Tomson — CS2 Stats

AR76561199020741517[U:1:1060475789]Steam profile ↗✓ No bans

147Tracked matches43%Win rate2025Tracked since

590Hours in CS27Hrs last 2 wks

CSDB Rating3.9 LearningSupport

Ladder ranks via Leetify

Performance scores

Aim41

Positioning35

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateWLWTLLWWWL

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −3.8pp headshot accuracy · +88ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

2–2–1 · 40% win rate
Avg rating -0.03
Avg headshot accuracy 12%
Avg reaction 692ms

Last 10

5–4–1 · 50% win rate
Avg rating -0.03
Avg headshot accuracy 12%
Avg reaction 665ms

Last 20

8–10–2 · 40% win rate
Avg rating -0.03
Avg headshot accuracy 13%
Avg reaction 621ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2.4 against its own average).

Aim4.1

Utility5.3

Positioning3.5

Opening Duels0.0

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like Twistzz 74% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 626ms 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

Aim4.1

Positioning3.5

Utility5.3

Mechanics6.2

Opening Duels0.0

Win Impact2.6

Composite 3.9/10 (Learning), 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 rating-0.03+0.01

first ⅓ avg -0.04 → last ⅓ avg -0.03

Reaction time630ms−62ms

first ⅓ avg 692ms → last ⅓ avg 630ms

Headshot accuracy12.8%−1.3%

first ⅓ avg 14.1% → last ⅓ avg 12.8%

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.

Personal bests

0.16Best match rating · 13–1 · office, 12 Sept →

35%Best headshot accuracy · 1–13 · mirage, 13 Sept →

406msFastest reaction time · 1–11 · office, 20 Sept →

13–1Biggest win · office, 10 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak

6–7In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 55% over 11nukeWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
office	C	48	21–27	44%	-0.02
mirage	C	19	8–11	42%	-0.03
dust2	A	11	6–5	55%	-0.05
nuke	D	8	2–6	25%	-0.04
vertigo	C	5	2–3	40%	-0.04
ancient	—	3	1–2	33%	-0.07
train	—	2	2–0	100%	-0.02
inferno	—	2	0–2	0%	-0.04
anubis	—	2	2–0	100%	-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,599Lifetime kills

2.09K/D · Top 1% of tracked players

702Matches

50.7%Match win rate · Top 25% of tracked players

53.0%Headshot % · Top 25% of tracked players

2.2%Shot accuracy

2,893MVPs

247Hours (in match)

741Bombs planted

362Bombs defused

Most-used weapons

AK-476,040

M4A4 / M4A1-S3,740

P2000 / USP-S1,296

Desert Eagle1,111

Glock-18803

AWP688

MP7647

Tec-9558

Negev556

Galil AR547

Lifetime map wins

1,761dust2

790office

737inferno

411vertigo

407nuke

202train

47italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

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

12.4%Headshot accuracy

27.2%Accuracy (enemy spotted)

28.0%Spray accuracy

77.8%Counter-strafing

9.0°Preaim

626msReaction time

25.1%T opening success

28.9%CT opening success

0.50Enemies flashed / flash

7.1%Flash assists

7.52HE damage / grenade

11.48Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.3516% — below the 15% mark we flag
Aim Training →
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 25.0968% — below the 40% mark we flag

