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Pink Bean — CS2 Stats

76561197984565956[U:1:24300228]

712Tracked matches50%Win rate2020Tracked since
802Hours in CS
CSDB Rating4.3 Developing
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,149), 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 3 medianLevel 4 medianvs Level 4
Headshot rate40.5%42.2%42.7%2.2% short
Shot accuracy11.2%11.9%10.8%above
Kill/death ratio0.870.981.000.13 short
Match win rate47.2%43.6%44.1%above

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPink BeanFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim54
Positioning35
Utility49

0–100 skill scores via Leetify.

Recent form

COLD52–43–5Last 10052%Win rateLWLLLLWWLL

Last 10 vs previous 10: -30pp win rate · +0.00 avg rating

Player DNA

Aim5.4
Aggression3.0
Utility4.9
Positioning3.5
Opening Duels0.0

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

NiKo

Plays most like NiKo 73% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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

Strengths

Flashes. 0.83 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 586ms 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

Aim5.4
Positioning3.5
Utility4.9
Mechanics4.8
Opening Duels0.6
Win Impact5.0

Composite 4.3/10 (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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time590ms−10ms
first ⅓ avg 600ms → last ⅓ avg 590ms
Headshot accuracy14.3%+0.2%
first ⅓ avg 14.1% → last ⅓ avg 14.3%

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

0.05Best rating — inferno 13–10
13–2Biggest win — dust2
9Longest win streak
7–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 70% over 20ancientWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C3012–1840%-0.04
nukeS2114–767%-0.01
infernoS2014–670%-0.03
ancientD93–633%-0.03
overpassA95–456%-0.02
mirageD62–433%-0.07
cache—41–325%0.01
train—11–0100%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,558Lifetime kills
0.87K/D
1,705Matches
47.2%Match win rate · Top 25% of Level 3 players
40.5%Headshot %
11.2%Shot accuracy
3,180MVPs
802Hours (in match)
1,677Bombs planted
421Bombs defused

Most-used weapons

AK-477,189
M4A4 / M4A1-S5,463
AWP2,480
P2000 / USP-S1,766
Glock-181,620
Desert Eagle1,201
MAC-10900
P90704
FAMAS702
Galil AR488

Lifetime map wins

4,949dust2
3,344inferno
3,176nuke
589vertigo
400train
118office
73cbble
65italy

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

Faceit stats

Combat

11Matches
45%Win rate
0.51Avg K/D
—ADR
40%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
2Longest win streak

Recent Faceit resultsWLWLL

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.

14.3%Headshot accuracy
32.3%Accuracy (enemy spotted)
37.1%Spray accuracy
71.6%Counter-strafing
10.1°Preaim
586msReaction time
21.9%T opening success
34.5%CT opening success
0.83Enemies flashed / flash
4.3%Flash assists
12.13HE damage / grenade
3.36Flashes / 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. 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 14.3239% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.3635 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 21.8787% — below the 40% mark we flag

Spend your practice time on Ancient

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust25–13-0.0925%29 Aug →
inferno13–60.0421%29 Aug →
nuke6–13-0.0715%29 Aug →
ancient7–13-0.0216%11 Aug →
dust28–13-0.1020%5 Aug →
mirage10–13-0.1017%5 Aug →
nuke13–70.0413%3 Aug →
dust213–10-0.0313%3 Aug →
cache10–130.0225%2 Aug →
cache7–130.009%1 Aug →
mirage7–13-0.083%27 Jul →
dust213–20.039%27 Jul →
dust29–13-0.044%25 Jul →
nuke6–130.0016%22 Jul →
dust213–7-0.0617%22 Jul →
dust213–6-0.048%9 Jul →
ancient2–13-0.0514%6 Jul →
overpass13–10-0.0314%4 Jul →
ancient13–9-0.0014%4 Jul →
inferno13–9-0.0412%3 Jul →
inferno13–50.0520%3 Jul →
nuke13–6-0.0411%2 Jul →
dust22–13-0.0715%26 Jun →
dust26–10.0225%26 Jun →
nuke16–14-0.0116%24 Jun →
nuke13–50.0511%24 Jun →
ancient7–13-0.0613%24 Jun →
nuke11–130.0020%17 Jun →
train13–110.0413%17 Jun →
dust26–13-0.098%13 Jun →
nuke16–12-0.0014%13 Jun →
dust210–13-0.0213%10 Jun →
inferno10–13-0.0310%8 Jun →
dust210–13-0.075%8 Jun →
dust26–13-0.0016%5 Jun →
nuke13–8-0.025%2 Jun →
inferno2–13-0.097%30 May →
dust213–110.0123%30 May →
inferno13–8-0.0516%30 May →
overpass16–13-0.0116%30 May →
nuke13–6-0.027%29 May →
inferno13–11-0.025%29 May →
dust210–13-0.0718%27 May →
nuke8–13-0.0228%27 May →
inferno6–13-0.078%26 May →
inferno10–13-0.0315%26 May →
inferno13–9-0.0714%24 May →
ancient13–8-0.0917%20 May →
inferno13–9-0.0817%19 May →
dust213–6-0.0514%19 May →
dust213–7-0.0621%19 May →
inferno13–9-0.0213%18 May →
dust213–30.0021%18 May →
nuke13–5-0.006%18 May →
overpass13–2-0.059%18 May →
ancient11–130.0215%17 May →
overpass11–13-0.0225%17 May →
dust23–13-0.0227%17 May →
nuke9–130.0212%16 May →
inferno3–13-0.0621%16 May →
dust28–13-0.0315%16 May →
dust22–4-0.0917%16 May →
mirage7–13-0.0226%16 May →
nuke13–4-0.0116%16 May →
mirage13–11-0.0314%15 May →
mirage16–14-0.0912%14 May →
nuke15–15-0.0111%14 May →
dust211–13-0.0516%6 May →
dust213–8-0.0221%6 May →
inferno13–5-0.0618%5 May →
ancient3–13-0.0511%5 May →
nuke16–14-0.0420%5 May →
overpass15–15-0.0016%5 May →
ancient7–13-0.037%3 May →
dust213–16-0.008%3 May →
dust213–80.0216%2 May →
nuke7–1-0.0414%2 May →
overpass13–90.0421%2 May →
cache12–120.0112%2 May →
overpass13–6-0.0020%1 May →
ancient13–80.0015%1 May →
dust213–16-0.0319%1 May →
inferno13–7-0.038%30 Apr →
overpass11–13-0.0710%30 Apr →
inferno13–8-0.026%30 Apr →
cache13–40.0216%29 Apr →
inferno13–100.0527%28 Apr →
overpass3–13-0.0516%28 Apr →
dust215–15-0.0413%21 Apr →
dust211–13-0.0320%27 Mar →
nuke13–8-0.0218%27 Mar →
dust210–13-0.0214%27 Mar →
inferno13–5-0.0613%26 Mar →
mirage5–13-0.084%26 Mar →
inferno9–13-0.0413%24 Mar →
dust213–10-0.038%24 Mar →
nuke15–15-0.009%10 Mar →
inferno13–40.0213%10 Mar →
nuke13–9-0.0313%9 Mar →
nuke13–10-0.0311%8 Mar →

Match data via Leetify.

Recent teammates

Milestones

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

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