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Fish Taco — CS2 Stats

76561198202249942[U:1:241984214]

247Tracked matches43%Win rate2025Tracked since
788Hours in CS
CSDB Rating3.2 Learning
Ladder ranks via Leetify

Performance scores

Aim37
Positioning34
Utility20

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateWWLWLWLWWL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

Aim3.7
Aggression0.8
Utility2.0
Positioning3.4
Opening Duels0.0

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

NiKo

Plays most like NiKo 63% playstyle similarity

Most alike: opening-duel success, 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

Reaction time. 732ms 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

Aim3.7
Positioning3.4
Utility2.0
Mechanics5.7
Opening Duels0.0
Win Impact2.6

Composite 3.2/10 (Learning), 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+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time736ms−0ms
first ⅓ avg 736ms → last ⅓ avg 736ms
Headshot accuracy21.2%−0.3%
first ⅓ avg 21.5% → last ⅓ avg 21.2%

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

0.19Best rating — mirage 13–10
13–1Biggest win — mirage
4Longest win streak
W2Current streak
5–5In matches decided by ≤2 rounds
3Overtime games

Map breakdown

dust2Best map · 64% over 11ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
infernoB2210–1245%-0.03
mirageD196–1332%-0.02
nukeA1610–663%-0.00
cacheB126–650%-0.01
dust2A117–464%-0.01
ancientD103–730%-0.02
anubis—31–233%-0.01
train—31–233%-0.02
overpass—31–233%0.01
vertigo—11–0100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,716Lifetime kills
0.99K/D
2,258Matches
36.2%Match win rate
43.2%Headshot %
20.2%Shot accuracy · Top 5% of tracked players
4,079MVPs
788Hours (in match)
1,788Bombs planted
382Bombs defused

Most-used weapons

AK-4713,051
M4A4 / M4A1-S7,246
AWP3,624
P2000 / USP-S2,894
Desert Eagle2,308
Glock-181,739
UMP-451,379
P2501,057
P901,027
SSG 08947

Lifetime map wins

3,905dust2
2,076inferno
858nuke
664train
390cbble
75lake
44vertigo
40office

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

Faceit stats

Combat

4Matches
25%Win rate
0.52Avg K/D
—ADR
37%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
1Longest win streak

Recent Faceit resultsLWLLL

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.

20.7%Headshot accuracy
28.9%Accuracy (enemy spotted)
33.5%Spray accuracy
75.7%Counter-strafing
12.2°Preaim
732msReaction time
21.8%T opening success
27.0%CT opening success
0.31Enemies flashed / flash
1.3%Flash assists
7.54HE damage / grenade
1.34Flashes / 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 12.2236° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 731.7279ms — above the 700ms mark we flag

    Aim Training →
  3. 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 0.3064 — below the 0.5 mark we flag

    Grenade Lineups →
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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke16–130.0119%29 Aug →
mirage13–100.1924%29 Aug →
cache3–13-0.0214%24 Aug →
ancient13–7-0.0717%26 Jul →
anubis11–13-0.0425%26 Jul →
cache13–110.0629%26 Jul →
mirage2–13-0.0722%21 Jul →
vertigo13–90.0323%18 Jul →
inferno13–8-0.0118%11 Jul →
inferno10–13-0.0932%9 Jul →
cache9–13-0.0326%9 Jul →
nuke11–13-0.0412%9 Jul →
ancient12–12-0.0420%6 Jul →
nuke13–110.0115%4 Jul →
inferno13–50.0527%4 Jul →
cache4–13-0.0131%4 Jul →
mirage4–13-0.0516%3 Jul →
ancient12–12-0.0319%3 Jul →
mirage13–10-0.0217%1 Jul →
cache2–13-0.0715%1 Jul →
dust25–13-0.0629%29 Jun →
mirage9–13-0.0713%29 Jun →
mirage4–13-0.0815%26 Jun →
cache0–13-0.089%25 Jun →
inferno13–10-0.0428%25 Jun →
mirage13–10.0529%25 Jun →
dust213–20.0520%25 Jun →
dust29–13-0.0623%23 Jun →
mirage3–13-0.1115%23 Jun →
inferno1–13-0.0412%24 May →
nuke13–70.0322%24 May →
train4–130.0639%24 May →
nuke13–9-0.0224%19 May →
cache13–70.0015%19 May →
cache13–10-0.0427%6 May →
cache13–100.0326%6 May →
cache4–130.0133%6 May →
cache13–4-0.0313%30 Apr →
cache13–100.0323%30 Apr →
ancient15–15-0.0215%10 Apr →
inferno13–70.0919%10 Apr →
dust216–120.0020%10 Apr →
nuke13–5-0.0111%10 Apr →
nuke13–110.0616%26 Mar →
inferno3–13-0.0912%17 Mar →
nuke6–130.0327%17 Mar →
overpass10–50.0433%17 Mar →
nuke7–13-0.0518%16 Mar →
anubis4–13-0.0129%16 Mar →
dust213–90.1443%15 Mar →
nuke13–100.0118%13 Mar →
ancient10–130.0126%11 Mar →
mirage11–130.0237%9 Mar →
inferno13–70.0219%7 Mar →
overpass6–130.0119%7 Mar →
mirage2–13-0.0522%4 Mar →
inferno7–13-0.0816%18 Feb →
mirage10–13-0.0123%9 Dec →
inferno2–13-0.0813%9 Dec →
inferno13–8-0.0621%2 Dec →
mirage13–40.0520%30 Nov →
dust213–80.018%30 Nov →
train13–7-0.0717%30 Nov →
mirage4–13-0.1110%26 Nov →
ancient8–13-0.0110%22 Nov →
mirage1–13-0.0228%22 Nov →
inferno5–13-0.0943%22 Nov →
nuke7–13-0.0319%21 Nov →
mirage8–10.0114%21 Nov →
inferno13–5-0.0414%21 Nov →
nuke4–13-0.1013%19 Nov →
mirage3–13-0.0529%19 Nov →
ancient13–50.0628%19 Nov →
mirage0–13-0.096%8 Nov →
train10–13-0.0615%8 Nov →
dust211–13-0.0526%8 Nov →
inferno13–5-0.0027%5 Nov →
ancient5–13-0.0320%28 Oct →
inferno13–70.0113%28 Oct →
nuke13–50.1027%28 Oct →
nuke3–13-0.0635%28 Oct →
inferno6–130.0318%24 Oct →
nuke13–30.0322%24 Oct →
overpass10–13-0.0218%24 Oct →
nuke13–7-0.0310%22 Oct →
inferno3–13-0.0832%22 Oct →
dust29–13-0.0016%18 Oct →
inferno10–130.0126%18 Oct →
mirage13–3-0.0250%18 Oct →
ancient11–13-0.0532%18 Oct →
inferno7–13-0.0828%18 Oct →
dust213–11-0.0423%17 Oct →
inferno13–8-0.0616%17 Oct →
mirage3–13-0.0323%17 Oct →
dust213–11-0.0521%13 Oct →
dust213–7-0.037%13 Oct →
inferno7–130.0131%13 Oct →
anubis13–100.0318%12 Oct →
ancient13–7-0.0211%12 Oct →
inferno10–13-0.0326%11 Oct →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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