Bensch

Bensch — CS2 Stats

AT76561198136137514[U:1:175871786]Steam profile ↗✓ No bans

2,386Tracked matches63%Win rate2020Tracked since
7,411Hours in CS7Hrs last 2 wks
CSDB Rating6.7 SolidSupport
FaceitLevel 10 · 2,258 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (28 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,258 → 2,258
+10Tracked matches · now 2,386
+3.3ppWin rate · 60.0% → 63.3%

Rating over time

Faceit ELO: 2,258 +0 2 Sept – 4 Sept · 2 observations
2,2582,258peak 2,2582 Sept4 Sept
2,258Highest Faceit ELO seen on CSDB
65Days played since 2025-01-28

Faceit ELO

  • At peak — 2,258
  • Next: 2,500 ELO at 2,500 — 242 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-02
  • Level 9 first seen 2026-09-02

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches24——
Win rate42%——
K/D1.34——
Headshot %59%——

Measured 2 Sep 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,274), 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 10 median
Headshot rate50.9%50.9%
Shot accuracy19.1%13.8%
Kill/death ratio1.091.09
Match win rate50.1%48.4%

Share this profile

CSDB.GGBenschFACEITLevel 10 · 2,258 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,258csdb.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

Aim78
Positioning59
Utility64

0–100 skill scores via Leetify.

Recent form

HOT50–48–2Last 10050%Win rateWWWWLWWLWL

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · +1.7pp headshot accuracy · −34ms reaction

Win rate +10pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 500ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 515ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 532ms

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).

Aim7.8
Utility6.4
Positioning5.9
Opening Duels4.0
Clutch3.6

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

NiKo

Plays most like NiKo 91% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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. 552ms 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

Aim7.8
Positioning5.9
Utility6.4
Mechanics6.1
Opening Duels3.4
Win Impact9.4

Composite 6.7/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time551ms−35ms
first ⅓ avg 587ms → last ⅓ avg 551ms
Headshot accuracy19.4%−1.1%
first ⅓ avg 20.6% → last ⅓ avg 19.4%

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

0.24Best match rating · 6–1 · overpass, 28 Jul →
40%Best headshot accuracy · 15–15 · dust2, 2 Feb →
367msFastest reaction time · 10–13 · inferno, 29 Jun →
13–0Biggest win · dust2, 28 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W4Current streak
11–12In matches decided by ≤2 rounds
16Overtime games

Map breakdown

ancientBest map · 56% over 25mirageWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
ancientA2514–1156%0.01
infernoA2011–955%0.00
anubisB189–950%0.02
dust2B147–750%-0.01
mirageD92–722%-0.02
overpassB63–350%0.05
train—32–167%-0.01
cache—21–150%0.00
agency—10–10%0.05
jura—10–10%0.07
nuke—11–0100%0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (22% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

263,841Lifetime kills
1.09K/D · Top 50% of Level 10 players
10,523Matches
50.1%Match win rate · Top 50% of Level 10 players
50.9%Headshot %
19.1%Shot accuracy · Top 10% of Level 10 players
25,996MVPs
5,252Hours (in match)
11,328Bombs planted
3,999Bombs defused

Most-used weapons

AK-4779,801
AWP34,128
SG 55311,133
P2506,332
FAMAS4,201
Knife3,879

Lifetime map wins

27,209inferno
8,108dust2
5,768train
3,382cbble
2,022nuke
858vertigo
181lake
133office

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

Faceit stats

Combat

2,858Matches
51%Win rate
1.08Avg K/D
82.0ADR
48%Headshot %

Clutches & streaks

38%1v1 clutch win
24%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient21252%1.1817.2
Inferno16155%1.0915.9
Anubis15545%1.1016.3
Dust213042%1.0315.6
Overpass7469%1.3317.1
Mirage4337%0.8414.5
Cache2152%1.1313.7
Train2045%1.0015.1

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.

