Banana Toes

Banana Toes — CS2 Stats

76561198274428205[U:1:314162477]Steam profile ↗

41Tracked matches37%Win rate2022Tracked since
CSDB Rating3.8 Learning
Ladder ranks via Leetify

Performance scores

Aim42
Positioning43
Utility43

0–100 skill scores via Leetify.

Recent form

COLD18221Last 4144%Win rateWWLLLLLLLL

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

Aim4.2
Aggression5.2
Utility4.3
Positioning4.3
Opening Duels1.0

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 79% 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

T-side openings. Opening success drops from 44% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 665ms 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

Aim4.2
Positioning4.3
Utility4.3
Mechanics5.6
Opening Duels1.8
Win Impact0.6

Composite 3.8/10 (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-0.04−0.03
first ⅓ avg -0.01 → last ⅓ avg -0.04
Reaction time692ms−10ms
first ⅓ avg 701ms → last ⅓ avg 692ms
Headshot accuracy9.1%+1.8%
first ⅓ avg 7.3% → last ⅓ avg 9.1%

Rolling 5-match average across the last 41 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.08Best rating — anubis 13–11
130Biggest win — cache
6Longest win streak
W2Current streak
84In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 83% over 6ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
anubisC83538%-0.03
nukeC83538%-0.03
ancientD82625%-0.02
cacheS65183%-0.02
inferno43175%-0.04
overpass31233%-0.03
dust22020%-0.01
mirage21150%0.05

Across the last 41 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient 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.

9.5%Headshot accuracy
35.3%Accuracy (enemy spotted)
40.3%Spray accuracy
75.1%Counter-strafing
12.5°Preaim
665msReaction time
23.6%T opening success
44.2%CT opening success
0.52Enemies flashed / flash
3.8%Flash assists
6.28HE damage / grenade
4.89Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.4756° — above the 12° mark we flag

    Aim Training
  2. 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 9.4867% — below the 15% mark we flag

    Aim Training
Spend your practice time on Ancient

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–70.017%1 Aug
cache13–11-0.044%1 Aug
anubis6–13-0.094%25 Jul
nuke9–13-0.0413%25 Jul
nuke14–16-0.0212%25 Jul
inferno10–13-0.1311%25 Jul
nuke11–13-0.059%25 Jul
anubis8–130.023%25 Jul
anubis7–13-0.087%24 Jul
nuke11–13-0.048%24 Jul
cache13–70.0210%24 Jul
anubis4–13-0.0014%24 Jul
ancient0–13-0.1016%24 Jul
ancient4–13-0.0517%24 Jul
ancient13–10.020%23 Jul
cache13–11-0.068%23 Jul
cache0–13-0.000%23 Jul
cache13–00.0023%23 Jul
inferno13–11-0.0014%21 Jul
nuke9–13-0.0211%24 Jun
nuke16–14-0.048%24 Jun
anubis13–110.0816%22 Jun
overpass10–13-0.018%17 Jun
ancient13–11-0.017%17 Jun
dust29–130.008%16 Jun
anubis6–13-0.0716%16 Jun
inferno13–7-0.006%16 Jun
ancient6–13-0.045%16 Jun
ancient10–130.0211%15 Jun
ancient11–130.046%15 Jun
dust210–13-0.027%8 Jun
nuke13–80.016%6 Jun
overpass15–15-0.0412%6 Jun
ancient7–13-0.039%5 Jun
overpass13–9-0.0311%5 Jun
anubis13–11-0.0610%12 Apr
inferno16–13-0.027%12 Apr
nuke9–7-0.057%2 Sept
cache9–2-0.050%13 Sept
mirage9–30.052%11 Sept
mirage6–90.067%11 Sept

Match data via Leetify.

Recent teammates

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