Squeye :) — CS2 Stats

76561197972232750[U:1:11967022]Steam profile ↗✓ No bans

1,908Tracked matches53%Win rate2020Tracked since

2,127Hours in CS

CSDB Rating7.0 StrongSupport

CSDB Leaderboard#240569 of 260000 tracked

FaceitLevel 10 · 1,699 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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	36.8%	50.9%
Shot accuracy	9.4%	13.7%
Kill/death ratio	1.05	1.09
Match win rate	47.5%	48.4%

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Performance scores

Aim73

Positioning77

Utility84

0–100 skill scores via Leetify.

Recent form

STEADY55–45Last 10055%Win rateLWWWWLLLWL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +1.0pp headshot accuracy · −16ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating 0.02
Avg headshot accuracy 14%
Avg reaction 503ms

Last 10

5–5 · 50% win rate
Avg rating 0.01
Avg headshot accuracy 14%
Avg reaction 520ms

Last 20

9–11 · 45% win rate
Avg rating 0.02
Avg headshot accuracy 13%
Avg reaction 529ms

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 against its own average).

Aim7.3

Utility8.4

Positioning7.7

Opening Duels5.4

Clutch4.0

High utility contribution

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 jL 71% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: higher utility contribution; 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

Strengths

Utility. Utility score of 84 — grenade impact well above the norm.

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

Aim7.3

Positioning7.7

Utility8.4

Mechanics7.0

Opening Duels6.7

Win Impact6.1

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.03

first ⅓ avg 0.00 → last ⅓ avg 0.03

Reaction time537ms−7ms

first ⅓ avg 545ms → last ⅓ avg 537ms

Headshot accuracy13.1%−0.5%

first ⅓ avg 13.6% → last ⅓ avg 13.1%

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

0.17Best match rating · 13–4 · anubis, 2 Oct →

31%Best headshot accuracy · 13–11 · nuke, 24 Sept →

406msFastest reaction time · 10–13 · ancient, 13 Sept →

13–1Biggest win · ancient, 24 Sept →

Across the last 100 tracked matches.

Highlights

9Longest win streak

11–11In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 62% over 26anubisWeakest map · 50% over 28

Map	Grade	Played	Record	Win rate	Avg rating
anubis	B	28	14–14	50%	0.01
ancient	A	26	16–10	62%	0.02
cache	A	22	13–9	59%	0.03
nuke	A	20	12–8	60%	0.01
inferno	—	3	0–3	0%	-0.03
vertigo	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (50% over 28). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

87,043Lifetime kills

1.05K/D

4,398Matches

47.5%Match win rate

36.8%Headshot %

9.4%Shot accuracy

12,998MVPs

2,127Hours (in match)

6,129Bombs planted

1,597Bombs defused

Most-used weapons

AK-4736,556

M4A4 / M4A1-S21,126

P2503,990

P2000 / USP-S3,406

Glock-182,579

AWP2,534

P902,118

PP-Bizon1,510

Tec-91,445

Galil AR1,433

Lifetime map wins

14,568nuke

4,193dust2

4,148inferno

1,670vertigo

802train

80cbble

15office

14aztec

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

Faceit stats

Combat

513Matches

53%Win rate

1.15Avg K/D

91.8ADR

38%Headshot %

Clutches & streaks

40%1v1 clutch win

21%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	133	51%	1.15	18.2
Nuke	132	64%	1.24	17.8
Anubis	111	55%	1.16	17.6
Cache	50	52%	1.27	19.0
Vertigo	21	38%	0.90	14.8
Overpass	20	35%	1.02	15.3
Inferno	18	28%	0.91	14.6
Mirage	14	50%	1.00	16.4

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.

13.5%Headshot accuracy

36.0%Accuracy (enemy spotted)

41.4%Spray accuracy

81.6%Counter-strafing

10.5°Preaim

540msReaction time

58.9%T opening success

54.9%CT opening success

0.67Enemies flashed / flash

13.3%Flash assists

11.98HE damage / grenade

20.63Flashes / 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 13.5185% — below the 15% mark we flag
Aim Training →

