ton — CS2 Stats

76561198253297460[U:1:293031732]Steam profile ↗✓ No bans

386Tracked matches66%Win rate2021Tracked since

489Hours in CS

CSDB Rating6.7 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim83

Positioning58

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY55–40–5Last 10055%Win rateLLLWLLWWWW

Last 10 vs previous 10: -10pp win rate · +0.01 avg rating

Player DNA

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

Aim8.3

Aggression7.7

Utility5.3

Positioning5.8

Opening Duels2.6

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 b1t 93% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 575ms 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

Aim8.3

Positioning5.8

Utility5.3

Mechanics6.7

Opening Duels2.6

Win Impact10.0

Composite 6.7/10 (Solid), 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+0.04

first ⅓ avg -0.01 → last ⅓ avg 0.02

Reaction time581ms−56ms

first ⅓ avg 637ms → last ⅓ avg 581ms

Headshot accuracy23.3%−8.2%

first ⅓ avg 31.5% → last ⅓ avg 23.3%

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

0.18Best rating — mirage 13–6

13–0Biggest win — nuke

5Longest win streak

L3Current streak

2–7In matches decided by ≤2 rounds

4Overtime games

Map breakdown

overpassBest map · 89% over 9dust2Weakest map · 39% over 18

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	28	13–15	46%	0.01
dust2	C	18	7–11	39%	-0.01
nuke	A	10	6–4	60%	0.03
mirage	C	9	4–5	44%	0.01
overpass	S	9	8–1	89%	0.05
anubis	S	8	6–2	75%	0.02
ancient	S	8	6–2	75%	0.02
train	—	3	2–1	67%	-0.03
cache	—	2	2–0	100%	0.06
italy	—	1	0–1	0%	-0.00
warden	—	1	0–1	0%	-0.02
vertigo	—	1	0–1	0%	0.10
agency	—	1	0–1	0%	-0.07
grail	—	1	1–0	100%	0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,480Lifetime kills

1.18K/D · Top 25% of tracked players

1,160Matches

52.4%Match win rate · Top 25% of tracked players

44.8%Headshot %

16.9%Shot accuracy · Top 25% of tracked players

2,931MVPs

489Hours (in match)

841Bombs planted

344Bombs defused

Most-used weapons

AK-476,273

M4A4 / M4A1-S4,090

AWP2,400

Desert Eagle1,314

P2000 / USP-S1,196

Glock-181,066

P90700

SSG 08504

P250485

MP9480

Lifetime map wins

3,870inferno

2,149dust2

640vertigo

477nuke

129train

97cbble

88office

50lake

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.

23.2%Headshot accuracy

36.2%Accuracy (enemy spotted)

43.0%Spray accuracy

79.9%Counter-strafing

9.2°Preaim

575msReaction time

45.8%T opening success

34.9%CT opening success

0.64Enemies flashed / flash

9.7%Flash assists

11.06HE damage / grenade

16.09Flashes / 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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 34.9404% — below the 40% mark we flag

