Fish ✞

Fish ✞ — CS2 Stats

US76561198873093112[U:1:912827384]Steam profile ↗✓ No bans

1,670Tracked matches36%Win rate2023Tracked since
CSDB Rating3.7 Learning
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

Share this profile

CSDB.GGFish ✞FACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim54
Positioning45
Utility20

0–100 skill scores via Leetify.

Recent form

STEADY48493Last 10048%Win rateWLLWWWLLWL

Last 10 vs previous 10: +40pp win rate · -0.01 avg rating

Player DNA

Aim5.4
Aggression5.1
Utility2.0
Positioning4.5
Opening Duels2.3
Clutch4.6

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 78% playstyle similarity

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

Where you differ: lower aim profile; lower 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

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. 589ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.4
Positioning4.5
Utility2.0
Mechanics4.4
Opening Duels2.3
Win Impact0.2

Composite 3.7/10 (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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time600ms+23ms
first ⅓ avg 577ms → last ⅓ avg 600ms
Headshot accuracy17.7%+1.0%
first ⅓ avg 16.7% → last ⅓ avg 17.7%

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

0.12Best rating — nuke 13–4
131Biggest win — nuke
5Longest win streak
49In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 63% over 27cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeA27171063%0.03
infernoC1761135%-0.01
mirageC1661038%-0.00
anubisA169756%0.00
ancientC94544%-0.02
dust2C73443%-0.02
cacheD51420%-0.02
vertigo21150%0.08
overpass110100%0.10

Across the last 100 tracked matches.

Faceit stats

Combat

195Matches
52%Win rate
1.09Avg K/D
87.3ADR
46%Headshot %

Clutches & streaks

43%1v1 clutch win
29%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage5953%1.1318.5
Nuke3858%1.2420.2
Inferno3450%1.1417.8
Dust22348%0.9716.2
Ancient2148%0.8615.2
Anubis1258%1.0618.8
Overpass540%0.7513.8
Train367%1.0915.3

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.

17.6%Headshot accuracy
33.0%Accuracy (enemy spotted)
36.2%Spray accuracy
70.0%Counter-strafing
11.0°Preaim
589msReaction time
34.1%T opening success
44.5%CT opening success
0.25Enemies flashed / flash
1.9%Flash assists
11.80HE damage / grenade
1.11Flashes / 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 0.2525 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 34.0697% — below the 40% mark we flag

Spend your practice time on Cache

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
nuke13–90.0319%29 Aug
mirage5–130.0011%25 Aug
cache2–11-0.0920%16 Aug
ancient13–11-0.0116%14 Aug
mirage16–12-0.0222%11 Aug
cache13–90.0322%10 Jul
inferno6–130.0414%29 Jun
anubis11–130.0018%26 Jun
anubis13–100.0517%26 Jun
mirage5–13-0.0318%25 Jun
nuke11–130.0317%25 Jun
mirage11–130.019%25 Jun
inferno13–9-0.0219%25 Jun
nuke9–130.0619%24 Jun
cache12–12-0.0411%24 Jun
dust28–130.0512%23 Jun
nuke12–120.0614%23 Jun
mirage7–13-0.0521%23 Jun
cache7–13-0.0115%23 Jun
inferno4–130.0124%22 Jun
dust23–13-0.1013%21 Jun
anubis5–13-0.0423%21 Jun
inferno9–13-0.0419%21 Jun
nuke7–13-0.0315%21 Jun
dust213–50.0117%20 Jun
inferno13–40.0129%20 Jun
nuke13–80.0422%20 Jun
inferno8–13-0.0627%19 Jun
anubis13–90.0412%19 Jun
dust210–13-0.0419%19 Jun
anubis13–8-0.0313%18 Jun
dust213–8-0.0515%18 Jun
inferno6–13-0.0826%18 Jun
mirage10–130.0410%18 Jun
cache9–13-0.0114%17 Jun
nuke12–12-0.0312%17 Jun
nuke0–70.0429%17 Jun
mirage14–16-0.0418%17 Jun
anubis16–140.0215%17 Jun
nuke13–50.0425%17 Jun
nuke13–60.0723%16 Jun
nuke13–20.019%16 Jun
mirage16–13-0.0111%16 Jun
ancient9–130.0414%16 Jun
inferno11–13-0.0121%15 Jun
ancient13–6-0.0015%15 Jun
anubis13–80.0418%15 Jun
mirage13–60.0716%15 Jun
ancient3–13-0.0610%14 Jun
inferno8–130.0315%14 Jun
nuke13–50.0620%14 Jun
inferno6–130.0222%14 Jun
nuke13–90.0016%14 Jun
nuke13–60.0619%14 Jun
nuke13–10.0613%14 Jun
nuke14–16-0.0512%13 Jun
ancient13–9-0.0611%13 Jun
anubis10–13-0.0213%12 Jun
inferno13–10-0.0123%12 Jun
mirage16–120.0623%11 Jun
inferno7–13-0.0118%11 Jun
nuke13–90.0420%10 Jun
nuke13–20.0125%10 Jun
vertigo13–50.1020%9 Jun
vertigo6–130.0626%9 Jun
nuke4–13-0.0419%8 Jun
anubis9–130.0017%8 Jun
overpass13–40.1020%8 Jun
mirage10–13-0.0315%8 Jun
anubis13–160.0216%7 Jun
inferno11–130.0210%7 Jun
mirage13–70.0714%7 Jun
anubis13–80.0314%7 Jun
nuke13–60.0613%7 Jun
ancient12–16-0.0712%7 Jun
anubis13–100.0013%6 Jun
nuke13–60.0522%6 Jun
nuke13–40.1220%6 Jun
nuke13–80.0915%5 Jun
anubis8–13-0.0417%4 Jun
mirage2–13-0.0125%3 Jun
inferno13–70.0115%3 Jun
mirage11–13-0.0617%3 Jun
inferno13–9-0.0121%3 Jun
mirage10–13-0.0318%3 Jun
nuke13–100.0116%2 Jun
nuke7–13-0.0427%2 Jun
anubis13–70.0313%2 Jun
inferno13–9-0.0322%2 Jun
mirage13–10-0.0118%1 Jun
nuke4–13-0.0318%1 Jun
ancient6–13-0.0110%1 Jun
dust213–10-0.0215%31 May
nuke13–11-0.0113%31 May
anubis7–13-0.0224%31 May
inferno6–13-0.0510%31 May
anubis13–11-0.0116%31 May
ancient4–13-0.039%30 May
dust211–130.0227%30 May
ancient13–4-0.0219%30 May

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 →