papaya

papaya — CS2 Stats

76561197961434318[U:1:1168590]Steam profile ↗✓ No bans

1,038Tracked matches61%Win rate2020Tracked since
CSDB Rating5.7 SolidClutch Specialist
Premier CS Rating16,306Purple band · top ~23.2% of ranked players (population est.)
CSDB Leaderboard#9838 of 16194 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGpapayaFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER16,306 · Purple bandcsdb.gg/stats

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Performance scores

Aim55
Positioning58
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY47476Last 10047%Win rateTLWLWWWLWW

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

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim5.5
Aggression8.7
Utility5.6
Positioning5.8
Opening Duels3.6
Clutch7.6

Reliable in 1v1s

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 88% playstyle similarity

Most alike: utility contribution, 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. 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

Aim5.5
Positioning5.8
Utility5.6
Mechanics5.7
Opening Duels3.6
Win Impact8.6

Composite 5.7/10 (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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time643ms+18ms
first ⅓ avg 626ms → last ⅓ avg 643ms
Headshot accuracy18.9%−0.4%
first ⅓ avg 19.3% → last ⅓ avg 18.9%

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

0.15Best rating — dust2 13–1
131Biggest win — dust2
6Longest win streak
79In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 67% over 6ancientWeakest map · 42% over 19
MapGradePlayedRecordWin rateAvg rating
infernoB22101245%-0.01
ancientC1981142%-0.00
dust2B189950%0.00
anubisA148657%0.02
mirageB136746%0.01
cacheS64267%-0.02
nuke42250%-0.02
overpass4040%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

450Matches
51%Win rate
0.96Avg K/D
74.4ADR
41%Headshot %

Clutches & streaks

58%1v1 clutch win
19%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno1164%0.9913.4
Anubis1191%1.1417.4
Ancient30%0.7311.0
Mirage250%1.2519.0
Dust2250%1.1219.5
Overpass250%0.9313.0
Vertigo20%0.6110.5

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.

19.4%Headshot accuracy
34.4%Accuracy (enemy spotted)
36.1%Spray accuracy
75.7%Counter-strafing
12.5°Preaim
631msReaction time
42.8%T opening success
46.0%CT opening success
0.53Enemies flashed / flash
5.6%Flash assists
11.56HE damage / grenade
8.50Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.4931° — above the 12° mark we flag

    Aim Training
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.

42% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis15–150.0626%28 Aug
cache8–13-0.066%27 Aug
anubis13–70.0111%27 Aug
inferno11–130.0123%23 Aug
ancient13–110.0211%22 Aug
dust213–50.0921%22 Aug
inferno16–140.0628%22 Aug
ancient6–130.0117%22 Aug
dust213–11-0.0333%22 Aug
cache13–2-0.036%22 Aug
dust213–8-0.0312%16 Aug
cache13–80.0116%16 Aug
inferno13–50.0730%12 Aug
ancient13–90.0519%11 Aug
inferno11–13-0.0125%9 Aug
inferno13–100.0226%9 Aug
anubis13–30.0714%9 Aug
mirage13–100.0512%9 Aug
mirage5–13-0.0124%8 Aug
dust29–13-0.0513%8 Aug
dust29–130.0417%8 Aug
dust213–10.1522%8 Aug
ancient8–130.039%7 Aug
inferno15–150.0214%2 Aug
nuke13–7-0.0322%2 Aug
cache13–90.0220%1 Aug
inferno5–13-0.0944%31 Jul
dust213–40.0411%24 Jul
ancient11–130.0319%23 Jul
inferno11–13-0.0124%23 Jul
mirage14–160.0321%23 Jul
dust26–13-0.0510%22 Jul
inferno13–6-0.0219%22 Jul
anubis7–13-0.002%21 Jul
inferno4–13-0.0417%21 Jul
cache13–90.0316%21 Jul
inferno13–110.0213%21 Jul
mirage13–70.1024%21 Jul
cache8–13-0.0712%20 Jul
ancient13–160.0316%19 Jul
inferno16–12-0.0315%19 Jul
anubis13–50.0420%19 Jul
inferno7–13-0.0932%17 Jul
ancient7–13-0.0523%17 Jul
anubis7–13-0.0118%17 Jul
mirage14–16-0.0211%11 Jul
dust213–90.0315%10 Jul
inferno15–150.0023%10 Jul
anubis13–100.0411%5 Jul
dust27–13-0.0523%5 Jul
ancient13–100.008%4 Jul
mirage4–130.0218%4 Jul
overpass7–13-0.0114%4 Jul
mirage6–13-0.0520%26 Jun
anubis13–100.016%26 Jun
ancient4–13-0.124%13 Jun
nuke11–13-0.0218%12 Jun
mirage13–70.0221%9 Jun
inferno5–13-0.0817%9 Jun
overpass6–13-0.0220%6 Jun
inferno15–150.0316%6 Jun
nuke13–70.028%31 May
inferno13–50.0220%31 May
ancient7–130.0711%31 May
anubis10–13-0.0624%31 May
dust213–16-0.0916%31 May
mirage13–100.0121%29 May
ancient10–13-0.0312%29 May
ancient13–11-0.0213%29 May
mirage13–100.0111%25 May
nuke6–13-0.0416%24 May
ancient9–13-0.0116%24 May
dust213–11-0.0016%24 May
anubis13–90.0419%23 May
anubis15–150.0419%23 May
overpass2–13-0.0113%23 May
dust25–13-0.0223%23 May
anubis13–100.0220%22 May
ancient13–10.1114%16 May
ancient13–11-0.0116%10 May
inferno13–9-0.0315%10 May
mirage13–2-0.0229%10 May
anubis13–6-0.0421%10 May
ancient10–13-0.0317%10 May
dust213–160.0525%9 May
ancient13–9-0.089%9 May
anubis10–130.0413%8 May
overpass14–16-0.0126%8 May
mirage2–130.0842%8 May
dust215–15-0.0221%8 May
mirage3–13-0.0335%8 May
ancient13–7-0.0411%4 May
inferno13–90.0116%4 May
ancient10–13-0.0121%4 May
dust213–4-0.0121%4 May
inferno13–70.0530%4 May
inferno10–13-0.0019%4 May
dust25–13-0.0218%4 May
inferno11–13-0.0220%3 May
dust213–50.0323%3 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 →