batezon

batezon — CS2 Stats

76561198318731485[U:1:358465757]Steam profile ↗✓ No bans

685Tracked matches72%Win rate2021Tracked since
CSDB Rating7.6 StrongEntry Fragger
FaceitLevel 10 · 1,822 ELOTop 12.4% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

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CSDB.GGbatezonFACEITLevel 10 · 1,822 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim92
Positioning74
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY484012Last 10048%Win rateLWWLWWWLTL

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Primary style: Entry FraggerHigh opening-fight frequency with above-par success in them.

Aim9.2
Aggression10.0
Utility5.8
Positioning7.4
Opening Duels6.3
Clutch3.8

Sharp aimer

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

s1mple

Plays most like s1mple 95% playstyle similarity

Most alike: opening-fight frequency, positioning 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

Strengths

Aim. Aim score of 92 — the mechanical foundation is a clear strength.

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

Reaction time. 562ms 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

Aim9.2
Positioning7.4
Utility5.8
Mechanics8.3
Opening Duels6.3
Win Impact10.0

Composite 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.03
first ⅓ avg 0.02 → last ⅓ avg 0.05
Reaction time574ms−8ms
first ⅓ avg 582ms → last ⅓ avg 574ms
Headshot accuracy24.7%−2.2%
first ⅓ avg 26.9% → last ⅓ avg 24.7%

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

0.23Best rating — ancient 13–5
132Biggest win — anubis
8Longest win streak
67In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 65% over 17infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C25101540%0.04
mirageS1711665%0.02
nukeA116555%0.01
cacheA95456%0.03
infernoD92722%0.01
ancientC94544%0.06
anubisA85363%0.03
trainA74357%0.03
boulder21150%0.11
office1010%0.03
fachwerk1010%0.02
vertigo1010%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

323Matches
62%Win rate
1.47Avg K/D
101.7ADR
53%Headshot %

Clutches & streaks

39%1v1 clutch win
19%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage4062%1.3820.3
Dust23060%1.3120.2
Ancient1958%1.2819.6
Inferno1560%1.4621.5
Nuke1250%1.4321.6
Anubis1060%1.0116.8
Overpass786%1.5421.9
Train650%2.1023.2

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.

24.9%Headshot accuracy
40.3%Accuracy (enemy spotted)
39.9%Spray accuracy
87.3%Counter-strafing
7.7°Preaim
562msReaction time
49.3%T opening success
61.2%CT opening success
0.63Enemies flashed / flash
6.1%Flash assists
14.11HE damage / grenade
8.02Flashes / match

Recommended for you

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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache8–130.0126%26 Aug
dust213–100.0721%26 Aug
dust213–60.1521%19 Aug
mirage10–130.0018%19 Aug
dust213–90.0210%18 Aug
mirage13–100.0033%15 Aug
cache13–50.0827%15 Aug
inferno4–13-0.0424%15 Aug
dust212–120.0319%15 Aug
train3–130.0325%15 Aug
nuke4–130.0536%11 Aug
anubis8–130.1030%10 Aug
nuke13–6-0.0130%10 Aug
mirage13–60.1239%10 Aug
dust213–80.1430%10 Aug
cache11–13-0.0324%10 Aug
inferno12–120.0538%10 Aug
dust212–120.0918%10 Aug
ancient13–110.1028%10 Aug
train6–10.0821%10 Aug
nuke13–50.0521%10 Aug
mirage13–50.0325%9 Aug
mirage13–7-0.0123%9 Aug
mirage13–110.1122%4 Aug
anubis13–2-0.0714%4 Aug
dust213–100.0916%4 Aug
nuke12–120.0633%4 Aug
ancient8–10.1229%4 Aug
inferno12–120.0214%3 Aug
cache13–90.0335%3 Aug
dust210–130.0520%29 Jul
office5–130.0331%29 Jul
inferno13–5-0.0116%29 Jul
anubis13–70.1024%29 Jul
train5–13-0.0333%29 Jul
mirage13–50.1020%29 Jul
boulder13–20.1617%29 Jul
train12–12-0.0116%28 Jul
dust26–13-0.0245%28 Jul
cache13–100.0229%28 Jul
nuke13–100.0530%24 Jul
anubis13–60.0521%22 Jul
dust213–90.1518%22 Jul
mirage2–13-0.0812%22 Jul
cache12–120.0721%22 Jul
mirage6–130.0930%22 Jul
mirage12–12-0.0232%22 Jul
train13–80.0429%21 Jul
anubis13–50.0926%17 Jul
dust20–7-0.130%14 Jul
ancient13–50.2333%14 Jul
fachwerk4–130.0236%13 Jul
boulder5–130.0519%13 Jul
ancient7–130.0027%12 Jul
inferno5–13-0.0131%12 Jul
cache13–110.0317%12 Jul
anubis11–13-0.0324%12 Jul
dust213–8-0.0232%11 Jul
cache12–120.0423%6 Jul
mirage13–70.0828%6 Jul
dust213–40.1021%6 Jul
mirage11–13-0.0520%4 Jul
ancient11–13-0.0211%23 Jun
nuke13–11-0.0236%23 Jun
mirage6–13-0.0319%22 Jun
dust29–13-0.0524%20 Jun
dust29–13-0.0619%19 Jun
dust29–130.0638%18 Jun
dust22–7-0.0137%17 Jun
nuke3–130.0322%17 Jun
dust213–80.0422%16 Jun
nuke13–7-0.0513%16 Jun
dust210–130.0131%16 Jun
mirage13–110.0618%15 Jun
ancient13–100.0128%10 Jun
dust213–10-0.0424%9 Jun
inferno13–100.0027%8 Jun
dust22–50.2128%8 Jun
ancient12–120.0027%8 Jun
dust211–130.0233%8 Jun
dust25–13-0.0226%8 Jun
inferno12–120.0135%8 Jun
nuke3–13-0.0929%8 Jun
mirage13–7-0.0130%7 Jun
anubis9–130.0217%7 Jun
train13–100.0223%7 Jun
inferno11–13-0.0020%4 Jun
nuke13–50.0226%4 Jun
mirage13–7-0.0623%2 Jun
ancient7–130.0417%2 Jun
dust210–13-0.0021%1 Jun
ancient12–120.0824%1 Jun
inferno11–130.0930%30 May
dust210–130.0150%29 May
cache13–80.0624%28 May
mirage13–40.0231%26 May
train13–110.0730%26 May
vertigo9–13-0.0216%25 May
nuke9–13-0.0136%25 May
anubis13–8-0.0336%21 May

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →