BananoFace — CS2 Stats

76561198063394846[U:1:103129118]

772Tracked matches76%Win rate2025Tracked since
1,489Hours in CS17Hrs last 2 wks
CSDB Rating6.9 SolidAggressive Rifler
Premier CS Rating19,999Purple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#7611 of 16947 tracked
FaceitLevel 3 · 902 ELOTop 90.6% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GGBananoFaceFACEITLevel 3 · 902 ELOSTANDINGTop 90.6% of rankedPREMIER19,999 · Purple bandcsdb.gg/stats

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Performance scores

Aim79
Positioning58
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY67267Last 10067%Win rateWWWWLLWWLL

Last 10 vs previous 10: +0pp win rate · -0.06 avg rating

Player DNA

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

Aim7.9
Aggression9.7
Utility6.6
Positioning5.8
Opening Duels4.8
Clutch6.0

Strong 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

device

Plays most like device 94% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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 58% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 589ms 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

Aim7.9
Positioning5.8
Utility6.6
Mechanics6.1
Opening Duels4.8
Win Impact10.0

Composite 6.9/10 (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 rating0.03−0.02
first ⅓ avg 0.05 → last ⅓ avg 0.03
Reaction time575ms−32ms
first ⅓ avg 607ms → last ⅓ avg 575ms
Headshot accuracy15.9%−0.9%
first ⅓ avg 16.8% → last ⅓ avg 15.9%

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

0.42Best rating — nuke 9–0
130Biggest win — anubis
6Longest win streak
W4Current streak
72In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 88% over 8trainWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
infernoS31201165%0.08
dust2S1813572%0.04
nukeB137654%0.08
ancientS87188%0.01
mirageS54180%0.07
trainC52340%0.02
anubis42250%0.01
debris43175%0.16
cache42250%-0.04
poseidon32167%0.07
vertigo330100%0.17
overpass220100%-0.04

Across the last 100 tracked matches.

Lifetime stats

47,041Lifetime kills
1.56K/D · Top 5% of tracked players
2,627Matches
61.4%Match win rate · Top 5% of tracked players
36.4%Headshot %
0.4%Shot accuracy
7,814MVPs
802Hours (in match)
1,846Bombs planted
452Bombs defused

Most-used weapons

AWP9,276
AK-477,800
MAC-102,618
MP71,779
MP91,415
Tec-91,284

Lifetime map wins

3,813dust2
2,766inferno
1,778nuke
1,744office
1,563italy
1,505vertigo
481train
174lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

15Matches
27%Win rate
1.06Avg K/D
65.1ADR
29%Headshot %

Clutches & streaks

50%1v1 clutch win
20%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust2333%1.1916.3
Inferno30%0.9514.7
Mirage367%1.6612.3
Nuke333%1.1611.7
Ancient20%0.285.5
Train10%0.538.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.7%Headshot accuracy
40.0%Accuracy (enemy spotted)
42.6%Spray accuracy
77.3%Counter-strafing
9.5°Preaim
589msReaction time
40.9%T opening success
57.6%CT opening success
0.65Enemies flashed / flash
9.9%Flash assists
7.59HE damage / grenade
9.22Flashes / match

Recommended for you

Spend your practice time on Train

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
anubis13–9-0.0315%27 Aug
ancient13–100.0210%27 Aug
debris9–70.0016%27 Aug
inferno9–50.0211%26 Aug
poseidon5–9-0.0418%26 Aug
cache1–9-0.006%25 Aug
ancient13–70.104%25 Aug
dust213–110.059%25 Aug
inferno2–9-0.1750%25 Aug
inferno5–13-0.0213%25 Aug
overpass9–6-0.078%25 Aug
inferno3–9-0.0018%25 Aug
debris4–90.1112%21 Aug
nuke13–80.1020%20 Aug
dust213–10.0817%20 Aug
nuke13–90.0215%20 Aug
inferno9–10.3525%20 Aug
mirage9–130.0214%18 Aug
overpass9–3-0.0119%18 Aug
inferno8–8-0.0417%18 Aug
mirage13–2-0.0314%17 Aug
train13–10.0315%17 Aug
inferno9–70.020%17 Aug
ancient5–4-0.090%17 Aug
anubis13–00.0238%17 Aug
train7–13-0.0811%17 Aug
dust213–90.0528%17 Aug
nuke12–120.0216%17 Aug
inferno13–30.0832%14 Aug
ancient13–100.078%14 Aug
dust27–130.1410%14 Aug
inferno9–70.2219%14 Aug
mirage13–10.1619%14 Aug
nuke8–80.1210%14 Aug
inferno9–6-0.0018%13 Aug
dust213–80.0729%13 Aug
inferno9–30.2729%13 Aug
train7–130.0418%12 Aug
train13–40.1035%12 Aug
nuke9–40.1217%9 Aug
inferno9–10.2021%9 Aug
inferno4–9-0.027%8 Aug
nuke4–9-0.070%7 Aug
inferno9–50.2028%7 Aug
inferno9–5-0.0514%7 Aug
nuke1–9-0.320%7 Aug
nuke9–50.1927%7 Aug
inferno2–9-0.0921%7 Aug
inferno9–70.0313%7 Aug
nuke9–10.2216%7 Aug
inferno8–80.1531%7 Aug
inferno8–80.0319%7 Aug
nuke9–00.429%7 Aug
inferno9–40.1027%7 Aug
inferno9–10.3421%7 Aug
dust213–70.0817%7 Aug
vertigo9–30.3531%6 Aug
inferno7–90.1615%6 Aug
dust210–30.060%5 Aug
dust213–90.0429%5 Aug
train10–130.0336%5 Aug
dust213–80.1526%5 Aug
mirage13–70.1113%4 Aug
inferno13–30.0621%4 Aug
ancient13–60.0324%4 Aug
cache13–60.027%4 Aug
dust27–130.1042%4 Aug
anubis11–130.0410%4 Aug
dust213–90.0610%4 Aug
dust213–100.0510%4 Aug
inferno13–80.0820%4 Aug
ancient13–90.0112%3 Aug
inferno13–40.0521%3 Aug
ancient1–8-0.0211%30 Jul
dust210–13-0.0533%30 Jul
vertigo13–4-0.004%29 Jul
nuke9–13-0.0513%29 Jul
dust213–90.0119%29 Jul
dust23–8-0.090%27 Jul
nuke8–80.0422%27 Jul
vertigo9–30.1622%27 Jul
cache11–6-0.0318%27 Jul
inferno8–13-0.0511%27 Jul
ancient13–6-0.045%27 Jul
inferno13–40.139%27 Jul
dust213–40.0516%27 Jul
debris9–40.2310%27 Jul
anubis7–130.025%25 Jul
dust21–13-0.0913%25 Jul
dust213–4-0.0218%25 Jul
cache1–8-0.140%23 Jul
inferno9–60.1230%23 Jul
mirage13–110.0819%23 Jul
inferno8–80.0216%23 Jul
poseidon9–50.1230%23 Jul
nuke9–20.250%23 Jul
inferno9–20.3427%23 Jul
debris9–10.3127%23 Jul
poseidon9–50.1436%23 Jul
inferno9–40.0756%23 Jul

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 →