clap — CS2 Stats

US76561198385493789[U:1:425228061]Steam profile ↗✓ No bans

3,630Tracked matches52%Win rate2020Tracked since

4,860Hours in CS5Hrs last 2 wks

CSDB Rating5.8 SolidPassive Rifler

Premier CS Rating23,522Top 50% of 17,162 CSDB-tracked playersPink band · top ~4.6% of ranked players (population est.)

CSDB Leaderboard#5547 of 25350 tracked

FaceitLevel 9 · 1,947 ELOTop 20.7% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

Rating over time

23,522Peak Premier on CSDB

1,947Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 1,947
Next: Level 10 at 2,001 — 54 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6
Level 9 first seen 2026-08-28
Level 8 first seen 2026-08-28

Premier CS Rating

At peak — 23,522
Next: Red band at 25,000 — 1,478 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-28
Purple band first seen 2026-08-28

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 9 among CSDB-tracked players (n=1,109), 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 9 median	Level 10 median	vs Level 10
Headshot rate	44.8%	49.0%	52.0%	7.2% short
Shot accuracy	10.4%	13.1%	13.7%	3.2% short
Kill/death ratio	0.95	1.08	1.08	0.13 short
Match win rate	42.2%	46.9%	48.8%	6.6% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Shot accuracy. 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

Aim76

Positioning50

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY47–45–8Last 10047%Win rateLTWWWLLWLL

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim7.6

Aggression3.6

Utility5.1

Positioning5.0

Opening Duels0.9

Clutch3.6

Strong 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 NiKo 87% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

T-side openings. Opening success drops from 49% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 556ms 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

Aim7.6

Positioning5.0

Utility5.1

Mechanics5.6

Opening Duels2.4

Win Impact5.6

Composite 5.8/10 (Solid), 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 rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time539ms−52ms

first ⅓ avg 591ms → last ⅓ avg 539ms

Headshot accuracy15.1%−2.2%

first ⅓ avg 17.3% → last ⅓ avg 15.1%

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

0.20Best rating — inferno 13–6

13–0Biggest win — mirage

5Longest win streak

9–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 63% over 8dust2Weakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	21	12–9	57%	0.01
mirage	C	20	8–12	40%	0.02
inferno	B	19	9–10	47%	0.02
dust2	C	14	5–9	36%	0.00
ancient	A	8	5–3	63%	-0.01
anubis	A	7	4–3	57%	0.02
nuke	—	4	2–2	50%	0.05
train	—	3	0–3	0%	0.04
office	—	3	2–1	67%	0.05
overpass	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

144,878Lifetime kills

0.95K/D

7,456Matches

42.2%Match win rate

44.8%Headshot %

10.4%Shot accuracy

16,106MVPs

4,035Hours (in match)

6,377Bombs planted

1,690Bombs defused

Most-used weapons

AK-4761,019

AWP23,858

M4A4 / M4A1-S21,323

Desert Eagle8,304

P2000 / USP-S7,325

Glock-185,510

MP93,219

P2502,800

UMP-451,874

Galil AR1,769

Lifetime map wins

10,595inferno

6,260dust2

3,320train

3,177nuke

1,900vertigo

1,300cbble

174lake

143office

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

Faceit stats

Combat

313Matches

56%Win rate

1.13Avg K/D

78.4ADR

46%Headshot %

Clutches & streaks

38%1v1 clutch win

16%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	90	50%	1.16	17.1
Inferno	65	63%	1.23	15.8
Anubis	53	55%	1.12	14.6
Ancient	50	62%	1.06	15.2
Overpass	20	60%	1.08	15.4
Dust2	14	50%	0.87	13.5
Vertigo	11	36%	0.94	14.9
Nuke	8	62%	1.21	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.

15.2%Headshot accuracy

41.9%Accuracy (enemy spotted)

46.8%Spray accuracy

75.2%Counter-strafing

12.0°Preaim

556msReaction time

17.7%T opening success

49.5%CT opening success

0.51Enemies flashed / flash

4.9%Flash assists

4.49HE damage / grenade

9.54Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.0371° — above the 12° mark we flag
Aim Training →

