Squash Banana

Squash Banana — CS2 Stats

76561198068253692[U:1:107987964]Steam profile ↗✓ No bans

785Tracked matches46%Win rate2020Tracked since
1,130Hours in CS2Hrs last 2 wks
CSDB Rating5.8 SolidAggressive Rifler
WingmanGold Nova II
Ladder ranks via Leetify

Performance scores

Aim75
Positioning50
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY37567Last 10037%Win rateTWWTLWWLWW

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.5
Aggression7.3
Utility3.7
Positioning5.0
Opening Duels2.8

Excellent counter-strafingStrong CT-side opener

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

ropz

Plays most like ropz 87% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower opening-duel success; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 50% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 628ms 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

Aim7.5
Positioning5.0
Utility3.7
Mechanics8.6
Opening Duels2.8
Win Impact3.8

Composite 5.8/10 (Solid), 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 time645ms−33ms
first ⅓ avg 678ms → last ⅓ avg 645ms
Headshot accuracy18.6%−0.7%
first ⅓ avg 19.3% → last ⅓ avg 18.6%

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

0.31Best rating — sanctum 9–1
130Biggest win — cache
5Longest win streak
56In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 60% over 5vertigoWeakest map · 13% over 15
MapGradePlayedRecordWin rateAvg rating
infernoD1851328%-0.05
vertigoD1521313%-0.02
nukeD113827%-0.01
trainA95456%-0.03
dust2D71614%-0.02
mirageC52340%0.01
ancientA53260%-0.02
cache43175%0.03
anubis42250%-0.03
overpass42250%0.02
grail31233%-0.03
debris220100%-0.01
warden21150%-0.01
sanctum21150%0.20
italy110100%0.00
eldorado110100%-0.01
poseidon1010%-0.13
office1010%-0.01
alpine1010%0.04
palacio1010%-0.09
golden110100%-0.03
dogtown110100%-0.08
brewery1010%-0.17

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (13% over 15). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

47,709Lifetime kills
0.65K/D
2,247Matches
39.3%Match win rate
55.5%Headshot % · Top 25% of tracked players
17.3%Shot accuracy · Top 25% of tracked players
3,377MVPs
1,568Hours (in match)
1,494Bombs planted
246Bombs defused

Most-used weapons

Lifetime map wins

1,707train
1,576dust2
1,559inferno
1,373vertigo
1,198nuke
532cbble
299office
91lake

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.

16.6%Headshot accuracy
35.5%Accuracy (enemy spotted)
38.9%Spray accuracy
88.7%Counter-strafing
9.3°Preaim
628msReaction time
32.7%T opening success
50.0%CT opening success
0.61Enemies flashed / flash
3.2%Flash assists
8.73HE damage / grenade
6.37Flashes / 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

    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 32.7425% — below the 40% mark we flag

Spend your practice time on Vertigo

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

13% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke12–12-0.0433%28 Aug
inferno13–10-0.048%28 Aug
italy13–40.0028%28 Aug
inferno8–8-0.1215%28 Aug
vertigo7–9-0.0623%28 Aug
debris9–5-0.0529%28 Aug
eldorado9–3-0.0117%12 Jul
poseidon6–9-0.139%12 Jul
debris9–50.0315%11 Jul
mirage13–40.0518%26 Jun
inferno13–100.0224%26 Jun
dust27–13-0.0216%21 Jun
cache13–00.0420%21 Jun
nuke3–9-0.1215%21 Jun
cache13–20.0221%15 May
office6–13-0.0115%15 May
alpine10–130.0424%9 May
dust28–13-0.0120%9 May
warden13–11-0.0116%8 May
vertigo3–13-0.0829%2 May
cache9–130.0214%2 May
cache13–110.0418%2 May
sanctum9–10.3125%25 Apr
vertigo9–40.0630%25 Apr
vertigo7–9-0.0415%13 Mar
sanctum7–90.1011%13 Mar
nuke2–9-0.2133%13 Mar
inferno5–9-0.1325%13 Mar
warden12–12-0.0117%14 Feb
ancient13–90.038%14 Feb
vertigo8–130.028%14 Feb
anubis13–9-0.045%17 Jan
ancient8–13-0.058%17 Jan
train2–13-0.0121%17 Jan
dust26–13-0.1022%3 Jan
ancient10–8-0.0634%29 Dec
vertigo11–13-0.0111%29 Dec
nuke2–13-0.059%22 Nov
vertigo2–13-0.0517%22 Nov
palacio5–13-0.0913%20 Oct
anubis7–13-0.0211%20 Oct
golden13–7-0.037%20 Oct
train13–11-0.0311%20 Sept
inferno6–130.009%20 Sept
inferno13–9-0.076%12 Sept
train7–13-0.0827%12 Sept
dust25–13-0.0123%12 Sept
vertigo3–13-0.0627%12 Sept
vertigo5–90.0736%8 Sept
inferno3–90.0326%8 Sept
vertigo6–90.0220%8 Sept
nuke5–9-0.056%8 Sept
vertigo10–13-0.0217%6 Sept
ancient13–100.0115%6 Sept
train6–13-0.096%4 Sept
inferno2–13-0.016%4 Sept
dust213–60.0512%29 Aug
grail2–13-0.0820%29 Aug
inferno6–13-0.0912%23 Aug
vertigo6–13-0.0315%23 Aug
inferno6–13-0.0323%23 Aug
vertigo9–70.0316%23 Aug
overpass12–12-0.0114%15 Aug
train12–12-0.0612%15 Aug
inferno9–60.0812%15 Aug
inferno1–9-0.1725%15 Aug
inferno9–13-0.0712%15 Aug
grail13–60.0818%15 Aug
mirage10–13-0.0121%5 Aug
anubis3–13-0.0819%5 Aug
train13–4-0.0212%5 Aug
train13–6-0.0213%5 Aug
overpass7–9-0.0213%4 Aug
inferno8–13-0.0519%2 Aug
nuke9–130.0219%2 Aug
vertigo8–8-0.0210%1 Aug
inferno9–30.0815%1 Aug
nuke6–90.0433%1 Aug
anubis13–80.0117%28 Jul
train13–50.014%28 Jul
nuke13–30.0533%28 Jul
mirage13–70.037%28 Jul
overpass9–40.0513%28 Jul
inferno1–9-0.1920%28 Jul
dogtown9–5-0.0822%26 Jul
brewery1–9-0.1736%26 Jul
overpass9–30.0719%26 Jul
vertigo5–9-0.1416%26 Jul
nuke9–10.2614%26 Jul
inferno3–9-0.2144%26 Jul
nuke13–20.0120%19 Jul
dust26–13-0.0526%19 Jul
mirage7–13-0.0319%19 Jul
train13–7-0.0021%16 Jul
ancient10–13-0.0413%4 Jul
mirage10–13-0.0120%28 Jun
grail9–13-0.1011%28 Jun
inferno6–13-0.0120%28 Jun
nuke11–13-0.0721%27 Jun
dust212–12-0.0331%27 Jun

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 →