Black banana — CS2 Stats

76561198230750144[U:1:270484416]✓ No bans

736Tracked matches61%Win rate2022Tracked since
652Hours in CS2Hrs last 2 wks
CSDB Rating4.4 Developing
Ladder ranks via Leetify

Performance scores

Aim42
Positioning53
Utility25

0–100 skill scores via Leetify.

Recent form

STEADY54388Last 10054%Win rateWWTWLLWWTL

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

Player DNA

Aim4.2
Aggression5.4
Utility2.5
Positioning5.3
Opening Duels2.2

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-duel success, opening-fight frequency.

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. 690ms 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
Positioning5.3
Utility2.5
Mechanics3.9
Opening Duels2.2
Win Impact8.6

Composite 4.4/10 (Developing), 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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time694ms+61ms
first ⅓ avg 634ms → last ⅓ avg 694ms
Headshot accuracy14.1%+0.6%
first ⅓ avg 13.5% → last ⅓ avg 14.1%

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

0.12Best rating — nuke 13–3
131Biggest win — mirage
6Longest win streak
W2Current streak
68In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 70% over 23infernoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageA33181555%-0.01
dust2C28121643%-0.01
nukeS2316770%0.00
infernoC83538%-0.01
ancient43175%0.01
anubis21150%0.01
office110100%-0.01
train1010%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,877Lifetime kills
0.85K/D
1,012Matches
45.0%Match win rate
40.3%Headshot %
1.1%Shot accuracy
1,815MVPs
370Hours (in match)
1,542Bombs planted
224Bombs defused

Most-used weapons

Lifetime map wins

2,791dust2
1,604nuke
880inferno
210train
94vertigo
24office
10italy
6dust

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.

13.7%Headshot accuracy
33.1%Accuracy (enemy spotted)
40.8%Spray accuracy
67.5%Counter-strafing
10.8°Preaim
690msReaction time
31.3%T opening success
46.2%CT opening success
0.44Enemies flashed / flash
2.6%Flash assists
8.82HE damage / grenade
3.01Flashes / 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 13.7024% — 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 0.4358 — 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 31.2795% — 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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–7-0.0316%23 Aug
mirage10–4-0.0315%16 Aug
inferno12–120.0315%16 Aug
nuke13–9-0.0215%3 Aug
dust211–130.0134%26 Jul
dust22–13-0.1325%26 Jul
mirage13–10-0.0213%23 Jul
nuke13–90.0117%23 Jul
dust215–15-0.0311%18 Jul
mirage11–13-0.0120%11 Jul
nuke13–40.056%6 Jul
nuke16–14-0.0214%25 Apr
mirage13–8-0.0114%18 Apr
nuke2–13-0.0615%18 Apr
dust26–13-0.067%9 Apr
mirage6–130.0210%5 Apr
mirage13–9-0.0015%4 Apr
inferno13–10-0.027%4 Apr
mirage11–130.015%30 Mar
ancient13–10-0.0316%30 Mar
dust213–50.039%27 Mar
dust213–80.1110%24 Mar
inferno3–11-0.0228%22 Mar
nuke4–13-0.0614%22 Mar
dust213–6-0.0113%21 Mar
anubis11–130.0212%18 Mar
inferno6–13-0.057%18 Mar
nuke13–11-0.0411%15 Mar
mirage13–8-0.076%15 Mar
nuke13–9-0.0314%15 Mar
mirage13–10.0122%15 Mar
nuke13–11-0.0021%15 Mar
nuke13–70.028%13 Mar
mirage9–13-0.069%13 Mar
mirage13–70.0019%13 Mar
nuke4–130.0317%12 Mar
mirage13–4-0.0124%11 Mar
dust213–8-0.042%6 Mar
mirage13–7-0.0124%1 Mar
nuke13–70.1013%1 Mar
office13–6-0.010%28 Feb
train12–120.0112%28 Feb
ancient13–60.099%28 Feb
nuke7–130.0113%28 Feb
nuke13–90.0315%23 Feb
mirage13–50.0110%23 Feb
dust210–130.030%22 Feb
mirage13–50.0112%22 Feb
dust28–130.1015%21 Feb
mirage11–13-0.0120%21 Feb
ancient8–130.0110%20 Feb
mirage7–13-0.0316%16 Feb
mirage13–50.078%16 Feb
nuke13–50.048%16 Feb
nuke15–150.0213%15 Feb
dust26–130.0210%15 Feb
mirage13–60.0317%13 Feb
mirage12–120.016%12 Feb
mirage10–13-0.019%10 Feb
dust212–120.0514%8 Feb
dust23–13-0.0315%8 Feb
dust213–110.0512%7 Feb
dust213–7-0.0322%7 Feb
dust213–80.023%5 Feb
dust212–120.0314%5 Feb
nuke13–80.024%1 Feb
dust213–110.0114%31 Jan
mirage8–13-0.0715%31 Jan
mirage13–10-0.015%31 Jan
nuke13–30.1225%25 Jan
dust211–130.0027%25 Jan
mirage7–13-0.0611%25 Jan
dust28–2-0.0311%25 Jan
inferno13–6-0.0128%24 Jan
dust212–12-0.0515%20 Jan
dust213–80.0116%19 Jan
nuke7–13-0.0911%19 Jan
inferno10–13-0.0210%16 Jan
mirage13–3-0.029%16 Jan
mirage13–6-0.065%12 Jan
anubis13–50.017%11 Jan
inferno13–6-0.0124%11 Jan
dust24–13-0.1624%11 Jan
dust22–13-0.0313%10 Jan
mirage8–130.0214%10 Jan
nuke13–70.036%8 Jan
dust28–13-0.0425%8 Jan
mirage13–50.036%7 Jan
dust22–10.0720%7 Jan
dust24–13-0.085%7 Jan
mirage10–130.0022%5 Jan
inferno6–13-0.0115%5 Jan
mirage9–130.025%4 Jan
ancient13–10-0.027%4 Jan
mirage11–13-0.0114%2 Jan
nuke13–80.049%2 Jan
nuke11–13-0.0719%27 Dec
mirage13–16-0.049%27 Dec
dust213–5-0.0712%27 Dec
mirage13–100.003%27 Dec

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 →