fisher-1- — CS2 Stats

76561197991812874[U:1:31547146]

2,397Tracked matches57%Win rate2020Tracked since
CSDB Rating7.5 StrongAggressive Rifler
FaceitLevel 10 · 3,066 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGfisher-1-FACEITLevel 10 · 3,066 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim83
Positioning67
Utility69

0–100 skill scores via Leetify.

Recent form

HOT58384Last 10058%Win rateWWWWLWWLLW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

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

Aim8.3
Aggression9.3
Utility6.9
Positioning6.7
Opening Duels4.5
Clutch3.8

Strong CT-side opener

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

jL

Plays most like jL 96% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.3° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 61% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 577ms 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

Aim8.3
Positioning6.7
Utility6.9
Mechanics7.3
Opening Duels4.5
Win Impact7.2

Composite 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.03
first ⅓ avg 0.06 → last ⅓ avg 0.03
Reaction time583ms−47ms
first ⅓ avg 631ms → last ⅓ avg 583ms
Headshot accuracy26.8%−3.3%
first ⅓ avg 30.0% → last ⅓ avg 26.8%

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

0.23Best rating — dust2 13–4
130Biggest win — dust2
6Longest win streak
W4Current streak
106In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 78% over 9mirageWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A45271860%0.06
anubisB178947%0.03
infernoA117464%0.03
ancientS97278%0.04
mirageD72529%0.04
cacheA53260%0.04
nuke32167%-0.02
overpass32167%0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,897Matches
54%Win rate
1.30Avg K/D
84.5ADR
58%Headshot %

Clutches & streaks

39%1v1 clutch win
24%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust241753%1.3017.7
Mirage26847%1.1516.3
Anubis19753%1.2918.0
Inferno18165%1.4017.9
Ancient15150%1.2717.1
Nuke7842%1.1417.4
Overpass5435%1.2519.6
Train5048%1.4719.4

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.

26.1%Headshot accuracy
36.3%Accuracy (enemy spotted)
39.3%Spray accuracy
82.9%Counter-strafing
10.3°Preaim
577msReaction time
34.8%T opening success
60.9%CT opening success
0.55Enemies flashed / flash
10.1%Flash assists
9.89HE damage / grenade
15.67Flashes / 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 34.8183% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–100.0117%26 Aug
dust213–90.0227%9 Aug
inferno13–60.0628%31 Jul
anubis13–40.1528%29 Jul
anubis7–13-0.0534%1 Jul
ancient13–110.0524%19 Jun
ancient13–10.0035%19 Jun
anubis4–13-0.0019%13 Jun
mirage5–13-0.0421%12 Jun
ancient13–110.1030%10 Jun
inferno8–20.0931%10 Jun
ancient13–110.0912%10 Jun
inferno11–13-0.0226%10 Jun
nuke13–8-0.0632%8 Jun
dust213–40.0245%8 Jun
ancient10–130.0133%8 Jun
dust210–130.0432%4 Jun
mirage13–20.0629%4 Jun
anubis4–130.0419%3 Jun
dust28–130.0323%3 Jun
anubis13–100.0619%3 Jun
mirage5–13-0.0322%3 Jun
ancient9–13-0.0222%2 Jun
cache14–16-0.0327%1 Jun
anubis6–13-0.0521%31 May
dust213–50.0333%28 May
ancient13–60.0431%28 May
anubis13–70.1017%25 May
dust27–130.0036%25 May
nuke13–70.0320%24 May
inferno19–170.0226%22 May
anubis13–70.0335%20 May
dust213–70.0529%20 May
dust213–60.0936%20 May
dust213–50.0233%20 May
inferno5–13-0.0523%20 May
dust24–13-0.0330%14 May
overpass10–130.0832%14 May
inferno13–60.1231%13 May
dust216–190.0528%13 May
inferno13–80.0531%13 May
dust213–110.0124%11 May
dust215–19-0.0338%11 May
dust210–13-0.0157%11 May
mirage7–130.1033%11 May
dust213–100.0938%11 May
anubis10–130.0321%8 May
mirage8–130.1024%6 May
dust213–90.1130%6 May
cache13–110.0534%6 May
cache13–60.1238%6 May
anubis13–10-0.0034%6 May
dust211–130.0220%5 May
dust211–130.0620%5 May
mirage13–70.1238%5 May
ancient13–60.0020%1 May
dust210–13-0.0030%30 Apr
cache9–130.0327%30 Apr
inferno13–110.0316%29 Apr
dust213–100.0530%24 Apr
dust216–130.0324%22 Apr
inferno6–130.0536%21 Apr
dust212–120.1045%20 Apr
dust21–130.0525%19 Apr
dust213–40.0725%19 Apr
dust211–130.1320%19 Apr
dust213–110.0743%18 Apr
dust213–80.1534%18 Apr
overpass13–20.1333%17 Apr
anubis13–40.1127%17 Apr
dust213–9-0.0338%16 Apr
dust212–120.1132%16 Apr
overpass13–110.0129%16 Apr
anubis13–160.0430%16 Apr
dust213–100.0922%15 Apr
inferno13–80.0519%15 Apr
anubis13–9-0.0217%14 Apr
dust213–90.0440%14 Apr
ancient13–70.0621%13 Apr
anubis7–130.0436%12 Apr
dust217–19-0.0422%12 Apr
dust213–70.0720%11 Apr
dust26–13-0.0337%11 Apr
dust219–17-0.0329%10 Apr
nuke10–13-0.0433%10 Apr
dust213–00.0458%9 Apr
dust213–20.0526%9 Apr
dust23–130.0731%9 Apr
dust213–10.2129%9 Apr
dust212–120.0136%9 Apr
dust213–80.1332%8 Apr
dust213–40.2338%8 Apr
dust213–30.1328%8 Apr
dust213–60.1826%8 Apr
dust213–100.0722%8 Apr
anubis13–80.0924%6 Apr
inferno15–15-0.0233%6 Apr
anubis8–13-0.0218%6 Apr
mirage8–13-0.0347%6 Apr
anubis5–13-0.0624%2 Apr

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches
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