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BananaMan — CS2 Stats

76561198116890710[U:1:156624982]

817Tracked matches48%Win rate2020Tracked since
CSDB Rating3.2 Learning
Ladder ranks via Leetify

Performance scores

Aim42
Positioning29
Utility23

0–100 skill scores via Leetify.

Recent form

STEADY42–48–10Last 10042%Win rateWLLWLLLWLW

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

Aim4.2
Aggression0.5
Utility2.3
Positioning2.9
Opening Duels0.0

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 63% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; 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. 643ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim4.2
Positioning2.9
Utility2.3
Mechanics3.9
Opening Duels0.0
Win Impact4.4

Composite 3.2/10 (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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time628ms−79ms
first ⅓ avg 707ms → last ⅓ avg 628ms
Headshot accuracy13.4%+0.3%
first ⅓ avg 13.1% → last ⅓ avg 13.4%

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 — cache 13–2
13–0Biggest win — train
7Longest win streak
7–5In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 55% over 22dust2Weakest map · 41% over 29
MapGradePlayedRecordWin rateAvg rating
dust2C2912–1741%-0.03
cacheA2212–1055%-0.03
mirageC198–1142%-0.03
infernoB126–650%-0.04
train—31–233%-0.02
anubis—32–167%-0.01
ancient—31–233%-0.04
nuke—30–30%-0.04
overpass—30–30%-0.07
vertigo—10–10%-0.01
fachwerk—10–10%0.02
office—10–10%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (41% over 29). Start with the 6 essential Dust 2 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.

13.8%Headshot accuracy
35.0%Accuracy (enemy spotted)
32.2%Spray accuracy
67.7%Counter-strafing
11.2°Preaim
643msReaction time
26.2%T opening success
13.0%CT opening success
0.28Enemies flashed / flash
0.0%Flash assists
5.78HE damage / grenade
2.36Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.7702% — below the 15% mark we flag

    Aim Training →
  2. 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 0.2782 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 26.1904% — 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.

41% win rate across 29 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–20.0412%28 Aug →
train7–13-0.0521%28 Aug →
cache3–13-0.064%27 Aug →
cache13–4-0.0517%26 Aug →
anubis3–13-0.052%26 Aug →
dust210–13-0.0520%25 Aug →
inferno9–13-0.0610%24 Aug →
dust26–4-0.077%24 Aug →
ancient6–13-0.0615%23 Aug →
dust213–80.0617%23 Aug →
dust28–10.0535%22 Aug →
cache13–4-0.0114%22 Aug →
mirage7–13-0.0111%20 Aug →
inferno13–9-0.0711%20 Aug →
cache13–20.1213%20 Aug →
dust212–12-0.0310%18 Aug →
mirage12–12-0.038%17 Aug →
dust213–110.0517%17 Aug →
dust25–13-0.1014%17 Aug →
inferno13–7-0.0215%17 Aug →
nuke11–13-0.0012%13 Aug →
inferno9–13-0.082%13 Aug →
dust29–130.0029%11 Aug →
dust213–6-0.0421%10 Aug →
inferno8–13-0.0411%4 Aug →
dust213–110.0012%2 Aug →
inferno13–30.0010%31 Jul →
dust212–12-0.0318%31 Jul →
cache10–13-0.0322%30 Jul →
cache8–13-0.034%30 Jul →
mirage13–10-0.039%30 Jul →
dust22–00.000%30 Jul →
dust213–5-0.0416%28 Jul →
mirage13–3-0.0310%28 Jul →
ancient13–10-0.026%28 Jul →
anubis13–11-0.045%28 Jul →
mirage13–9-0.060%24 Jul →
vertigo9–13-0.019%24 Jul →
mirage6–13-0.075%23 Jul →
dust213–4-0.036%23 Jul →
mirage12–12-0.0616%19 Jul →
dust25–13-0.0511%19 Jul →
dust24–13-0.1013%19 Jul →
nuke12–12-0.068%17 Jul →
dust28–13-0.064%17 Jul →
inferno6–13-0.102%17 Jul →
inferno13–7-0.0015%16 Jul →
mirage8–13-0.057%16 Jul →
train10–13-0.018%14 Jul →
mirage10–70.0112%11 Jul →
anubis13–30.0620%11 Jul →
inferno13–7-0.028%10 Jul →
fachwerk11–130.0223%10 Jul →
dust210–13-0.0515%9 Jul →
inferno6–13-0.0423%9 Jul →
ancient5–13-0.037%9 Jul →
dust29–130.0211%9 Jul →
mirage6–13-0.0518%8 Jul →
nuke11–13-0.0712%8 Jul →
mirage12–12-0.059%6 Jul →
office11–13-0.053%5 Jul →
dust28–130.006%5 Jul →
mirage13–90.0115%4 Jul →
dust213–5-0.0610%4 Jul →
mirage13–11-0.019%3 Jul →
dust22–13-0.0919%3 Jul →
dust26–13-0.0119%2 Jul →
dust212–120.0117%21 Jun →
inferno13–3-0.024%21 Jun →
overpass5–13-0.094%14 Jun →
train13–00.000%14 Jun →
dust210–13-0.077%9 Jun →
cache7–13-0.0611%5 Jun →
mirage9–13-0.0513%5 Jun →
dust27–13-0.0415%2 Jun →
cache12–120.0010%1 Jun →
inferno9–13-0.069%1 Jun →
dust211–13-0.0523%30 May →
mirage13–10-0.0115%29 May →
mirage6–13-0.0113%27 May →
overpass2–13-0.0711%27 May →
cache12–3-0.0815%27 May →
cache13–40.0613%26 May →
mirage12–120.0219%26 May →
dust213–3-0.018%25 May →
cache9–13-0.0822%25 May →
dust213–5-0.0614%23 May →
overpass9–13-0.0412%22 May →
cache13–9-0.0814%20 May →
cache5–13-0.098%18 May →
mirage7–13-0.0512%18 May →
cache8–2-0.0425%18 May →
cache13–10-0.0411%17 May →
cache13–80.0615%17 May →
cache2–13-0.0824%17 May →
cache13–4-0.0218%17 May →
cache13–3-0.0417%17 May →
cache12–12-0.068%16 May →
cache13–110.0212%12 May →
cache7–13-0.0513%12 May →

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 →

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