cat fish — CS2 Stats

76561199058058752[U:1:1097793024]

2,816Tracked matches46%Win rate2020Tracked since
CSDB Rating6.6 SolidHybrid Rifler
Premier CS Rating21,569Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.8% of ranked players (population est.)
CSDB Leaderboard#11612 of 37467 tracked
FaceitLevel 10 · 2,265 ELOTop 12.4% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

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CSDB.GGcat fishFACEITLevel 10 · 2,265 ELOSTANDINGTop 12.4% of rankedPREMIER21,569 · Pink bandcsdb.gg/stats

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Performance scores

Aim82
Positioning59
Utility77

0–100 skill scores via Leetify.

Recent form

STEADY49438Last 10049%Win rateLLWWLWLLTW

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

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim8.2
Aggression5.6
Utility7.7
Positioning5.9
Opening Duels1.3
Clutch4.4

Strong CT-side openerHigh utility contribution

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

Twistzz

Plays most like Twistzz 93% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Utility. Utility score of 77 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 43% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 568ms 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

Aim8.2
Positioning5.9
Utility7.7
Mechanics7.4
Opening Duels1.7
Win Impact3.8

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time565ms−11ms
first ⅓ avg 575ms → last ⅓ avg 565ms
Headshot accuracy30.9%+0.2%
first ⅓ avg 30.6% → last ⅓ avg 30.9%

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

0.14Best rating — inferno 13–6
131Biggest win — nuke
7Longest win streak
L2Current streak
76In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 78% over 9mirageWeakest map · 38% over 26
MapGradePlayedRecordWin rateAvg rating
infernoB29131645%0.04
mirageC26101638%0.01
ancientB22111150%0.01
nukeA95456%0.01
anubisS97278%0.04
dust2A53260%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 26). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

747Matches
52%Win rate
1.11Avg K/D
82.4ADR
45%Headshot %

Clutches & streaks

42%1v1 clutch win
27%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage13751%1.2217.9
Inferno7056%1.3619.6
Anubis6557%1.0416.2
Ancient5843%1.0016.1
Nuke2952%1.0817.1
Dust24100%1.1723.3
Vertigo250%1.2922.5
Overpass10%0.7110.0

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.

30.8%Headshot accuracy
32.9%Accuracy (enemy spotted)
31.8%Spray accuracy
83.3%Counter-strafing
9.8°Preaim
568msReaction time
27.1%T opening success
43.5%CT opening success
0.62Enemies flashed / flash
13.6%Flash assists
11.94HE damage / grenade
17.91Flashes / 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 27.0861% — 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.

38% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.0030%28 Aug
dust22–13-0.0820%28 Aug
dust213–90.0227%27 Aug
nuke13–80.0938%27 Aug
inferno4–130.0024%27 Aug
dust213–110.1323%26 Aug
dust211–130.0523%26 Aug
inferno3–130.0129%26 Aug
ancient12–120.0626%25 Aug
inferno13–90.0937%25 Aug
inferno9–130.1044%24 Aug
inferno12–120.0231%23 Aug
mirage10–13-0.0428%19 Aug
inferno13–70.0429%19 Aug
ancient13–7-0.0134%19 Aug
dust26–2-0.0250%19 Aug
ancient13–90.0331%4 Jun
mirage9–13-0.0522%4 Jun
mirage3–130.0523%5 May
anubis13–100.0528%3 May
mirage13–9-0.0440%1 May
nuke1–13-0.0230%1 May
ancient13–110.1026%1 May
inferno11–130.0242%30 Apr
inferno3–13-0.0322%30 Apr
inferno3–130.0035%30 Apr
ancient11–130.0129%30 Apr
inferno13–80.0833%29 Apr
inferno6–13-0.0135%29 Apr
anubis13–50.1244%29 Apr
inferno10–13-0.0135%29 Apr
ancient8–13-0.0326%28 Apr
inferno13–100.0825%28 Apr
ancient13–11-0.0228%27 Apr
mirage4–130.0733%27 Apr
mirage3–13-0.0332%26 Apr
ancient10–130.0021%26 Apr
mirage13–80.1145%26 Apr
ancient13–100.0625%25 Apr
nuke13–100.0438%25 Apr
mirage12–120.0228%25 Apr
anubis13–110.0626%25 Apr
inferno13–100.0525%24 Apr
inferno7–130.0839%24 Apr
mirage12–12-0.0522%14 Mar
ancient11–13-0.0131%14 Mar
anubis8–13-0.1023%14 Mar
inferno13–110.0232%14 Mar
inferno13–60.1432%3 Mar
inferno5–130.0438%3 Mar
ancient4–4-0.0717%28 Feb
inferno7–13-0.0331%28 Feb
mirage3–13-0.0335%28 Feb
ancient11–130.0021%27 Feb
inferno5–130.0227%24 Feb
inferno13–110.0116%18 Feb
inferno13–100.0327%18 Feb
mirage7–13-0.0130%15 Feb
ancient3–13-0.0723%15 Feb
ancient13–9-0.0026%15 Feb
ancient12–120.0524%14 Feb
inferno13–70.0745%14 Feb
anubis13–80.0729%14 Feb
mirage13–6-0.0320%14 Feb
anubis12–120.0226%7 Feb
ancient13–9-0.0029%7 Feb
mirage3–130.0330%6 Feb
mirage13–60.0219%6 Feb
inferno12–12-0.0120%6 Feb
mirage13–50.0724%5 Feb
nuke10–13-0.0645%5 Feb
ancient7–13-0.115%28 Jan
mirage8–13-0.0136%28 Jan
mirage13–70.0620%28 Jan
inferno8–00.1133%27 Jan
inferno12–120.0635%27 Jan
mirage13–90.0619%27 Jan
anubis13–40.0638%27 Jan
anubis13–5-0.0016%27 Jan
nuke13–70.0336%27 Jan
mirage13–100.0528%27 Jan
nuke9–13-0.0718%26 Jan
ancient16–140.0541%26 Jan
mirage8–130.0226%26 Jan
inferno13–60.0118%26 Jan
mirage13–70.0128%25 Jan
ancient13–90.0723%25 Jan
ancient13–100.0329%25 Jan
anubis13–60.0629%25 Jan
nuke13–60.0335%25 Jan
nuke13–10.0023%25 Jan
mirage3–130.0045%25 Jan
nuke8–130.0434%25 Jan
inferno13–8-0.0246%25 Jan
mirage7–130.0157%25 Jan
mirage13–40.0838%25 Jan
mirage8–13-0.0443%25 Jan
ancient12–160.0326%24 Jan
inferno9–130.0438%24 Jan
ancient13–8-0.0037%24 Jan

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
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