Bendeguz

Bendeguz — CS2 Stats

76561197983350071[U:1:23084343]Steam profile ↗✓ No bans

586Tracked matches50%Win rate2020Tracked since
CSDB Rating5.5 SolidHybrid Rifler
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGBendeguzFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim64
Positioning55
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY4852Last 10048%Win rateWLWLWWWLLL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.4
Aggression5.3
Utility6.3
Positioning5.5
Opening Duels0.8

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

NiKo

Plays most like NiKo 88% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

T-side openings. Opening success drops from 42% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 582ms 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

Aim6.4
Positioning5.5
Utility6.3
Mechanics6.1
Opening Duels1.5
Win Impact5.0

Composite 5.5/10 (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 -0.00 → last ⅓ avg -0.01
Reaction time583ms−17ms
first ⅓ avg 599ms → last ⅓ avg 583ms
Headshot accuracy19.3%+0.4%
first ⅓ avg 18.8% → last ⅓ avg 19.3%

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

0.17Best rating — inferno 9–5
131Biggest win — cache
5Longest win streak
107In matches decided by ≤2 rounds
14Overtime games

Map breakdown

overpassBest map · 100% over 5anubisWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB23111248%-0.01
nukeS1712571%0.02
cacheD1751229%-0.02
ancientB137654%-0.01
vertigoC83538%0.00
mirageC73443%0.00
overpassS550100%0.00
anubisD5050%-0.01
dust242250%-0.03
train1010%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

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

18.0%Headshot accuracy
32.4%Accuracy (enemy spotted)
38.4%Spray accuracy
77.3%Counter-strafing
10.6°Preaim
582msReaction time
24.8%T opening success
41.8%CT opening success
0.66Enemies flashed / flash
7.2%Flash assists
9.67HE damage / grenade
6.69Flashes / 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. 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 24.7874% — below the 40% mark we flag

Spend your practice time on Anubis

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.0228%30 Aug
inferno8–13-0.018%29 Aug
vertigo13–80.0110%29 Aug
nuke11–130.0825%29 Aug
overpass13–5-0.0316%28 Aug
cache13–30.0121%28 Aug
ancient19–17-0.0219%28 Aug
cache10–13-0.0714%28 Aug
inferno7–130.0232%28 Aug
vertigo7–130.0118%27 Aug
nuke8–13-0.0016%27 Aug
vertigo5–13-0.0112%26 Aug
inferno16–140.0216%26 Aug
ancient13–70.019%25 Aug
cache13–10.0811%25 Aug
nuke6–13-0.0418%25 Aug
ancient13–9-0.0537%24 Aug
cache13–90.0220%24 Aug
inferno13–110.0225%24 Aug
nuke13–100.0519%19 Aug
ancient11–130.0119%19 Aug
cache7–13-0.0215%19 Aug
mirage7–13-0.0619%18 Aug
ancient10–13-0.0919%18 Aug
cache14–16-0.036%18 Aug
nuke16–14-0.0125%16 Aug
cache5–13-0.0024%16 Aug
nuke13–10-0.0615%14 Aug
cache13–16-0.0512%14 Aug
inferno13–3-0.038%14 Aug
mirage13–30.0538%14 Aug
dust24–13-0.1129%23 Jun
ancient13–6-0.0032%23 Jun
inferno7–13-0.0313%23 Jun
nuke10–20.0623%11 Jun
ancient7–130.0710%11 Jun
vertigo9–130.0113%10 Jun
nuke10–00.0435%10 Jun
inferno13–8-0.0320%10 Jun
anubis8–130.0123%9 Jun
inferno14–16-0.0115%9 Jun
cache10–130.0122%8 Jun
ancient13–50.0021%8 Jun
nuke13–100.0533%7 Jun
inferno16–13-0.0114%7 Jun
cache8–13-0.0013%6 Jun
ancient4–13-0.0420%6 Jun
overpass13–8-0.0227%5 Jun
anubis3–13-0.1119%5 Jun
vertigo13–11-0.0027%4 Jun
nuke8–13-0.0229%4 Jun
ancient10–130.0124%3 Jun
inferno16–12-0.0131%3 Jun
mirage13–70.0612%2 Jun
anubis10–130.027%2 Jun
ancient12–16-0.0219%1 Jun
inferno10–13-0.0629%1 Jun
vertigo13–90.0028%31 May
inferno7–13-0.0212%31 May
inferno9–40.0729%31 May
nuke9–7-0.0114%31 May
vertigo8–13-0.0027%30 May
cache2–13-0.0611%30 May
inferno13–10-0.0730%29 May
cache13–100.0227%29 May
dust213–11-0.0114%29 May
mirage7–13-0.0415%29 May
inferno13–7-0.0426%29 May
nuke10–130.0723%28 May
overpass13–7-0.0120%28 May
mirage13–100.0111%22 May
overpass13–3-0.0715%22 May
nuke13–10-0.0431%22 May
dust213–30.0227%22 May
inferno11–13-0.0928%22 May
cache13–16-0.019%22 May
inferno11–13-0.0118%21 May
dust24–13-0.0223%21 May
ancient13–2-0.0120%21 May
cache13–90.0215%21 May
mirage14–160.0321%17 May
inferno8–13-0.0228%17 May
inferno9–50.1718%17 May
nuke13–11-0.0122%16 May
vertigo7–13-0.019%16 May
mirage13–16-0.0522%14 May
anubis12–16-0.0216%14 May
nuke13–50.1315%13 May
inferno13–16-0.0512%13 May
ancient13–11-0.019%12 May
cache2–13-0.119%12 May
anubis3–130.0319%11 May
train5–130.0216%11 May
overpass9–30.1435%11 May
inferno3–9-0.1833%11 May
nuke13–7-0.0215%10 May
cache4–13-0.028%10 May
cache5–13-0.0313%9 May
nuke13–60.0017%9 May
inferno9–130.0519%8 May

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 →