xclusive — CS2 Stats

SE76561198418422995[U:1:458157267]Steam profile ↗✓ No bans

593Tracked matches83%Win rate2025Tracked since

345Hours in CS

CSDB Rating5.8 SolidPassive Rifler

Premier CS Rating28,988Top 5% of 17,162 CSDB-tracked playersRed band · top ~1.1% of ranked players (population est.)

CSDB Leaderboard#291 of 32873 tracked

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Red band among CSDB-tracked players (n=1,873), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Red band median
Headshot rate	54.3%	49.9%
Shot accuracy	0.6%	13.4%
Kill/death ratio	1.44	1.12
Match win rate	58.3%	48.4%

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Performance scores

Aim94

Positioning39

Utility11

0–100 skill scores via Leetify.

Recent form

STEADY62–38Last 10062%Win rateWWWLWWLWWW

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim9.4

Aggression4.4

Utility1.1

Positioning3.9

Opening Duels0.6

Sharp aimerLimited utility dependence

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 NiKo 82% playstyle similarity

Most alike: aim profile, opening-fight frequency.

Where you differ: lower positioning profile; lower 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

Strengths

Aim. Aim score of 94 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 55 points — deaths here waste a strong aim profile.

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

Reaction time. 553ms 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

Aim9.4

Positioning3.9

Utility1.1

Mechanics4.9

Opening Duels0.6

Win Impact10.0

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg -0.00

Reaction time557ms+111ms

first ⅓ avg 446ms → last ⅓ avg 557ms

Headshot accuracy30.3%+1.9%

first ⅓ avg 28.3% → last ⅓ avg 30.3%

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

0.22Best rating — ancient 13–11

13–0Biggest win — dust2

17Longest win streak

W3Current streak

9–4In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 80% over 15infernoWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	34	21–13	62%	0.01
mirage	B	21	11–10	52%	-0.02
ancient	S	15	12–3	80%	0.05
inferno	D	12	4–8	33%	0.01
anubis	S	8	6–2	75%	0.02
nuke	—	4	3–1	75%	0.02
overpass	—	3	2–1	67%	0.00
vertigo	—	2	2–0	100%	-0.00
cache	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,453Lifetime kills

1.44K/D · Top 25% of Red band

977Matches

58.3%Match win rate · Top 10% of Red band

54.3%Headshot % · Top 50% of Red band

0.6%Shot accuracy

4,850MVPs

345Hours (in match)

366Bombs planted

1,337Bombs defused

Most-used weapons

AK-479,327

M4A4 / M4A1-S4,680

AWP4,178

Desert Eagle2,750

P2000 / USP-S1,468

Glock-181,042

MAC-10608

MP9521

SSG 08305

P250243

Lifetime map wins

2,641dust2

1,504nuke

1,249inferno

198train

183vertigo

26office

13italy

3ar_shoots

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.

34.0%Headshot accuracy

40.1%Accuracy (enemy spotted)

41.9%Spray accuracy

72.3%Counter-strafing

7.0°Preaim

553msReaction time

29.8%T opening success

35.2%CT opening success

0.29Enemies flashed / flash

2.9%Flash assists

8.92HE damage / grenade

0.48Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.292 — below the 0.5 mark we flag
Grenade Lineups →
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 29.8107% — below the 40% mark we flag

