Big Fish

Big Fish — CS2 Stats

CA76561199813380864[U:1:1853115136]Steam profile ↗✓ No bans

657Tracked matches67%Win rate2025Tracked since
679Hours in CS7Hrs last 2 wks
CSDB Rating6.9 SolidAggressive Rifler
WingmanSilver Elite
Ladder ranks via Leetify

Performance scores

Aim81
Positioning66
Utility24

0–100 skill scores via Leetify.

Recent form

STEADY50419Last 10050%Win rateWWWLWWTLWL

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.1
Aggression8.7
Utility2.4
Positioning6.6
Opening Duels4.4

Excellent counter-strafing

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

donk

Plays most like donk 87% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Strengths

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 626ms 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

Aim8.1
Positioning6.6
Utility2.4
Mechanics9.3
Opening Duels4.4
Win Impact10.0

Composite 6.9/10 (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 rating0.03−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time629ms−91ms
first ⅓ avg 720ms → last ⅓ avg 629ms
Headshot accuracy21.3%+1.2%
first ⅓ avg 20.1% → last ⅓ avg 21.3%

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

0.49Best rating — inferno 9–0
130Biggest win — mirage
5Longest win streak
W3Current streak
126In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 78% over 9nukeWeakest map · 39% over 18
MapGradePlayedRecordWin rateAvg rating
infernoC24101442%0.03
dust2B22111150%0.02
nukeC1871139%0.02
mirageB189950%0.02
ancientS97278%0.03
train330100%-0.00
anubis31233%-0.03
boulder110100%-0.03
alpine1010%0.06
cache110100%0.14

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,456Lifetime kills
1.27K/D · Top 25% of tracked players
1,266Matches
45.8%Match win rate · Top 50% of tracked players
60.5%Headshot % · Top 10% of tracked players
0.0%Shot accuracy
3,780MVPs
441Hours (in match)
831Bombs planted
300Bombs defused

Most-used weapons

Lifetime map wins

2,687dust2
1,920nuke
1,488inferno
478train
258vertigo
124office
20italy
2ar_baggage

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

21.9%Headshot accuracy
36.7%Accuracy (enemy spotted)
38.5%Spray accuracy
91.8%Counter-strafing
10.2°Preaim
626msReaction time
43.2%T opening success
51.9%CT opening success
0.36Enemies flashed / flash
7.4%Flash assists
4.07HE damage / grenade
7.11Flashes / 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 0.3573 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Nuke

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

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–60.0813%29 Aug
dust213–50.0418%29 Aug
inferno9–60.0221%29 Aug
dust26–130.0121%22 Aug
ancient13–100.0819%22 Aug
nuke9–6-0.0316%19 Aug
inferno8–80.0127%19 Aug
inferno11–13-0.0122%19 Aug
dust213–20.0428%16 Aug
mirage12–160.0022%16 Aug
dust212–120.1420%15 Aug
train6–3-0.1314%15 Aug
nuke13–60.1318%15 Aug
dust28–130.0125%15 Aug
dust216–130.0122%15 Aug
nuke8–80.0618%13 Aug
nuke13–90.0724%12 Aug
dust213–40.0311%12 Aug
mirage9–13-0.0220%11 Aug
dust24–13-0.0219%31 Jul
nuke12–120.0519%15 Jul
dust213–60.0420%15 Jul
inferno8–13-0.0230%15 Jul
nuke13–50.0414%11 Jul
ancient13–80.0639%10 Jul
mirage10–130.0221%9 Jul
boulder13–11-0.0320%9 Jul
mirage13–11-0.0419%8 Jul
mirage13–60.0825%8 Jul
mirage13–110.0619%8 Jul
nuke12–120.0523%8 Jul
train13–110.0221%7 Jul
inferno13–90.0932%7 Jul
alpine10–130.0630%6 Jul
ancient9–130.1513%6 Jul
dust213–20.0114%6 Jul
dust29–13-0.0128%5 Jul
anubis13–20.0729%4 Jul
dust210–13-0.0125%4 Jul
mirage8–13-0.0115%3 Jul
dust211–130.0520%2 Jul
dust26–13-0.0620%2 Jul
anubis13–16-0.0633%1 Jul
nuke10–13-0.0026%1 Jul
mirage13–80.0325%1 Jul
nuke13–110.0023%1 Jul
dust211–13-0.0715%1 Jul
anubis2–13-0.1111%1 Jul
dust213–110.0423%1 Jul
mirage4–13-0.0611%1 Jul
mirage16–140.0226%1 Jul
nuke13–70.0420%1 Jul
nuke0–13-0.1317%1 Jul
nuke15–150.0322%30 Jun
nuke13–20.0333%30 Jun
ancient13–50.0715%30 Jun
inferno13–11-0.0313%30 Jun
inferno13–40.0628%30 Jun
inferno6–130.0744%29 Jun
dust213–50.0428%28 Jun
ancient6–13-0.0221%25 Jun
mirage13–10-0.0313%24 Jun
mirage13–100.0725%23 Jun
mirage13–00.0520%23 Jun
ancient16–14-0.0414%22 Jun
inferno11–13-0.0422%20 Jun
dust213–11-0.0214%19 Jun
inferno9–00.4943%19 Jun
inferno4–9-0.1043%19 Jun
nuke7–9-0.0013%18 Jun
ancient13–3-0.0533%18 Jun
mirage15–150.0614%17 Jun
mirage5–130.0410%17 Jun
mirage6–13-0.0029%17 Jun
train13–110.1029%17 Jun
ancient13–100.0215%16 Jun
inferno4–90.0018%16 Jun
dust27–130.0127%16 Jun
inferno5–9-0.134%16 Jun
inferno9–50.138%15 Jun
inferno8–8-0.068%15 Jun
inferno4–9-0.1213%15 Jun
inferno5–90.0167%15 Jun
nuke3–9-0.0317%14 Jun
inferno13–80.049%14 Jun
mirage2–13-0.1110%14 Jun
nuke5–90.0318%14 Jun
inferno9–40.1424%14 Jun
nuke5–90.0323%14 Jun
inferno5–90.0919%14 Jun
inferno6–9-0.020%14 Jun
nuke6–9-0.0713%14 Jun
inferno7–90.0311%14 Jun
cache13–50.1421%14 Jun
dust213–70.1030%14 Jun
dust213–60.1210%13 Jun
ancient13–110.0219%13 Jun
inferno13–30.0527%12 Jun
dust215–150.0416%12 Jun
mirage13–70.1322%12 Jun

Match data via Leetify.

Recent teammates

Milestones

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