Hangman — CS2 Stats

US76561198151460619[U:1:191194891]Steam profile ↗

2,185Tracked matches52%Win rate2020Tracked since

4,028Hours in CS13Hrs last 2 wks

CSDB Rating7.1 StrongAggressive Rifler

Premier CS Rating26,801Top 25% of 819 CSDB-tracked playersRed band · top ~2.1% of ranked players (population est.)

CSDB Leaderboard#1060 of 18190 tracked

FaceitLevel 9 · 2,113 ELOTop 20.7% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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	Level 10 median	vs Level 10
Headshot rate	46.4%	52.8%	6.4% short
Shot accuracy	12.1%	13.7%	1.6% short
Kill/death ratio	1.12	1.08	above
Match win rate	44.5%	49.2%	4.7% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim86

Positioning64

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY55–43–2Last 10055%Win rateWLLLLLWWLW

Last 10 vs previous 10: -40pp win rate · -0.04 avg rating

Player DNA

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

Aim8.6

Aggression7.4

Utility6.5

Positioning6.4

Opening Duels3.5

Clutch4.2

Sharp aimer

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 95% playstyle similarity

Most alike: opening-duel success, positioning 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

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

Aim8.6

Positioning6.4

Utility6.5

Mechanics7.0

Opening Duels3.5

Win Impact5.6

Composite 7.1/10 (Strong), 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 rating0.04+0.03

first ⅓ avg 0.01 → last ⅓ avg 0.04

Reaction time543ms−8ms

first ⅓ avg 551ms → last ⅓ avg 543ms

Headshot accuracy23.0%+2.8%

first ⅓ avg 20.2% → last ⅓ avg 23.0%

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

0.28Best rating — ancient 13–5

13–0Biggest win — anubis

5Longest win streak

8–10In matches decided by ≤2 rounds

9Overtime games

Map breakdown

anubisBest map · 69% over 16infernoWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	28	18–10	64%	0.03
mirage	B	27	14–13	52%	0.02
anubis	S	16	11–5	69%	0.03
inferno	C	13	5–8	38%	-0.00
cache	B	6	3–3	50%	0.05
dust2	C	5	2–3	40%	-0.02
overpass	—	4	2–2	50%	0.02
nuke	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

95,408Lifetime kills

1.12K/D · Top 50% of tracked players

4,645Matches

44.5%Match win rate

46.4%Headshot % · Top 50% of tracked players

12.1%Shot accuracy

10,130MVPs

3,128Hours (in match)

5,841Bombs planted

2,045Bombs defused

Most-used weapons

AK-4736,670

M4A4 / M4A1-S14,882

AWP9,766

P2000 / USP-S4,293

Glock-182,882

Desert Eagle2,578

MP92,201

P901,786

Galil AR1,711

Five-SeveN1,637

Lifetime map wins

8,056inferno

3,941dust2

2,940vertigo

2,662nuke

850train

678office

670cbble

266italy

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

Faceit stats

Combat

1,220Matches

52%Win rate

1.12Avg K/D

79.0ADR

45%Headshot %

Clutches & streaks

41%1v1 clutch win

20%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	214	61%	1.20	15.8
Mirage	160	44%	1.10	15.3
Anubis	124	50%	1.14	16.9
Inferno	94	46%	1.04	14.8
Nuke	79	47%	1.19	15.7
Vertigo	70	51%	1.24	17.4
Overpass	28	57%	1.18	14.9
Dust2	24	21%	0.78	11.3

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.

22.9%Headshot accuracy

37.0%Accuracy (enemy spotted)

44.7%Spray accuracy

81.3%Counter-strafing

9.6°Preaim

541msReaction time

41.7%T opening success

46.3%CT opening success

0.60Enemies flashed / flash

5.4%Flash assists

10.39HE damage / grenade

9.94Flashes / match

Recommended for you

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.

