Clappy — CS2 Stats

76561198333538094[U:1:373272366]Steam profile ↗

1,157Tracked matches48%Win rate2020Tracked since

2,776Hours in CS10Hrs last 2 wks

CSDB Rating4.7 Developing

Ladder ranks via Leetify

Performance scores

Aim53

Positioning47

Utility53

0–100 skill scores via Leetify.

Recent form

COLD38–55–7Last 10038%Win rateLLLWLWTLLL

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

Aim5.3

Aggression6.2

Utility5.3

Positioning4.7

Opening Duels2.0

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 Twistzz 85% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower 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

Areas to improve

Reaction time. 567ms 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

Aim5.3

Positioning4.7

Utility5.3

Mechanics4.9

Opening Duels2.0

Win Impact4.4

Composite 4.7/10 (Developing), 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 rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time568ms−68ms

first ⅓ avg 636ms → last ⅓ avg 568ms

Headshot accuracy13.2%−2.4%

first ⅓ avg 15.6% → last ⅓ avg 13.2%

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

0.17Best rating — office 13–0

13–0Biggest win — office

3Longest win streak

L3Current streak

4–8In matches decided by ≤2 rounds

Map breakdown

officeBest map · 42% over 62cacheWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
office	C	62	26–36	42%	0.02
dust2	C	13	5–8	38%	0.02
cache	D	8	2–6	25%	0.00
train	D	6	2–4	33%	0.01
vertigo	C	5	2–3	40%	-0.03
mirage	—	3	1–2	33%	0.01
anubis	—	2	0–2	0%	0.00
nuke	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Lifetime stats

94,850Lifetime kills

1.36K/D · Top 10% of tracked players

5,832Matches

38.1%Match win rate

31.1%Headshot %

12.1%Shot accuracy

7,788MVPs

1,621Hours (in match)

2,622Bombs planted

365Bombs defused

Most-used weapons

M4A4 / M4A1-S11,697

AK-4710,397

AWP9,962

Negev6,644

P906,319

Galil AR3,878

MP73,710

P2000 / USP-S3,676

AUG3,207

XM10143,178

Lifetime map wins

18,791office

8,715dust2

988inferno

403nuke

354italy

264vertigo

236train

178ar_baggage

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.

13.6%Headshot accuracy

32.9%Accuracy (enemy spotted)

34.9%Spray accuracy

71.9%Counter-strafing

10.7°Preaim

567msReaction time

37.4%T opening success

38.4%CT opening success

0.44Enemies flashed / flash

2.3%Flash assists

9.11HE damage / grenade

9.46Flashes / 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 13.5662% — below the 15% mark we flag
Aim Training →
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 0.4391 — 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 37.3876% — below the 40% mark we flag

