Stoat — CS2 Stats

76561198123190667[U:1:162924939]

2,731Tracked matches54%Win rate2022Tracked since
CSDB Rating5.6 SolidSupport
Premier CS Rating10,983Blue band · top ~49.7% of ranked players (population est.)
CSDB Leaderboard#6153 of 8520 tracked
FaceitLevel 4 · 798 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGStoatFACEITLevel 4 · 798 ELOSTANDINGTop 81.0% of rankedPREMIER10,983 · Blue bandcsdb.gg/stats

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Performance scores

Aim69
Positioning42
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY50446Last 10050%Win rateWWLLLLLWLW

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

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim6.9
Aggression4.6
Utility7.0
Positioning4.2
Opening Duels1.5
Clutch2.8

Strong CT-side opener

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 89% playstyle similarity

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

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 48% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 610ms 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

Aim6.9
Positioning4.2
Utility7.0
Mechanics7.1
Opening Duels2.3
Win Impact6.2

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time617ms−6ms
first ⅓ avg 623ms → last ⅓ avg 617ms
Headshot accuracy17.0%+1.2%
first ⅓ avg 15.9% → last ⅓ avg 17.0%

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 — mirage 13–10
131Biggest win — inferno
5Longest win streak
W2Current streak
38In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 70% over 20mirageWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
cacheC28121643%-0.01
ancientB25121348%-0.00
infernoS2014670%0.01
trainA106460%0.02
mirageD93633%-0.02
dust242250%0.02
anubis2020%-0.03
nuke21150%-0.04

Across the last 100 tracked matches.

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

Faceit stats

Combat

1,017Matches
49%Win rate
0.77Avg K/D
66.3ADR
40%Headshot %

Clutches & streaks

34%1v1 clutch win
18%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno28756%0.7411.5
Ancient26247%0.7412.1
Dust213237%0.8412.2
Mirage9538%0.8412.6
Train8458%0.7210.6
Overpass8245%0.7011.0
Cache3348%0.8112.6
Nuke2767%0.9814.6

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.

17.1%Headshot accuracy
33.9%Accuracy (enemy spotted)
35.7%Spray accuracy
81.8%Counter-strafing
8.7°Preaim
610msReaction time
23.5%T opening success
48.2%CT opening success
0.65Enemies flashed / flash
11.4%Flash assists
9.54HE damage / grenade
15.27Flashes / 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

    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 23.4788% — below the 40% mark we flag

Spend your practice time on Mirage

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.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
cache6–1-0.0210%28 Aug
inferno13–10.0734%28 Aug
train6–130.0210%28 Aug
ancient8–13-0.067%28 Aug
cache11–13-0.0221%28 Aug
cache7–13-0.0513%28 Aug
mirage12–16-0.0111%27 Aug
cache13–60.0221%27 Aug
inferno11–13-0.0620%27 Aug
train13–80.0722%27 Aug
ancient8–13-0.0119%27 Aug
cache10–13-0.0312%27 Aug
inferno12–120.0119%27 Aug
train13–60.0431%27 Aug
ancient11–13-0.0014%27 Aug
cache13–30.1012%27 Aug
mirage16–130.0214%26 Aug
dust28–130.0115%26 Aug
inferno13–60.0216%26 Aug
train13–60.0411%26 Aug
ancient13–5-0.0113%26 Aug
cache9–13-0.0524%26 Aug
cache10–13-0.0411%25 Aug
cache13–8-0.0222%25 Aug
inferno13–8-0.0117%25 Aug
train13–7-0.0118%25 Aug
ancient12–12-0.0513%25 Aug
cache13–20.0320%25 Aug
ancient13–30.0824%24 Aug
cache8–13-0.0623%24 Aug
inferno13–5-0.0017%24 Aug
train12–12-0.0119%24 Aug
ancient12–12-0.058%24 Aug
cache13–90.0111%24 Aug
mirage6–13-0.0615%22 Aug
ancient13–40.058%22 Aug
ancient13–110.0110%22 Aug
ancient13–3-0.0319%21 Aug
cache11–130.1014%21 Aug
cache7–13-0.0320%21 Aug
ancient13–70.046%21 Aug
inferno13–7-0.0529%21 Aug
mirage3–13-0.106%21 Aug
cache13–10-0.038%20 Aug
cache7–13-0.058%20 Aug
mirage9–13-0.0013%18 Aug
cache6–13-0.068%18 Aug
inferno13–8-0.0111%18 Aug
inferno5–130.0523%18 Aug
mirage13–4-0.0215%17 Aug
dust213–30.0324%17 Aug
ancient5–13-0.1110%17 Aug
mirage6–10-0.096%17 Aug
mirage13–100.1112%17 Aug
dust29–13-0.0328%16 Aug
cache13–70.0213%16 Aug
dust213–30.0913%16 Aug
inferno13–70.1017%16 Aug
train10–13-0.0026%16 Aug
inferno13–3-0.0314%16 Aug
cache13–11-0.0115%16 Aug
ancient1–13-0.073%16 Aug
inferno13–60.0121%15 Aug
ancient13–20.078%15 Aug
ancient16–14-0.0212%15 Aug
inferno13–60.0812%15 Aug
cache13–50.0316%14 Aug
ancient8–13-0.0711%14 Aug
inferno11–130.0121%14 Aug
cache8–13-0.027%14 Aug
ancient13–90.0822%14 Aug
mirage6–13-0.0214%13 Aug
inferno13–80.1022%13 Aug
anubis6–13-0.0110%13 Aug
cache7–13-0.0218%13 Aug
ancient9–13-0.017%13 Aug
ancient12–120.0421%13 Aug
ancient6–10.0722%13 Aug
inferno13–10.0421%13 Aug
train13–80.0422%13 Aug
train10–00.0714%13 Aug
cache13–10.1023%13 Aug
ancient11–13-0.0119%13 Aug
inferno5–13-0.0720%13 Aug
anubis14–16-0.0411%12 Aug
cache6–13-0.0814%12 Aug
ancient9–13-0.0413%12 Aug
cache13–6-0.0113%12 Aug
ancient2–13-0.019%12 Aug
cache9–13-0.0518%11 Aug
inferno13–60.0121%11 Aug
inferno13–5-0.0418%11 Aug
ancient13–50.0415%11 Aug
cache12–12-0.0218%11 Aug
train6–13-0.0019%10 Aug
cache8–130.0412%10 Aug
ancient13–50.025%10 Aug
inferno11–13-0.0020%9 Aug
nuke10–13-0.0615%9 Aug
nuke13–9-0.018%9 Aug

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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