Bendeguz

Bendeguz — CS2 Stats

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

717Tracked matches50%Win rate2020Tracked since
CSDB Rating6.2 SolidSupport
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (50 days ago). Ranks are recorded once per day this page is viewed.

+103Tracked matches · now 717
−13.3ppWin rate · 63.3% → 50.0%

Rating over time

37Days played since 2026-08-31

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

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

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Performance scores

Aim75
Positioning61
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY48–52Last 10048%Win rateLWLWLLWWWL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −0.4pp headshot accuracy · +24ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 527ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 550ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 538ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.4 against its own average).

Aim7.5
Utility6.2
Positioning6.1
Opening Duels2.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

iM

Plays most like iM 85% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success.

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

CT openings. Opening success drops from 58% on T to 38% on CT — first contacts on the defending side are being lost.

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
Positioning6.1
Utility6.2
Mechanics5.9
Opening Duels4.6
Win Impact5.0

Composite 6.2/10 (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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time545ms+2ms
first ⅓ avg 542ms → last ⅓ avg 545ms
Headshot accuracy19.0%+3.6%
first ⅓ avg 15.4% → last ⅓ avg 19.0%

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.

Personal bests

0.21Best match rating · 13–5 · vertigo, 27 Sept →
38%Best headshot accuracy · 7–2 · mirage, 27 Oct →
359msFastest reaction time · 7–2 · mirage, 27 Oct →
13–2Biggest win · train, 13 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 75% over 8ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoC197–1237%-0.00
nukeA1811–761%0.01
cacheC156–940%-0.01
dust2C94–544%0.01
anubisB84–450%0.02
mirageS86–275%-0.00
overpassB84–450%-0.03
vertigoC73–443%0.04
ancientD72–529%-0.00
train—11–0100%0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient 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.

19.0%Headshot accuracy
35.5%Accuracy (enemy spotted)
34.8%Spray accuracy
76.7%Counter-strafing
9.1°Preaim
535msReaction time
58.5%T opening success
38.3%CT opening success
0.59Enemies flashed / flash
6.8%Flash assists
12.20HE damage / grenade
10.17Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.2534% — below the 40% mark we flag

Spend your practice time on Ancient

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis11–130.0422%2 Nov →
cache13–60.0119%2 Nov →
inferno11–130.0327%2 Nov →
anubis13–90.0715%1 Nov →
vertigo10–13-0.013%1 Nov →
inferno11–130.0124%30 Oct →
nuke13–80.0236%30 Oct →
inferno13–11-0.0114%29 Oct →
mirage13–110.0327%28 Oct →
overpass7–13-0.0522%28 Oct →
inferno13–50.069%28 Oct →
cache10–13-0.0428%28 Oct →
ancient9–130.0129%27 Oct →
mirage7–20.0238%27 Oct →
dust211–13-0.0217%26 Oct →
overpass19–17-0.0218%26 Oct →
dust213–90.0019%26 Oct →
nuke8–1-0.0123%26 Oct →
anubis10–13-0.049%25 Oct →
inferno8–130.0622%25 Oct →
inferno10–130.0721%24 Oct →
nuke13–30.0924%24 Oct →
cache13–80.0317%23 Oct →
nuke13–8-0.0128%23 Oct →
vertigo10–130.0110%22 Oct →
overpass10–130.0614%18 Oct →
nuke8–130.0014%18 Oct →
inferno13–16-0.0611%17 Oct →
dust213–90.058%17 Oct →
nuke13–40.0319%17 Oct →
cache6–13-0.0318%17 Oct →
dust29–13-0.058%17 Oct →
mirage9–13-0.0213%17 Oct →
inferno11–13-0.0122%16 Oct →
nuke13–10-0.0026%16 Oct →
cache13–9-0.025%15 Oct →
overpass13–10-0.0112%15 Oct →
anubis10–13-0.0225%14 Oct →
inferno8–13-0.0020%14 Oct →
nuke13–40.0017%13 Oct →
cache13–3-0.0117%13 Oct →
train13–20.0715%13 Oct →
cache17–190.0214%12 Oct →
cache10–13-0.0521%12 Oct →
dust27–130.0516%12 Oct →
mirage13–7-0.058%12 Oct →
dust213–9-0.0126%12 Oct →
inferno13–7-0.0215%12 Oct →
inferno7–13-0.0210%11 Oct →
nuke9–130.0219%11 Oct →
inferno13–70.0236%10 Oct →
anubis13–50.0726%10 Oct →
nuke8–130.0218%10 Oct →
cache9–13-0.0316%9 Oct →
ancient16–140.0115%9 Oct →
cache13–110.0816%8 Oct →
anubis13–60.0416%8 Oct →
inferno5–13-0.0312%8 Oct →
dust24–13-0.0416%8 Oct →
nuke7–13-0.0114%7 Oct →
ancient4–13-0.0715%7 Oct →
dust213–90.1122%7 Oct →
vertigo11–60.1317%4 Oct →
nuke13–10-0.0311%4 Oct →
anubis13–60.0322%4 Oct →
vertigo13–70.0021%3 Oct →
nuke10–130.0514%3 Oct →
cache3–13-0.0314%2 Oct →
ancient12–16-0.0113%2 Oct →
vertigo13–50.2114%27 Sept →
mirage11–130.0217%27 Sept →
nuke6–13-0.1117%26 Sept →
cache10–130.0311%26 Sept →
anubis5–13-0.0619%26 Sept →
mirage13–5-0.0219%26 Sept →
inferno13–2-0.0626%26 Sept →
cache13–4-0.0216%26 Sept →
dust29–13-0.0124%24 Sept →
mirage19–17-0.0019%24 Sept →
inferno11–130.0018%24 Sept →
cache7–13-0.0922%24 Sept →
cache16–190.0011%23 Sept →
ancient3–130.0114%23 Sept →
overpass13–11-0.0520%22 Sept →
nuke5–130.0831%22 Sept →
inferno13–40.0113%22 Sept →
nuke13–60.0416%21 Sept →
inferno22–20-0.0323%21 Sept →
mirage13–10-0.0113%21 Sept →
vertigo17–19-0.0110%20 Sept →
inferno3–13-0.043%20 Sept →
nuke13–9-0.0113%19 Sept →
ancient13–100.044%19 Sept →
overpass0–13-0.075%19 Sept →
nuke13–9-0.0323%18 Sept →
overpass13–80.039%18 Sept →
overpass2–13-0.099%17 Sept →
vertigo12–16-0.0620%17 Sept →
ancient6–13-0.0010%16 Sept →
inferno9–13-0.0012%16 Sept →

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 →

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