gitbeaned

gitbeaned — CS2 Stats

NE76561198172193298[U:1:211927570]Steam profile ↗✓ No bans

1,567Tracked matches48%Win rate2020Tracked since
1,103Hours in CS
CSDB Rating5.4 Developing
Premier CS Rating17,410Purple band · top ~18.8% of ranked players (population est.)
CSDB Leaderboard#26700 of 52045 tracked
WingmanSilver I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate42.9%44.2%47.1%4.2% short
Shot accuracy11.0%11.6%12.8%1.8% short
Kill/death ratio0.951.031.080.13 short
Match win rate41.4%45.2%46.6%5.2% short

This profile sits below the typical Pink band player on every metric we can compare.

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

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CSDB.GGgitbeanedPREMIER17,410 · Purple bandcsdb.gg/stats

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Performance scores

Aim47
Positioning64
Utility64

0–100 skill scores via Leetify.

Recent form

COLD41509Last 10041%Win rateTLLLLWLLTL

Last 10 vs previous 10: -70pp win rate · -0.01 avg rating

Player DNA

Aim4.7
Aggression8.3
Utility6.4
Positioning6.4
Opening Duels3.7
Clutch4.2

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

b1t

Plays most like b1t 87% playstyle similarity

Most alike: utility contribution, 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

Reaction time. 631ms 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

Aim4.7
Positioning6.4
Utility6.4
Mechanics6.2
Opening Duels3.7
Win Impact4.4

Composite 5.4/10 (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 rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time622ms−17ms
first ⅓ avg 639ms → last ⅓ avg 622ms
Headshot accuracy15.0%−0.7%
first ⅓ avg 15.8% → last ⅓ avg 15.0%

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

0.11Best rating — inferno 13–8
131Biggest win — dust2
8Longest win streak
107In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 54% over 24infernoWeakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
dust2C24101442%-0.01
mirageB24131154%-0.02
infernoD1531220%-0.02
cacheB105550%-0.00
ancientD93633%-0.04
nukeD62433%-0.02
anubisC52340%-0.01
overpass32167%-0.04
office2020%-0.03
train21150%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,791Lifetime kills
0.95K/D
2,321Matches
41.4%Match win rate
42.9%Headshot %
11.0%Shot accuracy
5,503MVPs
1,103Hours (in match)
2,684Bombs planted
599Bombs defused

Most-used weapons

Lifetime map wins

4,863dust2
2,417inferno
1,800vertigo
1,518nuke
554train
190office
130lake
44cbble

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

Faceit stats

Combat

263Matches
43%Win rate
0.92Avg K/D
79.0ADR
44%Headshot %

Clutches & streaks

41%1v1 clutch win
19%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust25147%1.0315.8
Mirage4654%0.9314.3
Ancient3444%0.9013.7
Inferno2348%0.9714.7
Anubis1844%1.1614.2
Nuke1145%1.0614.4
Vertigo944%0.608.3
Train2100%1.1817.0

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.

15.1%Headshot accuracy
30.1%Accuracy (enemy spotted)
31.4%Spray accuracy
77.8%Counter-strafing
10.4°Preaim
631msReaction time
42.5%T opening success
46.8%CT opening success
0.57Enemies flashed / flash
8.5%Flash assists
10.86HE damage / grenade
7.13Flashes / 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.

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust215–15-0.0221%14 Aug
mirage9–13-0.0014%14 Aug
dust27–13-0.0218%30 Jul
mirage12–160.0418%28 Jul
inferno4–13-0.0727%28 Jul
mirage13–8-0.0824%28 Jul
ancient9–13-0.0710%28 Jul
inferno8–130.0113%28 Jul
nuke15–150.0215%28 Jul
inferno5–13-0.056%26 Jul
anubis15–15-0.037%26 Jul
anubis6–130.009%26 Jul
dust213–11-0.0512%24 Jul
nuke13–5-0.019%23 Jul
cache13–100.0020%23 Jul
anubis13–90.0017%23 Jul
cache13–60.0118%23 Jul
dust213–11-0.0312%23 Jul
dust213–70.0217%23 Jul
nuke13–11-0.0314%23 Jul
inferno3–13-0.0533%23 Jul
office11–13-0.0617%21 Jul
dust29–13-0.058%21 Jul
dust213–60.0921%21 Jul
mirage13–4-0.0110%21 Jul
inferno9–13-0.0412%20 Jul
mirage13–11-0.0314%20 Jul
ancient2–13-0.0922%20 Jul
inferno13–80.1112%20 Jul
ancient14–160.0212%17 Jul
mirage13–8-0.067%17 Jul
dust213–16-0.0718%16 Jul
anubis8–13-0.0711%16 Jul
inferno8–13-0.0717%16 Jul
dust213–80.0619%3 Jul
mirage13–60.0216%3 Jul
dust24–13-0.0617%26 Jun
mirage13–110.0419%25 Jun
mirage7–13-0.0510%25 Jun
overpass14–16-0.0110%25 Jun
dust29–13-0.0617%25 Jun
mirage13–80.0123%25 Jun
dust213–90.0416%25 Jun
anubis13–60.0319%25 Jun
mirage15–15-0.0514%24 Jun
dust27–13-0.0518%24 Jun
overpass13–7-0.0216%18 Jun
inferno4–13-0.0913%18 Jun
ancient8–13-0.0413%18 Jun
overpass13–8-0.092%16 Jun
dust211–130.006%16 Jun
dust210–13-0.0519%16 Jun
mirage6–13-0.019%16 Jun
inferno9–13-0.0317%15 Jun
mirage13–9-0.0118%15 Jun
mirage13–11-0.0325%15 Jun
mirage12–12-0.0113%15 Jun
ancient13–8-0.0012%15 Jun
inferno11–13-0.0218%15 Jun
mirage3–13-0.077%15 Jun
mirage8–13-0.0620%15 Jun
ancient13–7-0.0414%15 Jun
ancient13–3-0.0114%14 Jun
inferno5–13-0.0015%12 Jun
ancient11–13-0.0425%12 Jun
inferno7–130.0619%12 Jun
cache5–13-0.0714%11 Jun
dust216–120.0213%11 Jun
inferno8–13-0.0217%9 Jun
cache9–13-0.0319%9 Jun
inferno13–100.0224%8 Jun
dust213–11-0.0022%6 Jun
dust213–1-0.0217%6 Jun
dust21–13-0.0220%6 Jun
mirage3–13-0.089%6 Jun
mirage13–8-0.025%6 Jun
ancient1–13-0.0921%5 Jun
inferno13–110.019%5 Jun
mirage13–30.0515%5 Jun
dust213–90.0414%5 Jun
cache3–130.0219%5 Jun
dust212–120.0219%5 Jun
office7–130.0014%5 Jun
train13–10-0.0512%4 Jun
nuke4–13-0.0623%4 Jun
cache12–12-0.0617%4 Jun
nuke2–13-0.0419%1 Jun
dust212–120.0123%1 Jun
mirage13–90.039%1 Jun
dust24–13-0.0126%1 Jun
cache4–13-0.0412%1 Jun
mirage4–13-0.0818%30 May
dust25–13-0.0715%30 May
cache13–110.0617%28 May
cache13–100.0713%28 May
cache13–80.0215%28 May
mirage4–13-0.044%28 May
mirage13–11-0.019%27 May
nuke12–12-0.0220%27 May
train11–13-0.0111%27 May

Match data via Leetify.

Recent teammates

Milestones

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