Squirrel Fart — CS2 Stats

76561198286701376[U:1:326435648]

1,124Tracked matches63%Win rate2022Tracked since
724Hours in CS
CSDB Rating5.4 Developing
WingmanGold Nova III
Ladder ranks via Leetify

Performance scores

Aim55
Positioning56
Utility23

0–100 skill scores via Leetify.

Recent form

STEADY47476Last 10047%Win rateLWLWWTTWLL

Last 10 vs previous 10: -10pp win rate · -0.04 avg rating

Player DNA

Aim5.5
Aggression7.0
Utility2.3
Positioning5.6
Opening Duels2.9
Clutch6.0

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

ropz

Plays most like ropz 81% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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. 676ms 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
Positioning5.6
Utility2.3
Mechanics6.7
Opening Duels2.9
Win Impact9.4

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+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time676ms+47ms
first ⅓ avg 629ms → last ⅓ avg 676ms
Headshot accuracy20.4%+1.5%
first ⅓ avg 18.9% → last ⅓ avg 20.4%

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

0.21Best rating — vertigo 9–2
131Biggest win — cache
7Longest win streak
39In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 70% over 10infernoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC1771041%-0.01
dust2C167944%-0.00
vertigoB137654%-0.00
anubisB115645%-0.01
cacheS107370%0.01
nukeA95456%-0.01
infernoC83538%0.00
ancientC83538%-0.02
poseidonB63350%-0.04
eldorado1010%-0.12
debris1010%-0.23

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,667Lifetime kills
1.02K/D
2,247Matches
47.9%Match win rate · Top 50% of tracked players
39.7%Headshot %
9.2%Shot accuracy
4,395MVPs
724Hours (in match)
1,898Bombs planted
402Bombs defused

Most-used weapons

Lifetime map wins

5,150vertigo
4,875nuke
1,182dust2
765inferno
499lake
95train
34bank
11sugarcane

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

Faceit stats

Combat

15Matches
40%Win rate
0.80Avg K/D
68.4ADR
42%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient425%0.589.3
Anubis450%0.8613.0
Dust2250%0.7210.5
Nuke250%1.7216.0
Train250%0.447.5
Inferno10%0.436.0

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.

18.4%Headshot accuracy
30.7%Accuracy (enemy spotted)
32.3%Spray accuracy
80.1%Counter-strafing
9.1°Preaim
676msReaction time
41.0%T opening success
42.0%CT opening success
0.23Enemies flashed / flash
8.0%Flash assists
7.39HE damage / grenade
1.33Flashes / 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. 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 0.2342 — below the 0.5 mark we flag

    Grenade Lineups
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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
eldorado3–9-0.120%15 Aug
poseidon9–6-0.0215%15 Aug
poseidon0–9-0.300%9 Aug
poseidon9–40.0718%9 Aug
vertigo9–10.1040%9 Aug
inferno8–8-0.0933%9 Aug
inferno8–80.0820%9 Aug
nuke13–7-0.0112%9 Aug
poseidon7–9-0.0727%8 Aug
mirage11–13-0.0426%6 Aug
vertigo6–30.0846%6 Aug
dust24–13-0.0021%5 Aug
nuke14–16-0.0415%5 Aug
dust213–4-0.007%5 Aug
cache13–20.0020%4 Aug
dust23–13-0.0719%4 Aug
cache1–13-0.0850%4 Aug
vertigo9–20.2114%4 Aug
anubis13–40.0111%2 Aug
poseidon6–9-0.0721%1 Aug
inferno9–50.0333%1 Aug
poseidon9–20.185%1 Aug
mirage13–40.0412%1 Aug
mirage7–13-0.0441%1 Aug
vertigo13–9-0.0016%1 Aug
vertigo2–9-0.145%1 Aug
debris0–9-0.2350%1 Aug
vertigo8–8-0.0716%1 Aug
cache13–100.0420%13 Jul
nuke13–8-0.0410%13 Jul
cache8–13-0.0216%11 Jul
ancient13–8-0.0119%11 Jul
vertigo5–13-0.0416%9 Jul
cache13–40.0914%9 Jul
dust213–30.0510%9 Jul
anubis6–13-0.0613%8 Jul
dust210–130.1124%8 Jul
dust213–50.0018%7 Jul
cache13–1-0.0522%6 Jul
ancient13–100.009%6 Jul
anubis13–11-0.0328%5 Jul
dust213–60.1010%5 Jul
anubis13–3-0.0216%5 Jul
mirage13–11-0.0511%5 Jul
dust210–13-0.0120%5 Jul
dust213–5-0.0113%4 Jul
ancient12–120.0611%4 Jul
inferno2–13-0.0822%4 Jul
mirage13–30.0110%4 Jul
ancient11–130.0218%4 Jul
cache13–20.0811%28 Jun
mirage11–130.0214%28 Jun
dust212–12-0.0426%28 Jun
cache8–130.0225%28 Jun
inferno13–70.057%28 Jun
dust29–130.0220%28 Jun
ancient6–13-0.0921%28 Jun
anubis13–60.0818%27 Jun
mirage9–130.0118%27 Jun
nuke13–90.0719%27 Jun
dust213–50.0318%27 Jun
cache13–30.0317%26 Jun
nuke9–13-0.0121%26 Jun
vertigo9–13-0.0525%23 Jun
ancient4–13-0.0511%23 Jun
inferno10–130.0024%21 Jun
ancient12–1-0.0533%21 Jun
anubis10–13-0.0413%18 Jun
mirage13–30.0426%18 Jun
vertigo6–13-0.0527%17 Jun
mirage11–130.0032%17 Jun
nuke4–13-0.0129%17 Jun
mirage11–13-0.0413%14 Jun
dust21–13-0.1150%14 Jun
anubis5–13-0.0322%14 Jun
mirage4–13-0.0517%14 Jun
anubis13–100.0612%14 Jun
vertigo13–9-0.027%13 Jun
dust211–13-0.0520%13 Jun
nuke13–60.0324%11 Jun
mirage13–6-0.0418%11 Jun
ancient7–13-0.0531%11 Jun
anubis9–13-0.0413%10 Jun
mirage13–10.0720%10 Jun
inferno7–13-0.0310%9 Jun
mirage13–9-0.0514%8 Jun
dust27–13-0.0529%8 Jun
cache13–11-0.0535%6 Jun
inferno7–00.0521%6 Jun
nuke8–13-0.0116%6 Jun
mirage11–130.018%24 Dec
vertigo5–13-0.0711%24 Dec
mirage10–130.0216%18 Dec
vertigo13–10.0317%18 Dec
nuke13–10-0.0316%17 Dec
vertigo13–6-0.0022%10 Aug
dust213–3-0.043%10 Aug
anubis8–13-0.0211%4 Aug
mirage8–13-0.0910%4 Aug
anubis12–12-0.0213%2 Aug

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 →