Spend your practice time on Dust 2

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 14 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	11–13	-0.02	7%	28 Aug →
cache	12–12	0.15	27%	28 Aug →
mirage	13–4	0.01	24%	28 Aug →
inferno	13–6	-0.01	10%	28 Aug →
inferno	9–3	0.05	17%	27 Aug →
ancient	0–10	0.00	0%	10 Aug →
mirage	3–13	-0.02	13%	8 Aug →
inferno	13–6	0.20	15%	8 Aug →
dust2	9–13	0.08	24%	8 Aug →
cache	9–13	-0.00	16%	1 Aug →
inferno	8–13	0.10	23%	1 Aug →
ancient	7–13	-0.04	8%	31 Jul →
inferno	13–4	0.03	10%	27 Jul →
ancient	9–13	-0.06	15%	27 Jul →
anubis	14–16	0.03	20%	26 Jul →
anubis	10–13	0.04	10%	22 Jul →
inferno	13–7	0.03	27%	22 Jul →
cache	16–14	0.02	19%	22 Jul →
dust2	12–16	-0.02	22%	21 Jul →
inferno	13–8	-0.02	17%	20 Jul →
dust2	6–13	-0.05	14%	20 Jul →
cache	13–10	-0.02	15%	19 Jul →
inferno	13–5	-0.07	8%	19 Jul →
cache	2–13	-0.05	15%	19 Jul →
dust2	13–11	0.04	15%	19 Jul →
anubis	13–11	0.05	22%	19 Jul →
dust2	7–13	-0.09	9%	19 Jul →
cache	13–6	0.01	16%	18 Jul →
anubis	13–9	0.04	8%	18 Jul →
ancient	16–12	-0.02	6%	18 Jul →
mirage	13–8	0.01	0%	18 Jul →
ancient	13–4	0.03	21%	18 Jul →
dust2	11–13	-0.01	26%	18 Jul →
mirage	1–13	-0.02	5%	18 Jul →
inferno	15–15	0.05	13%	18 Jul →
mirage	6–13	0.02	18%	18 Jul →
cache	13–10	0.04	22%	18 Jul →
mirage	13–8	0.08	19%	18 Jul →
cache	10–13	0.01	13%	17 Jul →
dust2	15–15	0.01	16%	17 Jul →
dust2	13–8	0.01	27%	17 Jul →
mirage	13–0	0.13	13%	17 Jul →
inferno	13–11	0.05	21%	17 Jul →
cache	15–15	-0.01	24%	17 Jul →
dust2	7–13	0.00	13%	17 Jul →
inferno	0–13	-0.09	0%	17 Jul →
anubis	13–7	-0.03	14%	17 Jul →
cache	5–13	-0.05	14%	17 Jul →
cache	13–4	-0.00	14%	17 Jul →
mirage	13–0	-0.03	5%	16 Jul →
cache	0–13	-0.04	0%	16 Jul →
cache	16–14	-0.03	15%	16 Jul →
mirage	5–13	-0.05	20%	16 Jul →
anubis	9–13	-0.03	6%	13 Jul →
dust2	13–16	-0.05	13%	13 Jul →
mirage	8–13	-0.04	7%	13 Jul →
anubis	13–11	0.04	10%	13 Jul →
mirage	7–13	-0.00	8%	13 Jul →
mirage	8–13	-0.06	12%	13 Jul →
dust2	13–8	0.07	23%	13 Jul →
train	10–13	0.07	15%	13 Jul →
dust2	13–9	0.01	17%	12 Jul →
mirage	13–8	0.04	14%	12 Jul →
inferno	4–13	-0.09	22%	12 Jul →
mirage	10–13	0.08	21%	12 Jul →
dust2	11–13	-0.04	22%	11 Jul →
cache	13–11	0.10	24%	11 Jul →
inferno	11–13	-0.01	14%	11 Jul →
cache	13–10	-0.01	33%	11 Jul →
ancient	13–10	0.01	20%	11 Jul →
cache	13–9	0.08	15%	11 Jul →
mirage	13–2	0.05	24%	10 Jul →
inferno	11–13	-0.04	13%	6 Jul →
mirage	13–4	0.04	14%	6 Jul →
inferno	5–13	0.01	11%	6 Jul →
mirage	12–12	-0.03	20%	5 Jul →
inferno	4–13	-0.00	12%	4 Jul →
nuke	9–13	0.03	27%	4 Jul →
cache	12–12	-0.02	17%	4 Jul →
mirage	9–13	0.03	26%	4 Jul →
mirage	5–13	0.09	18%	3 Jul →
cache	13–10	0.06	10%	3 Jul →
train	5–13	-0.01	4%	3 Jul →
office	13–11	0.06	17%	30 Jun →
nuke	13–6	0.15	20%	30 Jun →
mirage	10–13	0.03	17%	30 Jun →
office	12–12	-0.00	19%	29 Jun →
dust2	13–8	0.08	14%	27 Jun →
ancient	13–11	0.02	12%	27 Jun →
ancient	13–9	-0.01	11%	26 Jun →
inferno	13–9	0.10	25%	26 Jun →
inferno	12–12	0.05	29%	24 Jun →
cache	13–9	0.06	17%	22 Jun →
inferno	9–13	0.05	14%	21 Jun →
nuke	13–3	0.05	8%	19 Jun →
train	6–13	0.08	7%	19 Jun →
cache	13–10	0.01	22%	19 Jun →
office	13–10	0.08	33%	18 Jun →
overpass	4–13	0.01	18%	16 Jun →
cache	10–13	0.03	13%	16 Jun →