Spend your practice time on Nuke

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
office	13–1	0.06	11%	10 Oct →
mirage	10–13	-0.07	12%	9 Oct →
vertigo	13–6	0.01	16%	9 Oct →
nuke	12–12	-0.08	9%	9 Oct →
mirage	8–13	-0.05	11%	8 Oct →
vertigo	2–13	-0.04	11%	8 Oct →
dust2	13–11	-0.07	12%	7 Oct →
train	13–10	-0.06	9%	7 Oct →
train	13–3	0.01	5%	7 Oct →
inferno	10–13	-0.06	19%	6 Oct →
dust2	5–13	-0.03	25%	5 Oct →
mirage	8–13	-0.06	10%	4 Oct →
office	4–13	-0.02	21%	4 Oct →
office	13–9	-0.03	12%	3 Oct →
mirage	13–11	-0.04	11%	2 Oct →
office	12–12	-0.00	20%	2 Oct →
mirage	6–13	-0.02	12%	1 Oct →
office	1–13	-0.04	14%	1 Oct →
office	7–13	0.03	12%	30 Sept →
office	13–6	-0.02	19%	30 Sept →
mirage	13–11	0.00	8%	29 Sept →
mirage	13–5	-0.03	2%	29 Sept →
mirage	6–13	-0.05	9%	28 Sept →
office	6–13	-0.07	19%	28 Sept →
nuke	11–13	-0.01	7%	27 Sept →
office	3–13	-0.04	19%	26 Sept →
vertigo	13–3	-0.06	16%	26 Sept →
mirage	11–13	0.05	13%	25 Sept →
office	8–13	-0.04	9%	24 Sept →
office	13–9	-0.01	5%	24 Sept →
nuke	13–10	-0.01	16%	23 Sept →
vertigo	2–8	-0.10	8%	23 Sept →
dust2	6–13	-0.06	25%	22 Sept →
anubis	13–3	0.03	22%	22 Sept →
mirage	4–13	-0.05	8%	22 Sept →
nuke	5–13	-0.04	11%	22 Sept →
mirage	9–13	-0.09	10%	21 Sept →
dust2	13–10	-0.03	21%	21 Sept →
office	4–13	-0.05	16%	21 Sept →
office	13–8	-0.07	9%	21 Sept →
dust2	2–13	-0.09	23%	21 Sept →
office	13–6	-0.04	15%	20 Sept →
office	1–11	-0.00	6%	20 Sept →
office	3–13	-0.09	16%	20 Sept →
anubis	13–9	-0.04	8%	19 Sept →
dust2	13–7	-0.08	17%	19 Sept →
mirage	13–5	0.02	18%	19 Sept →
office	12–12	0.08	11%	19 Sept →
office	5–13	-0.05	14%	19 Sept →
office	5–13	-0.05	19%	18 Sept →
office	10–13	0.01	12%	18 Sept →
office	7–13	-0.01	16%	16 Sept →
office	13–7	-0.06	8%	16 Sept →
vertigo	3–13	-0.03	11%	16 Sept →
office	8–13	0.01	16%	16 Sept →
office	11–13	-0.04	14%	15 Sept →
office	13–11	-0.09	17%	13 Sept →
mirage	1–13	-0.02	35%	13 Sept →
office	13–1	0.16	28%	12 Sept →
mirage	13–9	-0.02	30%	12 Sept →
office	13–8	0.09	16%	11 Sept →
office	13–6	-0.05	10%	11 Sept →
office	11–13	-0.07	9%	9 Sept →
office	3–13	-0.03	6%	7 Sept →
office	13–9	-0.07	13%	7 Sept →
office	9–13	-0.04	26%	7 Sept →
office	13–5	-0.02	19%	6 Sept →
ancient	10–13	-0.07	17%	5 Sept →
dust2	13–5	-0.05	17%	5 Sept →
mirage	4–13	-0.07	14%	5 Sept →
office	13–10	-0.09	13%	4 Sept →
ancient	13–5	-0.03	8%	2 Sept →
dust2	13–6	0.03	18%	2 Sept →
office	11–13	0.06	7%	2 Sept →
office	13–8	-0.02	22%	2 Sept →
office	5–13	0.01	10%	31 Aug →
office	3–13	-0.01	11%	22 Aug →
office	7–13	0.03	11%	20 Aug →
ancient	2–13	-0.11	23%	18 Aug →
office	13–3	-0.04	10%	10 Aug →
nuke	13–7	-0.02	18%	6 Aug →
nuke	5–13	-0.02	13%	5 Aug →
mirage	13–7	0.01	25%	5 Aug →
inferno	12–12	-0.02	28%	4 Aug →
mirage	13–2	-0.01	6%	4 Aug →
dust2	13–9	-0.05	8%	24 Jul →
office	13–4	-0.04	23%	22 Jul →
dust2	5–13	-0.09	11%	22 Jul →
mirage	13–11	-0.10	18%	22 Jul →
office	9–13	-0.05	12%	20 Jul →
nuke	5–13	-0.09	15%	20 Jul →
office	10–13	-0.07	16%	19 Jul →
office	13–4	-0.01	18%	19 Jul →
nuke	11–13	-0.08	10%	15 Jul →
mirage	11–13	-0.06	9%	15 Jul →
office	13–9	-0.06	3%	15 Jul →
office	13–11	-0.09	12%	14 Jul →
office	13–5	-0.02	24%	14 Jul →
dust2	9–13	-0.08	11%	11 Jul →
office	8–13	-0.10	7%	11 Jul →