Ben- (Unc)

Ben- (Unc) — CS2 Stats

CA76561198001016547[U:1:40750819]Steam profile ↗✓ No bans

3,155Tracked matches50%Win rate2020Tracked since
6,469Hours in CS16Hrs last 2 wks
CSDB Rating5.7 SolidPositional Player
CSDB Leaderboard#84201 of 252595 tracked
FaceitLevel 5 · 1,284 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,284 → 1,284
+13Tracked matches · now 3,155
−15.5ppWin rate · 65.5% → 50.0%

Rating over time

Premier CS Rating: 19,924 +1,246 28 Jun – 4 Oct · 16 days played
18,61019,924peak 19,92428 Jun4 Oct
Faceit ELO: 1,284 +0 29 Aug – 4 Oct · 4 observations
1,2841,284peak 1,28429 Aug4 Oct
20,105Peak Premier in tracked matches
1,284Highest Faceit ELO seen on CSDB
31Days played since 2026-06-21

Faceit ELO

  • At peak — 1,284
  • 0 over 30 days · steady
  • Next: Level 7 at 1,351 — 67 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-08-29
  • Level 5 first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,934), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate42.6%43.7%44.8%2.2% short
Shot accuracy14.8%12.0%12.4%above
Kill/death ratio0.981.021.030.05 short
Match win rate42.7%44.7%45.2%2.5% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBen- (Unc)FACEITLevel 5 · 1,284 ELOSTANDINGTop 67.6% of ranked30 DAYS0 ELOPEAK ELO1,284csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim71
Positioning68
Utility45

0–100 skill scores via Leetify.

Recent form

COLD47–51–2Last 10047%Win rateWLLLLLWLLL

Last 10 vs previous 10: −50pp win rate · +0.00 avg rating · +6.0pp headshot accuracy · −19ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 547ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 547ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 556ms

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: Positional Player — Positioning stands above the rest of this profile (+2.1 against its own average).

Aim7.1
Utility4.5
Positioning6.8
Opening Duels3.7
Clutch3.8

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

donk

Plays most like donk 91% playstyle similarity

Most alike: positioning profile, 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

Reaction time. 574ms 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

Aim7.1
Positioning6.8
Utility4.5
Mechanics7.9
Opening Duels5.1
Win Impact5.0

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time578ms+15ms
first ⅓ avg 563ms → last ⅓ avg 578ms
Headshot accuracy14.9%−2.6%
first ⅓ avg 17.5% → last ⅓ avg 14.9%

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

0.08Best match rating · 10–13 · ancient, 7 Oct →
44%Best headshot accuracy · 13–2 · inferno, 17 Jul →
406msFastest reaction time · 3–13 · inferno, 19 Jul →
13–1Biggest win · cache, 18 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–10In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 80% over 10cacheWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
ancientB2110–1148%0.00
infernoC188–1044%0.00
nukeC176–1135%0.00
anubisS1510–567%-0.01
cacheD134–931%-0.02
mirageS108–280%0.01
dust2—41–325%-0.03
vertigo—10–10%0.04
train—10–10%-0.01

Across the last 100 tracked matches.

Lifetime stats

134,751Lifetime kills
0.98K/D
6,017Matches
42.7%Match win rate
42.6%Headshot %
14.8%Shot accuracy · Top 50% of Level 5 players
13,177MVPs
3,347Hours (in match)
9,552Bombs planted
2,042Bombs defused

Most-used weapons

AK-4743,366
AWP8,481
P905,671
P2503,604
XM10143,436
Knife3,375

Lifetime map wins

13,654inferno
11,976dust2
5,655nuke
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

2,005Matches
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 resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient17452%1.0014.1
Mirage13547%0.9513.5
Anubis12149%1.0414.5
Inferno10554%1.0815.2
Nuke7946%0.9714.8
Dust26148%0.9415.1
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.

15.3%Headshot accuracy
36.8%Accuracy (enemy spotted)
40.5%Spray accuracy
85.4%Counter-strafing
11.7°Preaim
574msReaction time
52.1%T opening success
48.5%CT opening success
0.52Enemies flashed / flash
4.8%Flash assists
7.30HE damage / grenade
8.82Flashes / match

Recommended for you

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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis13–90.0316%15 Oct →
ancient5–13-0.094%15 Oct →
ancient10–13-0.0323%8 Oct →
ancient10–130.0831%7 Oct →
nuke12–16-0.0415%6 Oct →
nuke11–130.0020%6 Oct →
inferno16–130.0110%6 Oct →
nuke9–130.0224%6 Oct →
inferno7–130.0515%4 Oct →
mirage10–13-0.0316%4 Oct →
ancient10–130.045%4 Oct →
nuke9–13-0.0414%29 Sept →
mirage13–100.0713%21 Sept →
anubis13–7-0.015%21 Sept →
nuke13–11-0.0115%20 Sept →
inferno13–5-0.019%20 Sept →
anubis13–10-0.0611%20 Sept →
anubis7–13-0.0315%20 Sept →
mirage13–100.0019%19 Sept →
mirage13–90.0210%19 Sept →
ancient8–130.0324%19 Sept →
nuke13–110.0130%19 Sept →
ancient13–110.0523%19 Sept →
ancient2–13-0.057%19 Sept →
ancient2–130.0511%19 Sept →
anubis8–13-0.0315%11 Sept →
nuke13–90.0517%11 Sept →
ancient13–80.029%11 Sept →
anubis13–7-0.026%8 Sept →
dust213–20.0320%7 Sept →
anubis14–16-0.0110%7 Sept →
inferno13–60.0111%7 Sept →
anubis13–70.0319%7 Sept →
cache13–6-0.0223%6 Sept →
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 →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.