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Bish

Bish — CS2 Stats

76561198318567137[U:1:358301409]Steam profile ↗

296Tracked matches50%Win rate2020Tracked since
CSDB Rating4.1 Developing
Premier CS Rating11,537Blue band · top ~46.8% of ranked players (population est.)
CSDB Leaderboard#15307 of 21479 tracked
Ladder ranks via Leetify

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CSDB.GGBishPREMIER11,537 · Blue bandcsdb.gg/stats

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Performance scores

Aim54
Positioning44
Utility33

0–100 skill scores via Leetify.

Recent form

COLD39–57–4Last 10039%Win rateLWLLWLWLLL

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

Player DNA

Aim5.4
Aggression5.0
Utility3.3
Positioning4.4
Opening Duels0.6

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 80% playstyle similarity

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

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. 618ms 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

Aim5.4
Positioning4.4
Utility3.3
Mechanics5.1
Opening Duels0.6
Win Impact5.0

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.03
first ⅓ avg -0.05 → last ⅓ avg -0.02
Reaction time620ms−110ms
first ⅓ avg 730ms → last ⅓ avg 620ms
Headshot accuracy17.7%−2.4%
first ⅓ avg 20.1% → 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 — inferno 3–0
13–2Biggest win — dust2
3Longest win streak
6–10In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 52% over 23infernoWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B2312–1152%-0.02
ancientC176–1135%-0.03
mirageD154–1127%-0.03
infernoD133–1023%-0.03
anubisB105–550%-0.04
cacheC104–640%-0.02
overpassD82–625%-0.04
nuke—43–175%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

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

17.3%Headshot accuracy
30.0%Accuracy (enemy spotted)
35.0%Spray accuracy
73.0%Counter-strafing
9.1°Preaim
618msReaction time
33.1%T opening success
31.6%CT opening success
0.39Enemies flashed / flash
6.6%Flash assists
9.46HE damage / grenade
2.83Flashes / 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 0.3946 — 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 33.0947% — below the 40% mark we flag

Spend your practice time on Inferno

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust23–13-0.0215%28 Aug →
anubis13–90.0612%27 Aug →
dust22–13-0.1011%23 Aug →
mirage6–13-0.0129%23 Aug →
anubis13–5-0.0312%23 Aug →
inferno1–13-0.0817%23 Aug →
dust213–20.0219%23 Aug →
dust211–130.0119%23 Aug →
cache3–13-0.0321%23 Aug →
mirage2–13-0.0913%22 Aug →
ancient13–100.0423%22 Aug →
cache6–13-0.0525%21 Aug →
dust213–70.0015%20 Aug →
dust29–130.0213%17 Aug →
cache13–8-0.028%17 Aug →
inferno13–5-0.0425%17 Aug →
ancient13–2-0.0426%17 Aug →
anubis5–13-0.0913%16 Aug →
ancient13–40.0521%16 Aug →
dust216–14-0.0220%9 Aug →
ancient9–13-0.0212%9 Aug →
ancient13–110.006%9 Aug →
dust215–15-0.0516%9 Aug →
inferno7–13-0.0511%4 Aug →
cache13–11-0.0117%3 Aug →
ancient13–16-0.0222%3 Aug →
mirage13–100.0210%27 Jul →
cache12–12-0.0222%6 May →
cache9–13-0.0136%3 May →
cache13–8-0.019%3 May →
inferno2–13-0.0425%2 May →
cache9–13-0.0511%2 May →
cache13–70.0629%28 Apr →
cache9–13-0.0024%28 Apr →
dust213–7-0.0617%27 Apr →
anubis6–13-0.0616%24 Apr →
mirage13–30.0113%22 Apr →
inferno3–13-0.0140%22 Apr →
dust23–13-0.0630%22 Apr →
anubis5–13-0.0914%21 Apr →
ancient13–70.0527%21 Apr →
dust213–2-0.0327%19 Apr →
mirage13–50.1234%19 Apr →
dust211–13-0.0333%18 Apr →
inferno11–13-0.0420%9 Apr →
mirage8–13-0.0815%8 Apr →
inferno6–13-0.0310%8 Apr →
ancient3–13-0.0621%8 Apr →
ancient13–16-0.0511%6 Apr →
ancient11–13-0.0310%6 Apr →
mirage6–13-0.0821%5 Apr →
anubis13–40.115%5 Apr →
dust213–100.1019%5 Apr →
ancient8–13-0.0313%5 Apr →
mirage15–150.0314%5 Apr →
inferno3–00.1233%5 Apr →
nuke0–7-0.0233%5 Apr →
overpass15–15-0.0515%5 Apr →
overpass16–14-0.0018%5 Apr →
mirage7–13-0.0416%5 Apr →
ancient13–11-0.0212%5 Apr →
dust27–13-0.0827%5 Apr →
mirage7–13-0.0219%4 Apr →
overpass6–13-0.0521%4 Apr →
dust213–6-0.0232%4 Apr →
ancient9–13-0.0133%4 Apr →
ancient6–13-0.0316%4 Apr →
dust25–130.0011%4 Apr →
dust214–16-0.0313%3 Apr →
overpass14–16-0.0515%3 Apr →
ancient4–13-0.113%3 Apr →
anubis13–9-0.0020%3 Apr →
inferno9–13-0.127%29 Mar →
anubis0–13-0.1367%28 Mar →
dust211–13-0.0826%27 Mar →
overpass13–9-0.0619%27 Mar →
anubis1–13-0.107%25 Mar →
dust213–7-0.0322%25 Mar →
mirage6–13-0.0314%24 Mar →
inferno8–13-0.0834%22 Mar →
mirage13–8-0.0623%22 Mar →
overpass12–16-0.0226%22 Mar →
ancient5–13-0.0650%22 Mar →
nuke13–8-0.0026%22 Mar →
inferno8–13-0.0613%18 Mar →
inferno9–13-0.0115%18 Mar →
ancient7–13-0.0821%11 Mar →
nuke13–10-0.0516%11 Mar →
overpass11–13-0.0218%11 Mar →
nuke13–10-0.0417%7 Mar →
anubis13–9-0.0718%7 Mar →
dust211–60.0712%4 Mar →
mirage11–13-0.0822%3 Mar →
dust216–14-0.0119%3 Mar →
dust213–5-0.0226%1 Mar →
mirage11–13-0.1314%1 Mar →
dust213–7-0.0214%1 Mar →
mirage7–13-0.0123%1 Mar →
overpass7–13-0.0917%26 Feb →
inferno13–40.0916%25 Feb →

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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