Recent matches

Map	Score	Rating	HS%	Date
anubis	11–13	0.01	12%	3 Nov →
anubis	13–7	0.05	9%	2 Nov →
cache	13–7	0.07	24%	2 Nov →
anubis	13–11	0.00	13%	1 Nov →
ancient	13–8	-0.03	11%	1 Nov →
inferno	11–13	0.00	13%	31 Oct →
ancient	7–13	0.03	13%	31 Oct →
anubis	14–16	-0.05	12%	30 Oct →
cache	13–11	0.01	14%	28 Oct →
cache	10–13	0.04	19%	23 Oct →
ancient	13–7	0.08	10%	23 Oct →
ancient	11–13	-0.01	22%	21 Oct →
cache	14–16	0.03	16%	18 Oct →
anubis	7–13	-0.01	6%	18 Oct →
anubis	4–13	-0.03	16%	18 Oct →
nuke	11–13	-0.00	13%	18 Oct →
nuke	13–10	0.04	15%	4 Oct →
ancient	8–13	-0.01	6%	4 Oct →
cache	13–7	0.11	18%	4 Oct →
ancient	13–6	0.04	7%	4 Oct →
cache	13–8	0.12	23%	3 Oct →
nuke	13–7	0.02	26%	3 Oct →
ancient	13–7	0.02	15%	3 Oct →
nuke	16–14	0.03	15%	3 Oct →
anubis	13–16	0.03	11%	2 Oct →
ancient	8–13	-0.02	12%	2 Oct →
anubis	13–4	0.17	8%	2 Oct →
anubis	13–11	0.04	7%	30 Sept →
ancient	13–6	0.10	6%	30 Sept →
anubis	13–16	0.05	12%	29 Sept →
ancient	13–5	0.01	12%	29 Sept →
anubis	10–13	0.04	11%	29 Sept →
nuke	13–6	0.04	4%	29 Sept →
anubis	9–13	0.02	10%	29 Sept →
cache	7–13	-0.05	8%	28 Sept →
cache	13–6	0.03	10%	28 Sept →
anubis	7–13	-0.02	23%	27 Sept →
cache	13–11	0.03	18%	27 Sept →
anubis	13–7	-0.01	21%	27 Sept →
ancient	16–14	0.03	9%	27 Sept →
nuke	9–13	0.01	13%	24 Sept →
nuke	13–11	0.05	31%	24 Sept →
ancient	13–1	0.05	4%	24 Sept →
anubis	13–11	-0.02	10%	23 Sept →
cache	11–13	0.03	14%	23 Sept →
anubis	13–4	0.07	16%	23 Sept →
nuke	9–13	-0.03	12%	21 Sept →
cache	2–13	-0.00	22%	21 Sept →
nuke	13–9	0.03	18%	20 Sept →
nuke	10–13	-0.05	14%	19 Sept →
ancient	7–13	0.00	18%	19 Sept →
cache	13–6	-0.06	16%	19 Sept →
cache	3–13	0.00	18%	17 Sept →
ancient	9–13	-0.04	10%	17 Sept →
nuke	11–13	-0.04	11%	16 Sept →
anubis	13–7	0.05	25%	16 Sept →
cache	6–13	0.04	15%	16 Sept →
ancient	5–13	0.02	20%	14 Sept →
anubis	9–13	-0.02	14%	14 Sept →
ancient	13–10	0.05	7%	14 Sept →
anubis	13–3	0.03	12%	14 Sept →
ancient	13–9	-0.00	19%	13 Sept →
nuke	13–8	0.08	22%	13 Sept →
ancient	10–13	0.01	16%	13 Sept →
cache	13–3	0.09	26%	13 Sept →
cache	13–1	0.10	14%	13 Sept →
ancient	13–8	0.09	22%	13 Sept →
anubis	13–6	0.01	10%	13 Sept →
nuke	13–8	0.05	17%	12 Sept →
nuke	13–5	0.02	23%	12 Sept →
anubis	13–10	0.01	11%	11 Sept →
cache	13–7	0.00	23%	11 Sept →
nuke	13–7	0.07	18%	9 Sept →
anubis	8–13	-0.04	19%	9 Sept →
nuke	11–13	0.02	10%	8 Sept →
ancient	13–11	-0.01	11%	8 Sept →
ancient	13–9	-0.03	11%	8 Sept →
inferno	3–13	-0.08	13%	8 Sept →
nuke	13–5	0.01	8%	8 Sept →
anubis	13–7	-0.04	10%	7 Sept →
cache	7–13	-0.00	18%	7 Sept →
ancient	13–11	0.02	13%	7 Sept →
inferno	11–13	-0.00	18%	6 Sept →
nuke	13–9	0.05	10%	2 Sept →
anubis	22–19	0.04	16%	2 Sept →
ancient	19–17	0.05	7%	1 Sept →
cache	13–4	0.08	10%	1 Sept →
nuke	10–13	-0.04	8%	1 Sept →
cache	13–3	0.06	16%	1 Sept →
cache	13–4	0.06	13%	1 Sept →
nuke	2–13	-0.10	13%	1 Sept →
ancient	13–7	-0.01	14%	31 Aug →
anubis	11–13	0.01	13%	31 Aug →
ancient	8–13	0.03	15%	31 Aug →
vertigo	10–13	-0.08	11%	31 Aug →
anubis	13–9	0.06	13%	30 Aug →
cache	9–13	-0.05	13%	30 Aug →
anubis	2–13	-0.07	19%	30 Aug →
ancient	10–13	0.03	14%	29 Aug →
anubis	6–13	0.04	12%	29 Aug →