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Banana_Bread — CS2 Stats

76561198256131084[U:1:295865356]

586Tracked matches70%Win rate2023Tracked since
CSDB Rating5.1 Developing
Premier CS Rating15,927Purple band · top ~24.7% of ranked players (population est.)
CSDB Leaderboard#15751 of 26267 tracked
FaceitLevel 6 · 940 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGBanana_BreadFACEITLevel 6 · 940 ELOSTANDINGTop 54.0% of rankedPREMIER15,927 · Purple bandcsdb.gg/stats

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Performance scores

Aim53
Positioning50
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY56–43–1Last 10056%Win rateLLWLWWWLWW

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

Aim5.3
Aggression5.9
Utility4.1
Positioning5.0
Opening Duels1.9
Clutch5.6

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 83% playstyle similarity

Most alike: opening-duel success, positioning profile.

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. 567ms 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

Aim5.3
Positioning5.0
Utility4.1
Mechanics4.7
Opening Duels1.9
Win Impact10.0

Composite 5.1/10 (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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time565ms−95ms
first ⅓ avg 660ms → last ⅓ avg 565ms
Headshot accuracy12.7%+0.2%
first ⅓ avg 12.6% → last ⅓ avg 12.7%

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

0.18Best rating — ancient 19–16
13–1Biggest win — nuke
10Longest win streak
L2Current streak
11–4In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 72% over 18infernoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB2312–1152%-0.02
ancientS1813–572%-0.01
dust2B168–850%-0.01
nukeS1410–471%-0.00
cacheA116–555%-0.02
infernoD113–827%-0.00
anubis—41–325%-0.03
shelter—11–0100%-0.02
overpass—11–0100%0.06
office—11–0100%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

72Matches
54%Win rate
0.92Avg K/D
72.8ADR
38%Headshot %

Clutches & streaks

48%1v1 clutch win
30%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1867%0.8514.0
Dust21540%1.0114.5
Ancient1182%1.1018.4
Inferno922%0.8514.8
Nuke862%1.0715.1
Cache850%0.6211.4
Anubis333%0.8515.0

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.

12.5%Headshot accuracy
35.5%Accuracy (enemy spotted)
34.4%Spray accuracy
71.3%Counter-strafing
11.1°Preaim
567msReaction time
35.1%T opening success
39.7%CT opening success
0.46Enemies flashed / flash
4.4%Flash assists
8.47HE damage / grenade
5.69Flashes / 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 12.4895% — 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 0.464 — 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 35.1434% — 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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache4–13-0.109%26 Aug →
mirage4–13-0.0516%24 Aug →
nuke13–30.0715%24 Aug →
ancient8–13-0.0413%24 Aug →
dust213–11-0.0113%23 Aug →
dust213–6-0.028%23 Aug →
shelter13–8-0.026%22 Aug →
dust24–13-0.0414%22 Aug →
ancient13–5-0.0016%22 Aug →
cache13–100.0220%21 Aug →
inferno13–160.0012%21 Aug →
ancient13–70.045%19 Aug →
ancient13–60.0212%18 Aug →
mirage13–100.0215%16 Aug →
ancient13–11-0.048%16 Aug →
cache8–13-0.0415%16 Aug →
nuke13–11-0.019%16 Aug →
nuke13–10.0814%16 Aug →
nuke13–50.0716%15 Aug →
mirage16–140.0014%14 Aug →
ancient13–90.0315%13 Aug →
mirage13–11-0.0711%13 Aug →
mirage13–110.0617%12 Aug →
cache16–13-0.059%9 Aug →
nuke13–9-0.0416%9 Aug →
cache13–10-0.055%9 Aug →
mirage11–13-0.0513%9 Aug →
ancient5–13-0.0813%9 Aug →
mirage13–4-0.0325%9 Aug →
dust28–13-0.077%9 Aug →
cache16–13-0.0113%9 Aug →
cache13–16-0.0515%9 Aug →
ancient13–90.0213%8 Aug →
cache15–15-0.0610%8 Aug →
inferno13–100.0112%6 Aug →
ancient10–13-0.0210%4 Aug →
mirage7–13-0.005%3 Aug →
dust29–13-0.0623%3 Aug →
mirage11–13-0.0014%2 Aug →
inferno11–13-0.0923%2 Aug →
nuke11–13-0.0614%2 Aug →
nuke13–160.015%2 Aug →
ancient19–17-0.0210%2 Aug →
dust28–13-0.088%2 Aug →
ancient13–3-0.046%1 Aug →
mirage13–60.049%1 Aug →
inferno13–80.077%1 Aug →
inferno7–130.0314%1 Aug →
anubis16–13-0.0412%1 Aug →
mirage6–13-0.076%1 Aug →
ancient13–6-0.0021%1 Aug →
inferno6–13-0.0114%31 Jul →
ancient19–160.1817%30 Jul →
mirage13–9-0.049%26 Jul →
dust213–7-0.0114%26 Jul →
ancient13–10-0.0422%26 Jul →
dust213–80.0615%26 Jul →
nuke13–70.0113%26 Jul →
mirage13–10-0.0313%26 Jul →
cache13–60.015%26 Jul →
dust29–130.0713%23 Jul →
nuke13–11-0.0712%18 Jul →
mirage13–6-0.029%18 Jul →
dust213–40.019%18 Jul →
inferno19–16-0.0113%18 Jul →
dust26–13-0.039%18 Jul →
mirage13–10-0.075%18 Jul →
mirage4–13-0.0811%18 Jul →
mirage13–90.0114%14 Jul →
inferno7–130.0611%14 Jul →
dust210–130.0429%14 Jul →
cache4–13-0.0217%14 Jul →
mirage10–13-0.0412%13 Jul →
dust213–90.0412%8 Jul →
mirage13–8-0.0013%7 Jul →
inferno8–13-0.0010%6 Jul →
dust28–13-0.039%5 Jul →
ancient13–8-0.0321%5 Jul →
inferno5–13-0.0510%5 Jul →
nuke19–22-0.059%5 Jul →
dust213–11-0.0414%5 Jul →
nuke13–11-0.0512%4 Jul →
ancient2–13-0.0414%4 Jul →
ancient13–8-0.025%3 Jul →
inferno10–13-0.0112%3 Jul →
anubis10–13-0.029%1 Jul →
mirage10–13-0.0318%1 Jul →
mirage7–13-0.0110%29 Jun →
nuke4–13-0.079%29 Jun →
anubis7–13-0.017%29 Jun →
dust213–10-0.0122%28 Jun →
mirage7–130.024%28 Jun →
mirage9–130.0613%28 Jun →
ancient2–13-0.073%28 Jun →
cache9–20.0924%28 Jun →
nuke13–9-0.0316%27 Jun →
nuke13–110.0710%26 Jun →
overpass13–90.0612%25 Jun →
anubis10–13-0.0412%23 Jun →
office13–90.0013%23 Jun →

Match data via Leetify.

Recent teammates

Milestones

500 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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