Spend your practice time on Inferno

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–8	0.10	70%	12 Aug →
dust2	13–8	0.06	27%	11 Aug →
ancient	13–5	0.02	21%	11 Aug →
mirage	10–13	-0.09	21%	4 Aug →
mirage	13–2	-0.04	27%	20 Jul →
cache	13–7	0.07	32%	20 Jul →
mirage	10–13	0.02	38%	14 Jul →
dust2	13–8	-0.06	50%	13 Jul →
dust2	13–0	0.04	18%	13 Jul →
mirage	2–0	0.00	0%	13 Jul →
dust2	13–2	-0.04	24%	13 Jul →
dust2	13–0	0.11	47%	13 Jul →
mirage	13–0	-0.04	7%	13 Jul →
anubis	13–9	0.04	27%	13 Jul →
nuke	6–2	-0.01	29%	13 Jul →
ancient	13–0	0.02	20%	13 Jul →
ancient	13–2	-0.05	25%	13 Jul →
dust2	13–0	-0.02	50%	13 Jul →
dust2	13–8	-0.01	100%	11 Jul →
mirage	13–0	0.00	0%	11 Jul →
nuke	13–0	-0.02	0%	11 Jul →
vertigo	16–13	0.02	38%	11 Jul →
dust2	13–0	-0.04	38%	10 Jul →
mirage	13–0	0.02	29%	10 Jul →
dust2	0–13	-0.08	20%	10 Jul →
anubis	13–8	-0.03	40%	10 Jul →
ancient	13–6	-0.04	40%	10 Jul →
dust2	11–13	0.02	38%	10 Jul →
anubis	13–11	0.05	23%	9 Jul →
dust2	7–13	-0.07	38%	9 Jul →
mirage	16–13	-0.01	17%	8 Jul →
inferno	16–12	0.06	35%	8 Jul →
inferno	11–13	-0.02	11%	8 Jul →
dust2	10–13	-0.02	13%	8 Jul →
dust2	13–8	0.01	32%	8 Jul →
dust2	12–16	-0.02	27%	7 Jul →
ancient	13–11	0.22	40%	2 Jul →
inferno	9–13	0.01	25%	30 Jun →
anubis	13–8	0.02	35%	29 Jun →
mirage	3–13	0.01	44%	29 Jun →
mirage	7–13	0.01	50%	27 Jun →
dust2	19–17	0.05	21%	27 Jun →
mirage	6–13	-0.02	31%	25 Jun →
inferno	6–13	-0.00	50%	23 Jun →
vertigo	13–7	-0.03	30%	23 Jun →
inferno	3–13	0.00	13%	18 Jun →
ancient	10–13	0.09	17%	18 Jun →
dust2	2–0	0.00	0%	11 Jun →
dust2	2–13	-0.06	40%	11 Jun →
ancient	13–10	0.04	16%	10 Jun →
dust2	13–10	0.03	38%	9 Jun →
mirage	4–13	-0.01	44%	9 Jun →
dust2	13–9	0.12	29%	9 Jun →
ancient	13–7	0.07	36%	9 Jun →
mirage	0–13	0.00	0%	8 Jun →
ancient	13–10	-0.06	22%	6 Jun →
dust2	7–13	0.00	24%	3 Jun →
dust2	16–14	0.08	29%	3 Jun →
mirage	13–8	-0.19	0%	3 Jun →
ancient	13–9	0.13	19%	3 Jun →
overpass	13–6	0.00	7%	1 Jun →
ancient	9–13	0.04	25%	1 Jun →
inferno	0–13	-0.01	36%	1 Jun →
dust2	16–13	0.07	36%	30 May →
mirage	13–4	0.04	26%	30 May →
dust2	7–13	-0.02	23%	30 May →
overpass	13–10	0.05	14%	29 May →
dust2	6–13	-0.02	20%	29 May →
inferno	9–2	0.17	36%	29 May →
inferno	2–9	-0.14	13%	29 May →
anubis	13–10	-0.04	26%	29 May →
dust2	10–13	-0.02	22%	27 May →
mirage	0–2	-0.22	0%	26 May →
anubis	0–3	0.00	0%	26 May →
dust2	4–3	-0.09	0%	22 May →
dust2	7–13	-0.06	26%	22 May →
overpass	0–13	-0.05	25%	22 May →
nuke	10–13	-0.06	18%	21 May →
inferno	8–13	-0.10	10%	6 May →
ancient	8–13	-0.03	50%	5 May →
dust2	2–13	0.05	57%	29 Apr →
inferno	3–13	-0.03	10%	29 Apr →
dust2	14–16	-0.08	23%	21 Apr →
mirage	5–13	-0.14	5%	21 Apr →
anubis	7–13	-0.11	20%	21 Apr →
dust2	16–12	0.04	32%	17 Apr →
dust2	13–0	0.10	20%	16 Apr →
mirage	13–1	0.17	60%	16 Apr →
ancient	13–0	0.07	100%	16 Apr →
mirage	13–7	0.08	33%	16 Apr →
mirage	13–0	0.04	27%	16 Apr →
ancient	13–0	0.00	50%	16 Apr →
mirage	7–13	0.01	22%	15 Apr →
nuke	13–11	0.17	28%	15 Apr →
inferno	13–11	0.11	34%	15 Apr →
ancient	13–7	0.20	27%	15 Apr →
inferno	13–8	0.11	25%	15 Apr →
dust2	13–3	0.11	13%	15 Apr →
dust2	13–7	0.15	71%	14 Apr →
anubis	13–6	0.19	30%	14 Apr →