spoon — CS2 Stats

76561197962117425[U:1:1851697]

433Tracked matches59%Win rate2020Tracked since

2,391Hours in CS6Hrs last 2 wks

CSDB Rating7.3 StrongAggressive Rifler

Premier CS Rating23,776Top 25% of 29,473 CSDB-tracked playersPink band · top ~4.3% of ranked players (population est.)

CSDB Leaderboard#8381 of 46143 tracked

FaceitLevel 10 · 2,004 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

23,776Peak Premier on CSDB

2,004Peak Faceit ELO on CSDB

1Days observed since 2026-08-30

Faceit ELO

At peak — 2,004
Next: 2,500 ELO at 2,500 — 496 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-08-30
Level 9 first seen 2026-08-30

Premier CS Rating

At peak — 23,776
Next: Red band at 25,000 — 1,224 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-30
Purple band first seen 2026-08-30

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=4,917), 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
Headshot rate	46.4%	51.9%
Shot accuracy	19.5%	13.7%
Kill/death ratio	1.16	1.08
Match win rate	45.4%	48.7%

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Performance scores

Aim88

Positioning54

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY58–40–2Last 10058%Win rateLWLLWLWWWL

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

Player DNA

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

Aim8.8

Aggression8.3

Utility5.5

Positioning5.4

Opening Duels3.7

Clutch5.6

Sharp aimerExcellent counter-strafingStrong CT-side opener

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-duel success, 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 88 — the mechanical foundation is a clear strength.

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 34 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.

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. 570ms 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

Aim8.8

Positioning5.4

Utility5.5

Mechanics9.4

Opening Duels3.7

Win Impact7.9

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 rating0.02−0.03

first ⅓ avg 0.05 → last ⅓ avg 0.02

Reaction time563ms−66ms

first ⅓ avg 629ms → last ⅓ avg 563ms

Headshot accuracy20.3%+0.2%

first ⅓ avg 20.1% → last ⅓ avg 20.3%

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

0.40Best rating — cache 13–2

13–1Biggest win — inferno

6Longest win streak

11–5In matches decided by ≤2 rounds

6Overtime games

Map breakdown

infernoBest map · 76% over 21nukeWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	21	16–5	76%	0.04
dust2	C	19	8–11	42%	0.04
mirage	B	14	7–7	50%	0.03
overpass	S	13	9–4	69%	0.04
nuke	C	11	4–7	36%	-0.01
cache	A	10	6–4	60%	0.11
ancient	A	10	6–4	60%	0.02
train	—	2	2–0	100%	0.09

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

95,618Lifetime kills

1.16K/D · Top 50% of Level 10 players

2,712Matches

45.4%Match win rate

46.4%Headshot %

19.5%Shot accuracy · Top 10% of Level 10 players

7,613MVPs

1,819Hours (in match)

3,991Bombs planted

1,128Bombs defused

Most-used weapons

AK-4737,933

M4A4 / M4A1-S19,725

AWP11,404

P2000 / USP-S7,826

Desert Eagle2,943

Glock-182,219

P2501,936

Knife1,251

FAMAS1,166

UMP-451,159

Lifetime map wins

8,671inferno

4,561dust2

2,065nuke

1,800cbble

1,556train

398vertigo

54aztec

51office

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

Faceit stats

Combat

536Matches

51%Win rate

1.18Avg K/D

81.1ADR

40%Headshot %

Clutches & streaks

48%1v1 clutch win

29%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	26	58%	1.32	17.8
Inferno	19	47%	1.40	17.3
Ancient	17	53%	1.20	18.5
Dust2	17	53%	1.21	16.4
Anubis	12	42%	1.26	20.3
Overpass	9	44%	1.17	17.6
Nuke	9	78%	1.40	18.9
Vertigo	5	80%	1.09	18.8

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.

20.9%Headshot accuracy

39.1%Accuracy (enemy spotted)

39.5%Spray accuracy

92.1%Counter-strafing

9.3°Preaim

570msReaction time

33.9%T opening success

55.5%CT opening success

0.61Enemies flashed / flash

7.8%Flash assists

10.99HE damage / grenade

7.36Flashes / 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 33.8671% — 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.

