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󠁳⁧⁧ ⨁ Average Ø — CS2 Stats

76561198797829023[U:1:837563295]✓ No bans

3,224Tracked matches57%Win rate2020Tracked since
8,295Hours in CS46Hrs last 2 wks
CSDB Rating7.2 StrongAggressive Rifler
Premier CS Rating21,995Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.3% of ranked players (population est.)
CSDB Leaderboard#10046 of 34900 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=1,022), 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.

MetricThis playerLevel 7 medianLevel 8 medianvs Level 8
Headshot rate73.8%46.2%47.2%above
Shot accuracy11.8%12.5%12.3%0.5% short
Kill/death ratio1.301.061.07above
Match win rate69.4%45.9%46.3%above

This profile matches the typical Level 8 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG󠁳⁧⁧ ⨁ Average ØFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER21,995 · Pink bandcsdb.gg/stats

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Performance scores

Aim92
Positioning62
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY57–39–4Last 10057%Win rateWLLWLLLLWW

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

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

Aim9.2
Aggression10.0
Utility3.2
Positioning6.2
Opening Duels5.3

Sharp aimerExcellent counter-strafingLimited utility dependence

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

device

Plays most like device 89% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower 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 92 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 562ms 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

Aim9.2
Positioning6.2
Utility3.2
Mechanics8.8
Opening Duels5.3
Win Impact7.4

Composite 7.2/10 (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 rating0.02−0.04
first ⅓ avg 0.06 → last ⅓ avg 0.02
Reaction time575ms−11ms
first ⅓ avg 586ms → last ⅓ avg 575ms
Headshot accuracy32.9%−3.2%
first ⅓ avg 36.2% → last ⅓ avg 32.9%

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

0.22Best rating — shelter 13–3
13–0Biggest win — office
9Longest win streak
6–5In matches decided by ≤2 rounds

Map breakdown

shelterBest map · 72% over 43cacheWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
shelterS4331–1272%0.07
boulderB199–1047%0.03
italyA106–460%0.06
cacheD61–517%-0.02
trainC52–340%0.02
debris—41–325%-0.03
inferno—42–250%-0.00
office—43–175%0.04
dust2—30–30%-0.04
ancient—11–0100%0.01
mirage—11–0100%0.02

Across the last 100 tracked matches.

Lifetime stats

384,618Lifetime kills
1.30K/D · Top 25% of Level 7 players
13,094Matches
69.4%Match win rate · Top 5% of Level 7 players
73.8%Headshot % · Top 1% of Level 7 players
11.8%Shot accuracy
29,494MVPs
8,928Hours (in match)
3,659Bombs planted
1,579Bombs defused

Most-used weapons

AK-4787,778
P2000 / USP-S71,313
M4A4 / M4A1-S68,344
AWP42,919
Desert Eagle37,982
SG 55320,700
Glock-1812,837
SSG 086,406
Galil AR4,676
FAMAS3,649

Lifetime map wins

27,770office
12,019inferno
3,673italy
2,438vertigo
2,182dust2
1,585train
1,400nuke
1,316lake

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

Faceit stats

Combat

485Matches
53%Win rate
1.34Avg K/D
—ADR
59%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Vertigo475%1.1517.5
Mirage250%1.0318.0
Anubis20%0.9613.5
Overpass1100%2.8317.0
Nuke10%0.547.0

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.

32.6%Headshot accuracy
35.4%Accuracy (enemy spotted)
37.5%Spray accuracy
89.6%Counter-strafing
9.1°Preaim
562msReaction time
44.0%T opening success
58.4%CT opening success
0.31Enemies flashed / flash
8.9%Flash assists
8.69HE damage / grenade
2.55Flashes / 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.

