ahhhTurtle — CS2 Stats

76561199370490231[U:1:1410224503]

2,275Tracked matches48%Win rate2022Tracked since
CSDB Rating4.8 Developing
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGahhhTurtleFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim57
Positioning58
Utility25

0–100 skill scores via Leetify.

Recent form

STEADY47476Last 10047%Win rateLWLWLLWWWL

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

Aim5.7
Aggression7.3
Utility2.5
Positioning5.8
Opening Duels3.0

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

b1t

Plays most like b1t 83% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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

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

Reaction time. 616ms 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

Aim5.7
Positioning5.8
Utility2.5
Mechanics5.7
Opening Duels3.0
Win Impact4.4

Composite 4.8/10 (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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time614ms−87ms
first ⅓ avg 701ms → last ⅓ avg 614ms
Headshot accuracy18.0%−3.6%
first ⅓ avg 21.6% → last ⅓ avg 18.0%

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

0.14Best rating — mirage 13–3
131Biggest win — train
4Longest win streak
68In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 68% over 19anubisWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C24101442%-0.02
ancientS1913668%-0.01
mirageD134931%-0.01
infernoA138562%0.01
anubisD113827%0.00
nukeC73443%-0.00
cacheC52340%-0.02
overpassA53260%-0.01
train21150%0.04
vertigo1010%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

7Matches
57%Win rate
1.30Avg K/D
ADR
44%Headshot %

Clutches & streaks

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

Recent Faceit resultsWWLLW

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.

18.8%Headshot accuracy
32.8%Accuracy (enemy spotted)
39.9%Spray accuracy
75.7%Counter-strafing
12.2°Preaim
616msReaction time
39.3%T opening success
44.8%CT opening success
0.41Enemies flashed / flash
2.5%Flash assists
6.04HE damage / grenade
3.19Flashes / 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 12.1746° — above the 12° mark we flag

    Aim Training
  2. 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 0.4116 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Anubis

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
cache14–16-0.0224%22 Jul
ancient13–40.0419%22 Jul
train4–130.0126%18 Jun
train13–10.0812%18 Jun
mirage2–13-0.0921%11 Jun
dust28–13-0.1016%11 Jun
mirage13–11-0.0618%10 Jun
inferno13–6-0.0218%3 Jun
ancient13–4-0.0414%3 Jun
anubis9–13-0.0215%3 Jun
mirage9–130.0219%31 May
nuke13–6-0.039%31 May
anubis5–13-0.0514%29 May
anubis12–120.0227%29 May
dust210–13-0.0111%28 May
mirage15–150.0511%22 May
mirage8–13-0.0118%22 May
dust28–00.0214%22 May
ancient11–13-0.0715%17 May
vertigo4–13-0.0419%16 May
inferno13–40.019%16 May
nuke9–130.0225%16 May
dust213–8-0.0420%15 May
ancient13–90.0629%14 May
inferno13–3-0.0120%14 May
dust27–13-0.0730%7 May
anubis3–13-0.0015%7 May
cache12–12-0.0127%6 May
cache13–6-0.0012%6 May
ancient13–7-0.0129%3 May
nuke13–50.0013%2 May
inferno4–11-0.0515%2 May
dust27–13-0.0111%2 May
inferno6–13-0.0116%2 May
cache9–13-0.0424%30 Apr
cache13–7-0.0325%29 Apr
inferno13–90.0320%28 Apr
mirage7–13-0.079%28 Apr
inferno13–90.0613%28 Apr
ancient6–13-0.0214%26 Apr
dust27–13-0.0624%26 Apr
ancient13–100.0412%25 Apr
overpass13–80.0517%22 Apr
ancient13–9-0.0131%22 Apr
dust29–13-0.0126%19 Apr
inferno11–130.0016%19 Apr
mirage3–13-0.1117%18 Apr
inferno13–10.1350%18 Apr
anubis11–13-0.0213%17 Apr
mirage11–130.0117%15 Apr
ancient13–100.0519%15 Apr
mirage8–13-0.0512%13 Apr
mirage13–90.0124%12 Apr
ancient13–70.0614%11 Apr
dust22–13-0.104%11 Apr
dust213–110.0718%11 Apr
mirage13–30.1425%11 Apr
nuke13–110.0417%11 Apr
overpass11–13-0.0318%10 Apr
anubis13–60.0319%9 Apr
mirage13–16-0.0016%9 Apr
overpass13–11-0.0023%8 Apr
anubis13–70.0716%8 Apr
anubis13–50.0819%8 Apr
inferno6–13-0.0018%5 Apr
anubis11–13-0.0419%5 Apr
dust215–150.0138%2 Apr
dust213–11-0.0521%31 Mar
dust213–6-0.0117%25 Mar
ancient13–8-0.0515%25 Mar
nuke6–13-0.0625%23 Mar
anubis7–13-0.0214%19 Mar
overpass13–6-0.0020%11 Mar
anubis5–13-0.0425%8 Mar
dust213–90.0323%8 Mar
dust213–70.0320%8 Mar
mirage13–9-0.0120%25 Feb
ancient13–100.0029%25 Feb
dust210–13-0.0413%25 Feb
ancient13–10-0.0130%20 Feb
inferno13–9-0.0316%20 Feb
dust29–13-0.0226%18 Feb
ancient13–8-0.0518%18 Feb
dust25–13-0.0422%15 Feb
ancient13–11-0.0421%13 Feb
ancient14–16-0.0617%11 Feb
dust213–3-0.0033%11 Feb
overpass12–16-0.0513%10 Feb
nuke15–150.0419%7 Feb
inferno13–60.0413%7 Feb
nuke10–13-0.0037%6 Feb
dust213–4-0.0217%6 Feb
inferno15–15-0.0225%5 Feb
ancient8–13-0.0517%1 Feb
ancient10–130.0228%31 Jan
dust210–13-0.0520%31 Jan
dust29–13-0.0129%29 Jan
ancient6–13-0.0528%29 Jan
dust213–7-0.0319%28 Jan
dust27–13-0.0624%27 Jan

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 →