Spend your practice time on Dust 2

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

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	3–9	-0.03	19%	2 Aug →
mirage	9–13	-0.04	12%	29 Jul →
dust2	1–13	-0.04	29%	29 Jul →
cache	7–3	0.05	31%	28 Jul →
italy	10–13	-0.00	10%	28 Jul →
anubis	9–13	0.04	33%	16 Jul →
mirage	13–7	0.13	37%	16 Jul →
nuke	13–10	0.07	17%	1 Jul →
overpass	13–6	0.11	30%	1 Jul →
inferno	13–4	-0.01	29%	1 Jul →
cache	13–3	0.07	27%	1 Jul →
warden	5–13	-0.02	7%	23 Jan →
inferno	13–10	0.03	25%	17 Jan →
nuke	13–9	0.01	20%	17 Jan →
overpass	13–10	0.02	18%	17 Jan →
ancient	13–3	0.00	17%	16 Jan →
dust2	5–13	0.09	30%	29 Sept →
dust2	2–13	-0.07	44%	29 Sept →
inferno	9–13	-0.04	15%	25 Sept →
inferno	13–5	0.08	28%	21 Sept →
inferno	13–3	-0.00	23%	21 Sept →
dust2	8–13	0.04	27%	21 Sept →
nuke	13–8	0.05	29%	11 Sept →
ancient	13–2	0.06	29%	11 Sept →
overpass	16–13	0.04	19%	27 Aug →
inferno	13–2	0.08	17%	27 Aug →
anubis	6–13	-0.02	28%	26 Aug →
inferno	12–12	-0.00	13%	26 Aug →
overpass	13–7	0.06	26%	24 Aug →
ancient	13–10	-0.02	24%	24 Aug →
dust2	13–9	-0.01	23%	24 Aug →
overpass	4–13	0.02	22%	23 Aug →
inferno	13–6	0.04	11%	23 Aug →
ancient	13–4	0.06	21%	23 Aug →
inferno	10–13	0.05	26%	23 Aug →
anubis	13–6	0.08	21%	13 Aug →
nuke	12–12	0.07	27%	13 Aug →
overpass	13–1	0.12	33%	13 Aug →
vertigo	12–12	0.10	18%	13 Aug →
agency	7–13	-0.07	21%	13 Aug →
inferno	13–11	0.00	17%	8 Aug →
inferno	2–13	0.01	24%	8 Aug →
overpass	13–6	0.01	18%	30 Jul →
ancient	13–10	0.06	23%	24 Jul →
mirage	13–6	0.18	29%	24 Jul →
dust2	6–13	0.05	14%	23 Jul →
dust2	13–6	0.09	18%	23 Jul →
inferno	13–4	0.09	4%	23 Jul →
dust2	13–5	0.01	22%	22 Jul →
dust2	13–6	-0.04	30%	22 Jul →
nuke	10–13	-0.01	20%	22 Jul →
overpass	13–8	0.06	13%	22 Jul →
dust2	4–13	-0.01	26%	18 Jul →
mirage	15–15	0.05	27%	18 Jul →
dust2	13–8	0.03	30%	17 Jul →
overpass	13–8	-0.01	20%	17 Jul →
inferno	11–13	0.01	20%	16 Jul →
nuke	6–13	0.08	38%	12 Jul →
mirage	0–3	-0.02	50%	10 Jul →
anubis	13–7	-0.01	14%	10 Jul →
train	13–9	-0.06	34%	9 Jul →
inferno	6–13	-0.01	21%	9 Jul →
ancient	10–13	0.01	20%	9 Jul →
inferno	13–8	-0.01	24%	30 Jun →
inferno	13–7	0.07	23%	30 Jun →
anubis	13–7	0.06	15%	30 Jun →
nuke	13–9	-0.01	28%	24 Jun →
mirage	13–7	0.01	34%	23 Jun →
inferno	8–13	0.01	24%	23 Jun →
inferno	11–13	-0.00	29%	17 Jun →
inferno	3–13	-0.07	37%	5 Jun →
nuke	13–0	0.09	45%	5 Jun →
train	13–7	0.05	34%	4 Jun →
inferno	4–13	0.05	33%	4 Jun →
mirage	13–9	-0.03	30%	21 May →
anubis	13–3	-0.04	14%	21 May →
grail	13–9	0.00	13%	8 May →
ancient	9–13	-0.05	20%	30 Apr →
dust2	15–15	-0.10	43%	30 Apr →
dust2	0–2	-0.01	100%	29 Apr →
inferno	5–13	0.01	50%	29 Apr →
dust2	13–9	-0.08	38%	29 Apr →
mirage	4–13	-0.14	50%	29 Apr →
inferno	11–13	-0.01	46%	29 Apr →
nuke	2–3	-0.04	50%	29 Apr →
dust2	6–13	0.01	39%	27 Apr →
mirage	0–3	-0.04	50%	24 Apr →
nuke	16–12	0.04	17%	24 Apr →
train	7–13	-0.08	29%	24 Apr →
dust2	13–9	-0.02	32%	23 Apr →
inferno	13–11	0.03	18%	18 Apr →
inferno	13–4	0.05	17%	18 Apr →
inferno	11–13	-0.07	14%	12 Apr →
anubis	13–3	-0.01	16%	12 Apr →
anubis	13–5	0.06	17%	12 Apr →
inferno	13–3	-0.02	9%	12 Apr →
inferno	11–13	0.00	22%	11 Apr →
ancient	13–4	0.04	17%	11 Apr →
dust2	8–13	-0.06	19%	7 Apr →
dust2	7–13	0.04	32%	6 Apr →