  1. 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 0.314 — below the 0.5 mark we flag

    Grenade Lineups →
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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
boulder13–10-0.0135%29 Aug →
boulder9–130.0940%28 Aug →
boulder3–130.1031%28 Aug →
debris9–40.0424%28 Aug →
debris5–90.0644%28 Aug →
debris3–9-0.1650%28 Aug →
cache2–13-0.0443%28 Aug →
cache4–13-0.0628%28 Aug →
shelter13–110.0638%27 Aug →
shelter13–90.0635%27 Aug →
cache4–13-0.0619%27 Aug →
cache4–13-0.0221%27 Aug →
cache12–12-0.0236%27 Aug →
boulder13–90.0929%25 Aug →
italy7–13-0.0617%25 Aug →
ancient5–20.0122%25 Aug →
inferno3–13-0.1018%25 Aug →
boulder13–30.1133%25 Aug →
boulder11–13-0.0233%25 Aug →
boulder13–90.0528%24 Aug →
shelter13–20.1137%24 Aug →
shelter13–90.0128%24 Aug →
shelter13–60.0843%22 Aug →
shelter13–40.0147%22 Aug →
shelter13–10.0845%21 Aug →
dust212–12-0.0029%21 Aug →
shelter13–11-0.0349%21 Aug →
office0–13-0.0217%21 Aug →
office13–00.1050%21 Aug →
boulder13–30.0626%21 Aug →
inferno6–130.0242%21 Aug →
shelter8–13-0.0517%21 Aug →
shelter13–90.1334%21 Aug →
shelter4–00.1623%21 Aug →
shelter13–20.1442%21 Aug →
dust22–13-0.0816%20 Aug →
italy13–60.1138%20 Aug →
boulder13–80.0135%20 Aug →
shelter13–90.0935%20 Aug →
shelter12–120.0535%20 Aug →
train13–20.0533%18 Aug →
mirage13–60.0224%18 Aug →
shelter13–110.0441%18 Aug →
train3–13-0.0044%18 Aug →
boulder1–13-0.0916%18 Aug →
shelter13–30.2253%18 Aug →
shelter13–90.0468%18 Aug →
shelter11–130.1143%17 Aug →
boulder4–13-0.0528%17 Aug →
shelter3–00.0870%16 Aug →
italy11–130.0236%16 Aug →
dust22–13-0.0319%16 Aug →
inferno13–00.0626%16 Aug →
shelter13–10.1147%15 Aug →
shelter13–20.0640%15 Aug →
inferno13–50.0033%15 Aug →
italy13–40.1350%14 Aug →
train13–40.0248%14 Aug →
train2–13-0.0159%13 Aug →
shelter9–130.0028%13 Aug →
train3–130.0623%13 Aug →
cache13–110.0745%13 Aug →
shelter13–30.1536%13 Aug →
shelter13–90.0432%13 Aug →
shelter13–100.0141%13 Aug →
boulder13–60.0624%11 Aug →
shelter13–90.1333%10 Aug →
italy13–70.1150%10 Aug →
shelter13–00.1931%10 Aug →
italy13–80.0829%10 Aug →
boulder9–130.0225%10 Aug →
boulder13–60.0634%10 Aug →
italy13–50.0733%9 Aug →
shelter13–30.1028%9 Aug →
shelter10–130.0548%9 Aug →
boulder11–13-0.0129%9 Aug →
boulder12–120.0627%9 Aug →
shelter3–130.0841%9 Aug →
shelter10–130.1246%9 Aug →
shelter7–13-0.0225%9 Aug →
shelter13–10.0650%8 Aug →
shelter6–20.0435%8 Aug →
shelter13–90.1044%8 Aug →
boulder8–13-0.0041%7 Aug →
boulder10–130.0646%7 Aug →
office13–110.0632%7 Aug →
italy3–13-0.0226%7 Aug →
italy13–90.1234%7 Aug →
shelter7–130.1523%6 Aug →
shelter9–130.0126%6 Aug →
shelter13–40.0935%6 Aug →
shelter11–130.0344%6 Aug →
italy6–130.0031%6 Aug →
office13–110.0331%6 Aug →
boulder9–50.0032%6 Aug →
shelter13–70.2153%6 Aug →
shelter13–00.0348%4 Aug →
shelter13–30.1136%4 Aug →
shelter6–130.0034%4 Aug →
debris5–9-0.0745%4 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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