Ben- (Unc)

Ben- (Unc) — CS2 Stats

CA76561198001016547[U:1:40750819]Steam profile ↗

3,117Tracked matches50%Win rate2020Tracked since
6,426Hours in CS19Hrs last 2 wks
CSDB Rating5.5 SolidHybrid Rifler
Premier CS Rating19,368Purple band · top ~11% of ranked players (population est.)
CSDB Leaderboard#9892 of 21027 tracked
FaceitLevel 6 · 1,284 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGBen- (Unc)FACEITLevel 6 · 1,284 ELOSTANDINGTop 54.0% of rankedPREMIER19,368 · Purple bandcsdb.gg/stats

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Performance scores

Aim66
Positioning52
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY49492Last 10049%Win rateWWTLWLLLLW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

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

Aim6.6
Aggression6.2
Utility4.9
Positioning5.2
Opening Duels2.4
Clutch3.8

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

Twistzz

Plays most like Twistzz 88% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

T-side openings. Opening success drops from 49% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 608ms 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

Aim6.6
Positioning5.2
Utility4.9
Mechanics6.6
Opening Duels2.4
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 time603ms−7ms
first ⅓ avg 609ms → last ⅓ avg 603ms
Headshot accuracy19.2%+0.7%
first ⅓ avg 18.5% → last ⅓ avg 19.2%

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

0.13Best rating — nuke 13–5
131Biggest win — cache
6Longest win streak
W2Current streak
511In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 75% over 12cacheWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
infernoC2081240%0.00
ancientA1811761%-0.01
nukeC1771041%0.01
cacheD1551033%-0.01
anubisS129375%0.01
mirageS96367%-0.00
dust2D62433%-0.04
vertigo1010%0.04
train1010%-0.01
italy110100%-0.04

Across the last 100 tracked matches.

Lifetime stats

134,002Lifetime kills
0.98K/D
5,977Matches
42.7%Match win rate
42.5%Headshot %
14.9%Shot accuracy · Top 50% of tracked players
13,058MVPs
3,329Hours (in match)
9,514Bombs planted
2,021Bombs defused

Most-used weapons

AK-4743,044
AWP8,472
P905,664
P2503,596
XM10143,425
Knife3,352

Lifetime map wins

13,602inferno
11,947dust2
5,554nuke
3,073vertigo
2,965train
1,316cbble
171office
62lake

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

Faceit stats

Combat

1,974Matches
49%Win rate
1.00Avg K/D
72.8ADR
42%Headshot %

Clutches & streaks

39%1v1 clutch win
21%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient16553%1.0114.2
Mirage12947%0.9613.6
Anubis11548%1.0514.6
Inferno10254%1.0915.2
Nuke7345%0.9614.6
Dust26048%0.9615.3
Vertigo5149%1.0816.1
Overpass2030%0.8013.1

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.

17.8%Headshot accuracy
35.1%Accuracy (enemy spotted)
41.4%Spray accuracy
79.6%Counter-strafing
11.5°Preaim
608msReaction time
29.4%T opening success
49.4%CT opening success
0.50Enemies flashed / flash
6.8%Flash assists
8.06HE damage / grenade
10.59Flashes / 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 29.4167% — below the 40% mark we flag

Spend your practice time on Cache

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

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
ancient13–90.0215%8 Aug
nuke13–90.0419%4 Aug
vertigo12–120.0415%4 Aug
inferno3–13-0.0027%4 Aug
anubis13–60.049%4 Aug
inferno9–13-0.0424%3 Aug
inferno4–130.0522%2 Aug
dust23–13-0.0728%2 Aug
nuke4–13-0.050%2 Aug
mirage13–100.0023%23 Jul
mirage13–110.0213%23 Jul
cache3–13-0.0521%22 Jul
inferno15–15-0.0212%22 Jul
inferno3–13-0.0524%19 Jul
anubis4–13-0.0427%19 Jul
cache7–13-0.0410%19 Jul
anubis13–110.0320%19 Jul
inferno13–10-0.057%19 Jul
cache13–60.0422%19 Jul
nuke9–130.0827%19 Jul
ancient13–40.0029%18 Jul
anubis13–30.019%18 Jul
train7–13-0.0113%18 Jul
cache5–13-0.0926%18 Jul
cache13–10.0010%18 Jul
ancient16–130.0220%17 Jul
ancient13–4-0.0116%17 Jul
nuke6–13-0.036%17 Jul
dust24–13-0.0813%17 Jul
inferno13–9-0.0130%17 Jul
inferno13–20.0044%17 Jul
nuke9–13-0.0023%17 Jul
nuke13–1-0.0229%16 Jul
cache13–20.0322%16 Jul
mirage9–40.0313%16 Jul
nuke16–130.0315%16 Jul
inferno10–130.0219%16 Jul
cache10–13-0.0428%16 Jul
ancient8–130.0322%16 Jul
nuke11–130.0422%16 Jul
nuke8–13-0.0124%16 Jul
ancient13–2-0.0428%16 Jul
cache11–13-0.0127%16 Jul
anubis13–40.0721%16 Jul
cache11–130.0013%16 Jul
cache6–13-0.0424%15 Jul
inferno13–90.0524%15 Jul
cache20–220.0120%8 Jul
ancient13–70.0622%7 Jul
mirage13–10-0.0116%7 Jul
inferno9–130.0315%7 Jul
ancient4–13-0.0413%7 Jul
mirage14–160.0114%4 Jul
inferno11–13-0.0218%4 Jul
anubis16–130.0130%4 Jul
mirage13–60.0121%30 Jun
dust213–16-0.0118%29 Jun
ancient13–50.0113%29 Jun
inferno16–120.0312%29 Jun
anubis10–13-0.0912%29 Jun
ancient13–50.0318%28 Jun
nuke8–13-0.0811%28 Jun
inferno0–3-0.040%28 Jun
ancient14–16-0.0511%21 Jun
ancient0–10-0.030%21 Jun
cache11–13-0.0413%21 Jun
cache13–110.0213%21 Jun
inferno5–130.0115%21 Jun
ancient5–13-0.0526%21 Jun
nuke13–50.1325%20 Jun
inferno13–90.0413%20 Jun
dust213–10-0.0916%20 Jun
ancient13–50.0811%20 Jun
nuke13–20.0733%19 Jun
dust210–13-0.0420%7 Jun
nuke6–13-0.0220%7 Jun
cache13–100.0238%7 Jun
italy13–11-0.048%7 Jun
nuke13–70.1021%6 Jun
anubis13–50.0220%6 Jun
ancient10–13-0.0711%5 Jun
mirage7–13-0.0611%5 Jun
ancient8–13-0.0314%2 Jun
inferno11–13-0.0214%2 Jun
inferno8–13-0.0129%29 May
nuke16–19-0.0218%27 May
inferno13–70.0023%23 May
mirage13–100.0024%23 May
nuke17–19-0.0320%23 May
ancient13–11-0.019%23 May
cache7–13-0.0222%21 May
anubis13–70.0522%21 May
anubis19–16-0.0015%19 May
nuke13–6-0.0119%19 May
dust213–100.0520%18 May
inferno13–30.0811%18 May
anubis13–70.0018%18 May
mirage10–13-0.0412%17 May
anubis11–130.0115%17 May
ancient13–10-0.0119%17 May

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →