CheekClapper67 — CS2 Stats

US76561197961958968[U:1:1693240]Steam profile ↗✓ No bans

738Tracked matches41%Win rate2020Tracked since

1,940Hours in CS

CSDB Rating6.4 SolidAggressive Rifler

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim77

Positioning69

Utility68

0–100 skill scores via Leetify.

Recent form

COLD49–47–4Last 10049%Win rateLLLLLWLLWL

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

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

Aim7.7

Aggression10.0

Utility6.8

Positioning6.9

Opening Duels5.1

Clutch3.8

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 sh1ro 94% playstyle similarity

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

Where you differ: 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. 568ms 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

Aim7.7

Positioning6.9

Utility6.8

Mechanics6.7

Opening Duels5.1

Win Impact2.1

Composite 6.4/10 (Solid), 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 rating0.00+0.00

first ⅓ avg -0.00 → last ⅓ avg 0.00

Reaction time579ms−55ms

first ⅓ avg 634ms → last ⅓ avg 579ms

Headshot accuracy17.1%+0.3%

first ⅓ avg 16.8% → last ⅓ avg 17.1%

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.

Highlights

0.14Best rating — dust2 13–3

13–2Biggest win — mirage

6Longest win streak

L5Current streak

7–8In matches decided by ≤2 rounds

14Overtime games

Map breakdown

dust2Best map · 75% over 28infernoWeakest map · 30% over 23

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	28	21–7	75%	0.02
inferno	D	23	7–16	30%	-0.01
mirage	D	18	6–12	33%	-0.00
cache	C	9	4–5	44%	0.02
nuke	C	7	3–4	43%	-0.02
ancient	S	7	5–2	71%	0.01
anubis	—	4	1–3	25%	-0.01
overpass	—	3	1–2	33%	0.02
fachwerk	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 23). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

91,947Lifetime kills

1.02K/D

2,444Matches

47.8%Match win rate · Top 50% of tracked players

42.6%Headshot %

18.0%Shot accuracy · Top 10% of tracked players

5,667MVPs

1,940Hours (in match)

4,493Bombs planted

1,037Bombs defused

Most-used weapons

AK-4727,212

AWP15,190

M4A4 / M4A1-S13,193

Desert Eagle6,227

P2000 / USP-S5,773

SSG 083,571

P2503,004

Glock-182,590

Knife1,719

Galil AR1,693

Lifetime map wins

12,940dust2

5,176inferno

1,431train

1,256cbble

1,155nuke

255vertigo

56dust

13aztec

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

Faceit stats

Combat

185Matches

51%Win rate

1.21Avg K/D

78.3ADR

40%Headshot %

Clutches & streaks

39%1v1 clutch win

15%1v2 clutch win

11Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	41	59%	1.03	14.7
Inferno	24	46%	1.12	15.3
Dust2	21	62%	1.08	15.5
Cache	17	53%	1.17	14.9
Ancient	12	42%	0.79	15.5
Anubis	11	27%	0.96	16.6
Nuke	8	38%	0.87	12.4
Overpass	1	100%	1.09	12.0

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.

16.3%Headshot accuracy

38.8%Accuracy (enemy spotted)

38.3%Spray accuracy

80.4%Counter-strafing

9.4°Preaim

568msReaction time

43.7%T opening success

56.7%CT opening success

0.61Enemies flashed / flash

6.9%Flash assists

11.10HE damage / grenade

15.08Flashes / 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.