36% win rate across 11 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
nuke	8–13	-0.05	10%	28 Aug →
inferno	13–11	0.01	12%	28 Aug →
dust2	3–13	-0.06	11%	28 Aug →
dust2	9–13	0.09	31%	23 Aug →
mirage	13–3	0.09	32%	23 Aug →
mirage	10–13	0.03	31%	23 Aug →
cache	13–8	-0.03	23%	21 Aug →
inferno	13–4	0.03	16%	21 Aug →
ancient	13–11	0.02	25%	9 Aug →
mirage	3–13	-0.05	24%	9 Aug →
dust2	13–6	0.02	26%	9 Aug →
nuke	5–13	-0.03	22%	3 Aug →
inferno	5–13	-0.00	22%	3 Aug →
cache	13–3	0.14	27%	3 Aug →
nuke	13–5	0.02	16%	2 Aug →
ancient	13–5	0.10	13%	2 Aug →
dust2	13–6	0.04	33%	2 Aug →
inferno	13–5	0.09	23%	23 Jul →
cache	8–13	0.08	31%	23 Jul →
inferno	15–15	0.00	20%	23 Jul →
mirage	8–13	-0.05	21%	22 Jul →
inferno	13–10	-0.00	22%	22 Jul →
inferno	13–8	0.02	19%	24 Jun →
mirage	13–8	0.11	20%	24 Jun →
nuke	14–16	-0.02	20%	23 Jun →
dust2	13–6	0.04	13%	23 Jun →
dust2	13–11	0.00	21%	23 Jun →
dust2	6–13	0.11	19%	17 Jun →
ancient	13–5	0.04	9%	17 Jun →
inferno	5–13	-0.02	13%	17 Jun →
inferno	13–11	0.03	18%	13 Jun →
nuke	11–13	-0.04	17%	13 Jun →
dust2	9–13	0.01	11%	11 Jun →
cache	10–13	0.04	13%	11 Jun →
inferno	13–9	0.07	26%	11 Jun →
dust2	8–13	-0.03	15%	6 Jun →
overpass	11–13	0.02	14%	6 Jun →
inferno	5–13	-0.00	34%	3 Jun →
overpass	13–7	0.08	16%	3 Jun →
mirage	13–11	0.12	19%	3 Jun →
dust2	8–13	0.04	16%	3 Jun →
inferno	16–12	0.05	17%	1 Jun →
ancient	13–8	0.03	15%	1 Jun →
mirage	3–0	0.06	50%	1 Jun →
cache	11–13	0.10	15%	31 May →
cache	2–13	-0.01	9%	31 May →
cache	13–2	0.40	20%	31 May →
mirage	14–16	0.07	22%	28 May →
dust2	3–13	-0.04	36%	28 May →
inferno	13–11	0.03	18%	28 May →
inferno	13–4	0.11	12%	26 May →
ancient	13–6	0.05	12%	26 May →
dust2	9–13	-0.02	18%	19 May →
nuke	8–13	-0.05	12%	19 May →
overpass	6–13	-0.00	11%	19 May →
cache	12–4	0.12	21%	17 May →
mirage	8–13	0.04	11%	17 May →
nuke	13–8	0.03	23%	15 May →
mirage	13–6	-0.07	5%	15 May →
ancient	6–13	-0.06	18%	15 May →
nuke	15–15	0.04	20%	8 May →
ancient	6–13	0.04	10%	8 May →
overpass	13–9	0.06	20%	8 May →
mirage	13–8	0.07	17%	8 May →
cache	13–2	0.14	18%	8 May →
cache	13–4	0.08	18%	8 May →
mirage	4–13	-0.09	12%	4 May →
inferno	13–1	0.09	10%	4 May →
nuke	13–11	0.02	24%	4 May →
dust2	8–13	-0.10	6%	3 May →
overpass	13–1	0.08	14%	3 May →
inferno	13–7	0.06	24%	3 May →
overpass	10–13	-0.01	21%	24 Apr →
dust2	13–4	0.19	27%	24 Apr →
nuke	13–1	0.05	23%	24 Apr →
dust2	13–4	0.09	16%	24 Apr →
mirage	6–13	-0.03	16%	18 Apr →
inferno	13–5	0.08	22%	18 Apr →
dust2	6–13	0.02	22%	18 Apr →
inferno	13–10	0.07	32%	24 Nov →
ancient	8–13	-0.02	30%	8 Nov →
overpass	13–11	0.01	27%	8 Nov →
train	13–6	0.06	17%	27 Oct →
overpass	16–14	0.06	19%	27 Oct →
ancient	13–10	0.06	15%	20 Oct →
inferno	13–8	0.08	27%	20 Oct →
overpass	5–13	0.05	21%	6 Oct →
inferno	8–13	0.01	14%	6 Oct →
ancient	3–13	-0.02	19%	27 Sept →
nuke	7–13	-0.09	6%	27 Sept →
dust2	13–4	0.06	18%	25 Sept →
mirage	13–1	0.10	14%	25 Sept →
train	13–8	0.11	24%	25 Sept →
overpass	13–4	0.12	19%	25 Sept →
dust2	13–3	0.24	22%	25 Sept →
overpass	13–11	-0.02	22%	18 Sept →
dust2	7–13	0.06	19%	17 Sept →
overpass	13–6	0.03	19%	17 Sept →
overpass	13–11	0.06	33%	16 Sept →
inferno	13–6	0.09	23%	16 Sept →