38% win rate across 13 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
anubis	16–14	0.03	19%	18 Aug →
anubis	9–13	0.07	8%	17 Aug →
inferno	4–13	-0.03	45%	17 Aug →
mirage	9–13	0.05	24%	17 Aug →
mirage	11–13	-0.07	24%	17 Aug →
inferno	13–16	0.01	25%	14 Aug →
anubis	16–14	0.03	23%	11 Aug →
inferno	13–10	0.01	24%	7 Aug →
anubis	12–16	-0.02	28%	3 Aug →
mirage	13–7	0.06	31%	3 Aug →
ancient	13–7	0.04	33%	3 Aug →
cache	13–10	0.02	29%	28 Jul →
anubis	13–6	0.06	21%	28 Jul →
ancient	11–13	-0.04	11%	18 Jul →
anubis	10–13	0.08	22%	18 Jul →
mirage	13–6	0.11	24%	18 Jul →
ancient	13–8	0.12	25%	18 Jul →
mirage	13–4	0.01	15%	17 Jul →
anubis	13–5	0.05	21%	15 Jul →
ancient	13–8	0.03	16%	12 Jul →
ancient	8–13	-0.10	15%	20 Jun →
ancient	15–15	0.05	31%	20 Jun →
inferno	13–6	0.09	17%	19 Jun →
ancient	13–10	0.05	22%	19 Jun →
ancient	13–5	0.28	30%	28 May →
dust2	6–13	-0.00	14%	28 May →
cache	7–13	0.10	38%	28 May →
mirage	10–13	0.04	17%	28 May →
nuke	11–13	0.03	18%	21 May →
mirage	1–13	-0.05	15%	21 May →
mirage	13–4	0.10	22%	19 May →
overpass	13–11	-0.03	15%	11 May →
cache	13–9	0.09	37%	30 Apr →
cache	7–13	0.03	20%	30 Apr →
ancient	16–12	0.03	19%	29 Apr →
cache	11–13	0.00	31%	28 Apr →
cache	13–1	0.07	33%	28 Apr →
anubis	13–8	0.11	23%	25 Apr →
anubis	13–11	0.03	10%	24 Apr →
inferno	11–13	0.00	21%	22 Apr →
anubis	13–6	0.05	23%	20 Apr →
mirage	13–8	0.08	29%	20 Apr →
mirage	13–4	0.16	33%	20 Apr →
mirage	12–12	0.07	16%	20 Apr →
mirage	0–13	0.01	17%	20 Apr →
mirage	2–13	-0.09	12%	16 Apr →
mirage	13–10	-0.02	19%	16 Apr →
anubis	16–12	0.00	24%	13 Apr →
ancient	13–11	0.06	30%	12 Apr →
overpass	9–13	0.04	15%	12 Apr →
dust2	5–13	-0.10	32%	12 Apr →
ancient	13–6	-0.00	32%	12 Apr →
mirage	13–9	0.01	13%	12 Apr →
mirage	13–11	0.04	16%	11 Apr →
anubis	13–6	-0.00	14%	7 Apr →
ancient	13–8	0.06	22%	7 Apr →
anubis	11–13	-0.05	28%	6 Apr →
mirage	10–13	-0.02	20%	6 Apr →
ancient	14–16	-0.00	26%	6 Apr →
ancient	13–11	0.05	21%	3 Apr →
mirage	13–10	-0.02	17%	31 Mar →
mirage	9–13	-0.01	14%	25 Mar →
anubis	8–13	-0.02	14%	25 Mar →
ancient	11–13	0.02	13%	23 Mar →
mirage	13–4	0.05	13%	23 Mar →
dust2	13–4	-0.06	18%	21 Mar →
mirage	8–13	-0.07	13%	20 Mar →
inferno	11–13	-0.01	11%	18 Mar →
ancient	13–4	0.00	19%	18 Mar →
ancient	10–13	0.06	23%	16 Mar →
overpass	13–6	0.03	19%	13 Mar →
dust2	8–1	0.11	36%	13 Mar →
ancient	13–4	0.07	18%	13 Mar →
anubis	13–8	-0.01	20%	13 Mar →
inferno	5–13	-0.01	32%	12 Mar →
mirage	11–13	0.00	18%	12 Mar →
mirage	13–2	0.07	30%	27 Feb →
ancient	13–10	-0.01	19%	27 Feb →
ancient	13–8	0.10	16%	26 Feb →
inferno	0–13	-0.05	24%	26 Feb →
ancient	8–13	0.00	15%	16 Feb →
inferno	5–13	-0.04	17%	11 Feb →
ancient	13–4	-0.00	26%	9 Feb →
ancient	10–13	-0.08	26%	6 Feb →
overpass	9–13	0.04	27%	4 Feb →
inferno	13–8	0.06	10%	28 Jan →
ancient	8–13	-0.05	30%	28 Jan →
anubis	13–0	0.01	18%	28 Jan →
mirage	4–13	-0.07	28%	27 Jan →
mirage	13–6	0.04	14%	27 Jan →
inferno	13–10	-0.05	10%	21 Jan →
dust2	12–16	-0.04	25%	9 Jan →
mirage	7–13	-0.06	20%	7 Jan →
mirage	13–4	0.06	21%	19 Nov →
inferno	13–11	0.02	15%	18 Nov →
ancient	13–5	0.04	21%	14 Nov →
ancient	13–8	0.06	15%	12 Nov →
ancient	13–7	-0.01	20%	12 Nov →
ancient	9–13	0.00	11%	8 Nov →
inferno	7–13	-0.02	14%	7 Nov →