30% win rate across 23 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
mirage	3–13	-0.01	23%	28 Aug →
inferno	12–16	-0.03	10%	26 Aug →
inferno	14–16	-0.01	14%	26 Aug →
inferno	13–16	-0.03	19%	25 Aug →
nuke	10–13	-0.06	5%	23 Aug →
dust2	13–7	0.00	38%	21 Aug →
dust2	5–13	0.06	16%	20 Aug →
dust2	10–13	-0.00	21%	19 Aug →
mirage	13–10	0.01	21%	19 Aug →
dust2	1–13	-0.11	29%	18 Aug →
ancient	19–16	0.01	8%	18 Aug →
inferno	9–13	-0.03	12%	17 Aug →
dust2	13–11	0.01	21%	16 Aug →
cache	9–13	-0.02	14%	16 Aug →
dust2	4–13	-0.01	9%	15 Aug →
dust2	13–3	0.14	28%	15 Aug →
inferno	13–7	0.02	11%	13 Aug →
anubis	10–13	-0.08	12%	13 Aug →
dust2	13–10	0.04	17%	12 Aug →
inferno	5–13	-0.03	20%	6 Aug →
dust2	8–13	-0.07	19%	5 Aug →
inferno	2–13	-0.04	11%	3 Aug →
cache	7–13	0.08	22%	3 Aug →
dust2	13–7	-0.01	14%	2 Aug →
cache	12–12	-0.03	8%	1 Aug →
dust2	13–10	0.01	19%	1 Aug →
dust2	13–9	0.04	26%	1 Aug →
dust2	13–9	0.09	9%	31 Jul →
ancient	14–16	0.05	12%	30 Jul →
mirage	13–2	0.07	21%	30 Jul →
cache	3–13	-0.01	20%	29 Jul →
inferno	11–13	-0.03	16%	28 Jul →
dust2	13–8	0.01	22%	28 Jul →
dust2	16–14	0.02	21%	27 Jul →
dust2	13–6	0.02	21%	27 Jul →
fachwerk	13–6	0.06	22%	27 Jul →
mirage	16–14	-0.01	10%	26 Jul →
anubis	10–13	0.00	13%	26 Jul →
inferno	13–10	0.04	23%	23 Jul →
mirage	12–16	-0.02	11%	23 Jul →
inferno	10–13	-0.06	8%	23 Jul →
dust2	13–4	0.07	17%	23 Jul →
cache	13–11	0.06	14%	22 Jul →
dust2	13–5	0.03	25%	22 Jul →
anubis	11–13	0.03	20%	21 Jul →
dust2	13–10	-0.02	14%	20 Jul →
ancient	13–8	-0.02	10%	20 Jul →
ancient	13–10	0.04	16%	20 Jul →
mirage	12–12	0.02	21%	20 Jul →
inferno	5–13	-0.05	18%	19 Jul →
anubis	13–6	0.03	8%	19 Jul →
cache	13–6	0.01	14%	19 Jul →
inferno	9–13	-0.01	24%	17 Jul →
mirage	13–7	0.01	21%	16 Jul →
inferno	10–13	-0.03	15%	16 Jul →
dust2	10–13	0.06	25%	14 Jul →
dust2	12–12	-0.05	32%	14 Jul →
dust2	13–8	0.01	33%	13 Jul →
mirage	13–3	0.01	17%	13 Jul →
nuke	13–11	0.01	24%	11 Jul →
cache	13–6	0.05	23%	10 Jul →
inferno	13–8	0.01	29%	9 Jul →
cache	13–3	0.04	19%	9 Jul →
cache	7–13	-0.03	18%	7 Jul →
inferno	13–10	0.06	20%	7 Jul →
inferno	13–8	0.03	13%	5 Jul →
dust2	13–4	0.03	17%	5 Jul →
inferno	13–6	0.08	12%	4 Jul →
mirage	11–13	-0.05	24%	2 Jul →
nuke	13–5	0.00	16%	2 Jul →
mirage	13–11	-0.08	23%	1 Jul →
mirage	9–13	-0.02	24%	1 Jul →
inferno	4–13	-0.01	28%	30 Jun →
ancient	16–14	0.04	14%	30 Jun →
mirage	14–16	-0.01	27%	30 Jun →
mirage	9–13	0.03	18%	29 Jun →
inferno	13–16	0.04	11%	29 Jun →
nuke	6–13	-0.06	14%	29 Jun →
nuke	13–6	0.01	17%	28 Jun →
inferno	6–13	0.02	12%	28 Jun →
overpass	10–13	0.04	31%	28 Jun →
dust2	13–6	-0.04	9%	27 Jun →
dust2	13–9	0.09	19%	27 Jun →
dust2	13–9	0.06	15%	27 Jun →
mirage	15–15	0.02	18%	26 Jun →
nuke	8–13	-0.03	11%	26 Jun →
dust2	13–5	-0.00	15%	26 Jun →
mirage	1–9	-0.07	0%	25 Jun →
overpass	9–13	0.02	24%	25 Jun →
mirage	11–13	-0.00	8%	25 Jun →
mirage	11–13	0.03	21%	25 Jun →
inferno	13–9	-0.04	27%	25 Jun →
mirage	7–13	-0.00	21%	24 Jun →
ancient	16–13	-0.03	13%	24 Jun →
dust2	13–10	-0.01	12%	24 Jun →
inferno	5–13	-0.08	20%	23 Jun →
inferno	6–13	-0.01	14%	22 Jun →
nuke	5–13	-0.04	17%	22 Jun →
ancient	6–13	-0.03	6%	22 Jun →
overpass	16–13	0.02	17%	22 Jun →