Fishures

Fishures — CS2 Stats

76561198320200241[U:1:359934513]Steam profile ↗✓ No bans

2,438Tracked matches57%Win rate2022Tracked since
924Hours in CS
CSDB Rating6.3 SolidAll-Rounder
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (17 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,438 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 60 days played since 25 Jun 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 17,384 +1,617 25 Jun18 May · 30 days played
15,76720,700peak 20,70025 Jun18 May
20,700Peak Premier in tracked matches
60Days played since 2025-06-25

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=12,717), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 7 medianLevel 8 medianvs Level 8
Headshot rate44.3%45.7%46.8%2.5% short
Shot accuracy6.6%12.7%13.0%6.4% short
Kill/death ratio1.081.051.06meets
Match win rate63.0%45.7%46.3%above

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFishuresFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim78
Positioning50
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY51481Last 10051%Win rateLWWLWWLLLW

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · +0.2pp headshot accuracy · −93ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 563ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 557ms

Last 20

  • 128 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 604ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-RounderNo style dimension stands clear of the others in this profile.

Aim7.8
Utility4.8
Positioning5.0
Opening Duels3.4

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 96% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution; lower positioning 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.

T-side openings. Opening success drops from 49% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 621ms 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

Aim7.8
Positioning5.0
Utility4.8
Mechanics8.3
Opening Duels2.7
Win Impact7.2

Composite 6.3/10 (Solid), 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-0.00−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time592ms−41ms
first ⅓ avg 633ms → last ⅓ avg 592ms
Headshot accuracy16.0%+2.4%
first ⅓ avg 13.6% → last ⅓ avg 16.0%

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.

Personal bests

0.12Best match rating · 13–1 · train, 30 Jul
33%Best headshot accuracy · 13–10 · inferno, 17 May
305msFastest reaction time · 0–5 · dust2, 8 Sept
13–1Biggest win · inferno, 5 May

Across the last 100 tracked matches.

Highlights

7Longest win streak
710In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 80% over 10dust2Weakest map · 32% over 31
MapGradePlayedRecordWin rateAvg rating
dust2D31102132%-0.02
infernoA2011955%0.00
ancientB179853%0.01
anubisS108280%0.03
mirageA85363%0.02
trainA74357%0.02
overpass43175%0.02
cache31233%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (32% over 31). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

41,308Lifetime kills
1.08K/D · Top 50% of Level 7 players
2,522Matches
63.0%Match win rate · Top 5% of Level 7 players
44.3%Headshot %
6.6%Shot accuracy
5,472MVPs
924Hours (in match)
2,470Bombs planted
744Bombs defused

Most-used weapons

Lifetime map wins

13,487dust2
3,739inferno
485vertigo
323nuke
98train
49office
40cbble
16lake

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

Faceit stats

Combat

126Matches
57%Win rate
1.26Avg K/D
ADR
41%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3650%1.0917.1
Inferno3057%1.4817.0
Anubis2148%1.4016.7
Ancient1662%1.1715.6
Vertigo1275%1.2515.9
Overpass875%1.1817.9
Nuke367%0.7912.0

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.

17.2%Headshot accuracy
36.5%Accuracy (enemy spotted)
37.4%Spray accuracy
87.1%Counter-strafing
8.1°Preaim
621msReaction time
31.9%T opening success
49.4%CT opening success
0.59Enemies flashed / flash
6.4%Flash assists
10.81HE damage / grenade
4.66Flashes / 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 31.9203% — below the 40% mark we flag

Spend your practice time on Dust 2

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

32% win rate across 31 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient7–13-0.0320%22 Aug
mirage13–7-0.0220%30 Jul
anubis13–90.0320%30 Jul
inferno10–13-0.0113%26 Jul
dust213–70.0418%26 Jul
dust213–60.0712%26 Jul
dust20–5-0.220%20 Jun
inferno10–13-0.0610%5 Jun
mirage11–130.0515%18 May
inferno13–100.0133%17 May
dust26–13-0.0221%12 May
ancient13–80.0112%11 May
cache13–30.0918%11 May
ancient13–90.0920%5 May
inferno13–10.0426%5 May
ancient13–100.0419%3 May
ancient16–130.0219%3 May
dust213–40.0510%3 May
dust28–13-0.0413%2 May
inferno1–7-0.100%1 May
cache0–7-0.0813%30 Apr
dust211–13-0.0128%29 Apr
cache9–130.0715%29 Apr
anubis13–11-0.039%28 Apr
inferno13–70.0314%27 Apr
mirage13–60.0915%27 Apr
inferno12–16-0.0319%22 Apr
dust213–10-0.0119%20 Apr
anubis13–40.0915%11 Apr
dust24–12-0.0423%27 Mar
dust21–13-0.0130%27 Mar
dust210–13-0.0810%27 Feb
dust20–5-0.090%31 Jan
ancient5–13-0.092%31 Jan
anubis6–13-0.0110%29 Jan
dust28–13-0.029%17 Jan
inferno11–13-0.0411%8 Jan
inferno13–60.0323%29 Dec
inferno1–7-0.0620%24 Dec
mirage11–13-0.0216%16 Dec
inferno13–90.0612%6 Dec
mirage10–13-0.0413%26 Oct
dust22–13-0.0725%5 Oct
ancient11–130.0112%4 Oct
dust29–13-0.0115%20 Sept
dust213–60.0518%17 Sept
overpass13–10-0.0315%13 Sept
dust20–5-0.120%8 Sept
dust214–160.0512%7 Sept
mirage13–80.038%6 Sept
dust26–13-0.0332%22 Aug
inferno13–10-0.0421%16 Aug
ancient13–4-0.0016%7 Aug
overpass13–100.0511%2 Aug
overpass2–7-0.0314%1 Aug
dust26–13-0.0313%1 Aug
ancient13–100.025%1 Aug
ancient13–110.0121%30 Jul
train13–10.1211%30 Jul
train1–6-0.0517%29 Jul
inferno3–10-0.0012%26 Jul
dust211–130.0628%26 Jul
inferno13–11-0.0219%20 Jul
dust213–90.0317%20 Jul
inferno13–60.078%19 Jul
train10–130.0411%19 Jul
inferno3–130.0416%19 Jul
overpass13–70.0715%19 Jul
train13–40.0510%19 Jul
dust25–13-0.0515%19 Jul
dust211–13-0.016%16 Jul
ancient13–9-0.0217%16 Jul
dust213–90.0413%12 Jul
dust213–11-0.0211%11 Jul
ancient2–130.0120%11 Jul
dust213–7-0.048%4 Jul
mirage13–60.0715%4 Jul
anubis13–100.0610%4 Jul
dust28–13-0.036%4 Jul
train5–13-0.0016%3 Jul
ancient14–160.0523%2 Jul
ancient2–13-0.0614%2 Jul
inferno3–13-0.0217%2 Jul
anubis13–110.0120%1 Jul
inferno13–100.0216%30 Jun
dust212–16-0.0414%30 Jun
mirage13–11-0.0312%29 Jun
dust213–50.1024%29 Jun
inferno13–60.0513%28 Jun
ancient14–160.0513%28 Jun
anubis13–100.0112%28 Jun
inferno13–80.0917%28 Jun
ancient13–70.047%28 Jun
train13–90.0314%28 Jun
train16–14-0.0314%28 Jun
ancient9–130.0110%28 Jun
anubis15–150.0211%28 Jun
dust29–13-0.068%25 Jun
anubis13–50.0510%25 Jun
anubis13–100.0519%25 Jun

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 →