18.5%Headshot accuracy
35.8%Accuracy (enemy spotted)
40.3%Spray accuracy
77.4%Counter-strafing
8.8°Preaim
552msReaction time
36.2%T opening success
51.0%CT opening success
0.52Enemies flashed / flash
5.8%Flash assists
10.02HE damage / grenade
10.34Flashes / 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 36.2383% — below the 40% mark we flag

Spend your practice time on Mirage

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.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno16–12-0.0418%31 Aug →
dust216–140.0014%24 Aug →
ancient13–90.0213%15 Aug →
ancient13–7-0.0117%1 Aug →
dust27–13-0.0714%31 Jul →
ancient13–80.0233%31 Jul →
inferno13–10.1421%22 Jul →
anubis4–13-0.0419%13 Jul →
anubis16–12-0.0115%8 Jul →
inferno6–13-0.0336%4 Jul →
inferno10–13-0.0513%29 Jun →
ancient13–60.1220%20 Jun →
ancient13–60.1018%17 Jun →
anubis13–70.0822%17 Jun →
overpass19–220.0219%9 Jun →
inferno13–100.019%6 Jun →
anubis8–130.0233%31 May →
inferno16–120.0117%31 May →
ancient11–130.0112%31 May →
ancient13–11-0.0221%30 May →
anubis13–80.0110%30 May →
ancient16–130.0217%27 May →
inferno13–60.0614%27 May →
anubis11–130.0224%27 May →
cache13–110.0220%24 May →
cache7–13-0.0118%14 May →
dust213–110.0418%2 May →
anubis11–130.0319%21 Apr →
ancient13–90.0028%21 Apr →
ancient11–13-0.0411%20 Apr →
anubis5–13-0.0231%11 Apr →
overpass13–9-0.0226%9 Apr →
inferno3–9-0.1220%9 Apr →
inferno13–11-0.0216%4 Apr →
anubis10–130.0931%27 Mar →
ancient13–30.0416%27 Mar →
anubis13–40.1025%15 Mar →
anubis22–200.0414%19 Feb →
mirage13–110.0217%10 Feb →
dust213–9-0.0110%10 Feb →
ancient10–13-0.0712%10 Feb →
mirage13–11-0.0232%2 Feb →
dust215–15-0.0440%2 Feb →
ancient3–13-0.0436%9 Jan →
mirage13–16-0.0612%4 Jan →
train6–13-0.0833%29 Nov →
ancient13–50.0627%27 Nov →
mirage9–130.0015%21 Nov →
ancient4–13-0.0236%15 Nov →
mirage4–13-0.0717%15 Nov →
inferno4–13-0.0226%15 Nov →
dust211–13-0.0514%24 Oct →
dust215–15-0.0128%24 Oct →
inferno11–130.0415%24 Oct →
mirage6–13-0.0615%22 Oct →
mirage11–13-0.0016%11 Oct →
inferno9–13-0.0325%11 Oct →
ancient13–30.0734%21 Sept →
overpass13–60.0620%2 Aug →
dust210–130.0023%2 Aug →
mirage8–13-0.058%29 Jul →
ancient11–13-0.0423%29 Jul →
overpass5–13-0.0114%29 Jul →
mirage9–130.0623%28 Jul →
overpass6–10.2432%28 Jul →
dust213–00.025%28 Jul →
overpass11–130.0317%25 Jul →
agency8–130.0535%8 Jul →
jura7–130.0716%8 Jul →
ancient13–100.0623%4 Jul →
inferno15–190.0318%28 May →
anubis13–5-0.0025%28 May →
inferno1–13-0.0214%27 May →
dust26–130.0129%27 May →
dust213–30.0415%17 May →
inferno13–90.0332%15 May →
anubis13–70.0417%15 May →
anubis13–5-0.0324%8 May →
dust213–8-0.0318%28 Apr →
ancient6–13-0.0321%28 Apr →
dust213–110.0320%25 Apr →
ancient13–11-0.0440%25 Apr →
anubis14–16-0.0513%18 Apr →
inferno16–12-0.0117%18 Apr →
ancient16–130.0319%6 Apr →
dust29–13-0.0421%25 Feb →
ancient6–13-0.0424%18 Feb →
inferno16–130.0418%16 Feb →
nuke13–110.0716%15 Feb →
inferno13–9-0.0115%11 Feb →
anubis13–80.0720%9 Feb →
train13–50.0127%8 Feb →
anubis6–13-0.0216%6 Feb →
inferno11–13-0.0224%6 Feb →
inferno13–50.034%4 Feb →
ancient11–130.0022%4 Feb →
train16–120.0326%4 Feb →
ancient6–13-0.0122%28 Jan →
ancient5–130.0617%28 Jan →
anubis1–13-0.0511%28 Jan →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 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.