bananas — CS2 Stats

76561198834076983[U:1:873811255]

207Tracked matches52%Win rate2020Tracked since
713Hours in CS4Hrs last 2 wks
CSDB Rating3.4 Learning
Ladder ranks via Leetify

Performance scores

Aim19
Positioning34
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY46477Last 10046%Win rateWTLLWWLWWL

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

Player DNA

Aim1.9
Aggression1.7
Utility5.1
Positioning3.4
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 64% playstyle similarity

Most alike: utility contribution, opening-duel success.

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. 729ms 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

Aim1.9
Positioning3.4
Utility5.1
Mechanics5.2
Opening Duels0.0
Win Impact5.6

Composite 3.4/10 (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-0.06−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.06
Reaction time735ms−48ms
first ⅓ avg 783ms → last ⅓ avg 735ms
Headshot accuracy17.1%−3.1%
first ⅓ avg 20.2% → last ⅓ avg 17.1%

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

0.13Best rating — anubis 13–10
130Biggest win — train
4Longest win streak
83In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 64% over 14nukeWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B38182047%-0.06
mirageA149564%-0.04
nukeD102820%-0.05
anubisA95456%-0.04
infernoB84450%-0.05
ancientC83538%-0.06
office41325%-0.03
overpass32167%-0.03
train31233%-0.08
cache21150%-0.02
vertigo1010%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,813Lifetime kills
0.68K/D
963Matches
30.0%Match win rate
37.0%Headshot %
13.1%Shot accuracy · Top 50% of tracked players
1,045MVPs
359Hours (in match)
932Bombs planted
120Bombs defused

Most-used weapons

Lifetime map wins

2,429dust2
1,376inferno
399nuke
258vertigo
140train
65office
13cbble
12italy

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.

17.0%Headshot accuracy
24.6%Accuracy (enemy spotted)
24.4%Spray accuracy
73.3%Counter-strafing
12.4°Preaim
729msReaction time
20.0%T opening success
28.9%CT opening success
0.60Enemies flashed / flash
3.4%Flash assists
6.79HE damage / grenade
8.86Flashes / 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 12.3531° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 728.741ms — above the 700ms mark we flag

    Aim Training
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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–9-0.028%30 Aug
nuke12–12-0.0620%30 Aug
nuke10–13-0.0421%22 Aug
dust25–13-0.0518%22 Aug
ancient13–10-0.0410%22 Aug
dust213–6-0.1124%2 Aug
anubis8–13-0.0627%1 Aug
dust213–8-0.0817%1 Aug
ancient13–11-0.0711%1 Aug
ancient6–13-0.0817%26 Jul
nuke1–13-0.0921%26 Jul
cache13–7-0.0520%25 Jul
anubis13–10-0.0615%25 Jul
ancient13–7-0.0811%25 Jul
dust23–13-0.0524%25 Jul
inferno12–12-0.1023%14 Jun
dust213–6-0.0911%14 Jun
anubis13–10-0.0411%14 Jun
inferno13–60.0021%14 Jun
nuke12–12-0.0617%14 Jun
dust24–13-0.1018%14 Jun
mirage4–13-0.1024%13 Jun
ancient10–13-0.0319%13 Jun
overpass13–11-0.0416%13 Jun
inferno1–13-0.075%7 Jun
dust24–13-0.0813%7 Jun
mirage13–7-0.0012%7 Jun
dust211–13-0.0618%5 Jun
nuke11–130.0019%5 Jun
nuke13–6-0.0522%31 May
dust210–13-0.0516%31 May
nuke13–2-0.0914%31 May
dust213–5-0.0322%30 May
mirage13–9-0.078%30 May
cache3–130.0024%30 May
dust210–13-0.0615%24 May
office13–7-0.0111%23 May
office2–13-0.0922%23 May
mirage13–8-0.027%16 Sept
dust213–70.0327%16 Sept
train13–0-0.0320%14 Sept
train6–13-0.126%14 Sept
inferno7–13-0.0920%8 Sept
nuke9–13-0.1123%7 Sept
dust28–13-0.0312%1 Sept
nuke6–130.0417%1 Sept
mirage13–40.0418%31 Aug
dust24–13-0.0610%29 Aug
dust213–8-0.0623%29 Aug
dust213–110.0230%16 Aug
anubis13–1-0.0340%6 Aug
overpass12–12-0.0515%1 Aug
mirage13–4-0.049%1 Aug
dust210–13-0.0423%1 Aug
mirage5–13-0.0318%6 Jul
ancient5–13-0.0320%6 Jul
inferno8–8-0.0627%6 Jul
train4–13-0.0919%12 Apr
dust27–13-0.0613%12 Apr
dust210–13-0.1016%9 Nov
mirage9–13-0.0114%4 Nov
dust213–3-0.0910%26 Oct
dust29–0-0.0713%26 Oct
ancient9–13-0.0831%26 Oct
dust23–13-0.1033%20 Oct
mirage13–10-0.0323%20 Oct
nuke12–12-0.0814%20 Oct
inferno13–4-0.0617%20 Oct
anubis3–13-0.0539%20 Oct
dust211–10-0.0428%19 Oct
dust213–6-0.0419%19 Oct
anubis5–13-0.1118%19 Oct
vertigo10–13-0.0228%19 Oct
anubis13–100.1326%15 Oct
dust22–0-0.000%15 Oct
dust213–30.0333%15 Oct
dust211–13-0.0917%5 Oct
ancient6–13-0.0520%5 Oct
inferno13–70.0216%5 Oct
mirage13–11-0.0217%5 Oct
mirage13–9-0.0217%29 Sept
anubis13–11-0.0313%29 Sept
dust28–13-0.148%28 Sept
dust28–13-0.0819%28 Sept
mirage6–13-0.113%28 Sept
dust213–5-0.0527%27 Sept
dust25–2-0.0833%27 Sept
mirage13–7-0.0217%27 Sept
dust28–130.0234%27 Sept
overpass13–5-0.0023%27 Sept
mirage8–13-0.135%27 Sept
dust213–7-0.0623%27 Sept
dust213–8-0.1223%7 Sept
dust28–13-0.0918%4 Sept
dust213–11-0.0813%1 Sept
dust23–13-0.0528%31 Aug
office12–12-0.0219%31 Aug
office8–13-0.0020%31 Aug
dust210–13-0.0332%31 Aug
anubis4–13-0.0813%24 Aug

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 →