2	-0.01	39%	30 May →
mirage	13–8	0.08	40%	29 May →
dust2	13–11	0.11	32%	25 May →
mirage	13–10	0.01	27%	25 May →
inferno	13–8	-0.02	29%	23 May →
mirage	5–13	-0.01	28%	17 May →
dust2	3–13	-0.00	34%	17 May →
dust2	5–13	-0.02	15%	17 May →
dust2	13–6	-0.03	17%	17 May →
overpass	16–12	0.04	33%	17 May →
overpass	7–13	0.11	43%	16 May →
mirage	13–9	0.15	37%	16 May →
dust2	10–13	-0.01	37%	14 May →
dust2	13–11	0.03	28%	13 May →
dust2	4–6	0.07	16%	13 May →
inferno	16–14	-0.03	27%	13 May →
nuke	7–13	0.06	25%	10 May →
inferno	10–13	0.04	22%	10 May →
anubis	4–13	0.00	21%	10 May →
cache	13–10	0.05	24%	9 May →
anubis	10–13	0.06	22%	5 May →
inferno	13–8	0.08	31%	5 May →
mirage	13–11	0.09	27%	4 May →
cache	13–5	0.06	26%	4 May →
inferno	7–13	-0.08	11%	4 May →
overpass	8–13	0.09	36%	2 May →
mirage	8–13	0.03	31%	2 May →
mirage	13–10	0.02	25%	1 May →
cache	13–11	0.05	17%	1 May →
cache	13–3	0.13	28%	30 Apr →
inferno	6–13	0.04	18%	29 Apr →
cache	11–13	-0.06	16%	28 Apr →
dust2	13–6	0.06	30%	27 Apr →
dust2	13–7	0.05	16%	27 Apr →
mirage	9–13	0.00	13%	26 Apr →
inferno	13–9	0.04	29%	26 Apr →
mirage	13–7	0.25	28%	26 Apr →
dust2	13–6	0.03	23%	26 Apr →
mirage	8–13	0.03	8%	26 Apr →
dust2	8–13	-0.01	22%	26 Apr →
dust2	13–8	0.11	24%	26 Apr →
dust2	11–13	0.05	21%	25 Apr →
dust2	2–13	-0.06	11%	25 Apr →
overpass	9–13	-0.01	35%	24 Apr →
mirage	13–9	0.01	18%	24 Apr →
ancient	15–15	0.08	26%	24 Apr →
mirage	16–12	0.02	19%	23 Apr →
dust2	1–6	-0.01	27%	23 Apr →
inferno	7–13	-0.03	25%	23 Apr →
inferno	5–13	0.08	26%	22 Apr →
mirage	9–13	-0.04	20%	22 Apr →
dust2	13–9	0.04	21%	22 Apr →
anubis	7–13	0.03	16%	21 Apr →
mirage	13–10	-0.01	16%	21 Apr →