Spend your practice time on Cache

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
office	8–13	-0.03	11%	29 Aug →
office	1–8	0.04	8%	29 Aug →
cache	8–13	0.02	14%	26 Aug →
office	13–10	-0.01	13%	23 Aug →
office	6–13	-0.02	18%	23 Aug →
office	13–9	-0.02	16%	20 Aug →
office	12–12	0.06	15%	20 Aug →
train	10–13	0.04	18%	13 Aug →
train	10–13	-0.01	13%	12 Aug →
dust2	3–13	-0.00	14%	12 Aug →
office	12–12	-0.06	0%	9 Aug →
office	13–5	-0.00	4%	9 Aug →
office	11–13	-0.00	15%	9 Aug →
office	12–12	0.04	10%	22 Jul →
office	7–13	0.07	24%	21 Jul →
office	13–8	0.03	16%	18 Jul →
dust2	13–4	0.06	9%	17 Jul →
office	3–13	-0.05	7%	16 Jul →
office	13–0	0.17	15%	16 Jul →
office	9–13	0.06	21%	14 Jul →
office	13–5	0.04	11%	14 Jul →
office	13–2	-0.07	18%	14 Jul →
office	13–9	0.03	17%	13 Jul →
office	8–13	0.09	9%	2 Jul →
office	13–8	-0.03	16%	2 Jul →
office	13–8	0.06	15%	2 Jul →
office	9–8	0.03	14%	2 Jul →
office	9–12	-0.02	10%	1 Jul →
office	13–11	0.01	6%	29 Jun →
office	8–13	0.08	31%	29 Jun →
office	7–13	0.05	8%	29 Jun →
vertigo	7–13	-0.05	8%	6 Jun →
vertigo	12–12	0.04	15%	6 Jun →
dust2	6–13	-0.04	19%	6 Jun →
cache	4–13	0.05	22%	23 May →
office	10–12	-0.03	9%	21 May →
office	9–13	0.03	19%	17 May →
office	13–6	0.01	9%	17 May →
office	13–10	-0.03	19%	12 May →
cache	12–12	0.05	11%	11 May →
office	8–13	-0.02	19%	9 May →
cache	13–8	0.00	18%	6 May →
cache	4–13	-0.04	22%	6 May →
office	13–9	0.13	20%	4 May →
office	13–10	0.15	17%	4 May →
cache	9–13	-0.04	12%	3 May →
dust2	13–8	-0.01	22%	3 May →
cache	11–13	-0.02	15%	30 Apr →
office	11–13	0.00	9%	30 Apr →
office	10–13	-0.01	17%	29 Apr →
cache	13–9	0.00	17%	29 Apr →
dust2	8–13	0.01	13%	26 Apr →
dust2	13–4	0.05	16%	25 Apr →
train	13–5	0.05	5%	25 Apr →
office	11–13	0.08	20%	24 Apr →
office	13–11	0.02	10%	23 Apr →
office	4–13	-0.08	13%	23 Apr →
office	13–6	0.02	10%	23 Apr →
office	3–13	-0.03	13%	23 Apr →
train	13–1	-0.00	10%	23 Apr →
train	11–13	0.01	14%	22 Apr →
train	4–13	-0.04	20%	22 Apr →
mirage	13–4	0.04	10%	19 Apr →
vertigo	6–13	-0.03	19%	19 Apr →
office	12–12	0.07	6%	16 Apr →
office	13–9	0.05	16%	16 Apr →
office	13–8	0.06	15%	16 Apr →
office	6–13	0.04	21%	15 Apr →
vertigo	13–8	-0.04	18%	14 Apr →
vertigo	13–6	-0.08	3%	13 Apr →
nuke	10–13	0.04	19%	13 Apr →
office	4–13	-0.04	17%	9 Apr →
anubis	2–13	-0.00	18%	5 Apr →
anubis	5–13	0.01	18%	5 Apr →
office	13–6	0.08	14%	4 Apr →
office	13–9	0.03	12%	4 Apr →
dust2	7–13	0.06	16%	4 Apr →
office	4–13	-0.01	10%	3 Apr →
office	11–13	0.09	9%	1 Apr →
dust2	7–13	-0.01	19%	31 Mar →
dust2	13–4	0.06	15%	30 Mar →
dust2	7–13	0.03	19%	30 Mar →
mirage	0–13	-0.08	6%	30 Mar →
office	6–13	-0.03	16%	29 Mar →
office	7–13	0.00	26%	29 Mar →
office	6–13	0.10	16%	29 Mar →
mirage	9–13	0.06	22%	29 Mar →
dust2	8–13	0.04	22%	28 Mar →
dust2	13–11	0.13	20%	27 Mar →
office	13–5	0.04	10%	27 Mar →
office	6–13	-0.04	15%	26 Mar →
office	13–1	0.01	14%	26 Mar →
office	13–8	0.04	15%	23 Mar →
office	11–13	-0.01	31%	22 Mar →
office	12–12	0.01	9%	22 Mar →
office	8–13	0.12	14%	19 Mar →
office	13–10	0.04	9%	19 Mar →
office	7–13	0.01	15%	19 Mar →
office	5–13	0.02	15%	18 Mar →
dust2	9–13	-0.07	14%	17 Mar →