Benmeister

Benmeister — CS2 Stats

DE76561198975627399[U:1:1015361671]Steam profile ↗✓ No bans

1,116Tracked matches45%Win rate2020Tracked since
859Hours in CS
CSDB Rating5.5 SolidPositional Player
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,116 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 23,515 +3,073 12 Feb – 5 Jul · 18 days played
20,06223,515peak 23,51512 Feb5 Jul
23,880Peak Premier in tracked matches
45Days played since 2026-02-07

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 7 days vs previous 7

No matches recorded between 23 Sep 2026 and 1 Oct 2026.

Measured 23 Sep 2026 → 1 Oct 2026; no observation near 14 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 8 among CSDB-tracked players (n=14,745), 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 8 medianLevel 9 medianvs Level 9
Headshot rate50.1%46.8%48.2%above
Shot accuracy8.0%13.0%13.3%5.2% short
Kill/death ratio1.251.061.07above
Match win rate53.0%46.3%46.9%above

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBenmeisterFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim77
Positioning56
Utility29

0–100 skill scores via Leetify.

Recent form

COLD49–49–2Last 10049%Win rateLLWWLLLLLW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +0.7pp headshot accuracy · −26ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 552ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 553ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 566ms

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 (+1.8 against its own average).

Aim7.7
Utility2.9
Positioning5.6
Opening Duels2.9
Clutch3.8

Limited utility dependence

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

ropz

Plays most like ropz 90% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 47% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 591ms 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

Aim7.7
Positioning5.6
Utility2.9
Mechanics7.3
Opening Duels2.1
Win Impact3.3

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-0.02−0.04
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time600ms−47ms
first ⅓ avg 647ms → last ⅓ avg 600ms
Headshot accuracy18.7%−3.7%
first ⅓ avg 22.4% → last ⅓ avg 18.7%

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

0.12Best match rating · 6–1 · vertigo, 25 Apr →
43%Best headshot accuracy · 4–13 · inferno, 8 May →
414msFastest reaction time · 5–13 · inferno, 26 Aug →
13–1Biggest win · nuke, 4 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
5–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 100% over 5infernoWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB209–1145%-0.03
nukeS1512–380%0.00
cacheC125–742%-0.01
infernoD112–918%-0.01
dust2D102–820%-0.02
overpassA95–456%0.01
vertigoB63–350%0.01
ancientB63–350%0.01
anubisS55–0100%0.01
alpine—21–150%-0.06
boulder—10–10%-0.04
office—10–10%-0.03
stronghold—11–0100%0.01
warden—11–0100%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

54,231Lifetime kills
1.25K/D · Top 25% of Level 8 players
2,850Matches
53.0%Match win rate · Top 10% of Level 8 players
50.1%Headshot % · Top 50% of Level 8 players
8.0%Shot accuracy
9,660MVPs
859Hours (in match)
3,128Bombs planted
522Bombs defused

Most-used weapons

Lifetime map wins

4,701vertigo
2,643inferno
2,085nuke
1,885dust2
623train
556cbble
507office
108lake

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

Faceit stats

Combat

124Matches
57%Win rate
1.21Avg K/D
80.5ADR
47%Headshot %

Clutches & streaks

39%1v1 clutch win
18%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis3060%1.3017.3
Vertigo2454%1.0717.8
Inferno1443%1.2317.6
Mirage757%1.1820.6
Dust2757%1.1017.1
Ancient540%1.2116.0
Nuke2100%0.9617.5
Overpass2100%1.3418.5

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.

19.1%Headshot accuracy
36.6%Accuracy (enemy spotted)
38.3%Spray accuracy
83.0%Counter-strafing
9.5°Preaim
591msReaction time
24.0%T opening success
46.9%CT opening success
0.58Enemies flashed / flash
5.4%Flash assists
7.93HE damage / grenade
1.37Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.3721 — below the 4 mark we flag

    Grenade Lineups →
  2. 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 23.9644% — below the 40% mark we flag

Spend your practice time on Inferno

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage4–13-0.0711%15 Sept →
mirage8–13-0.0617%4 Sept →
nuke13–50.0216%28 Aug →
nuke13–20.0113%28 Aug →
inferno5–13-0.0531%26 Aug →
mirage8–13-0.0216%26 Aug →
boulder5–13-0.0425%22 Aug →
mirage11–13-0.0224%22 Aug →
nuke6–13-0.0419%22 Aug →
vertigo13–40.0225%8 Aug →
cache12–120.0232%6 Aug →
office3–7-0.0316%5 Aug →
inferno9–13-0.0319%11 Jul →
dust25–130.0029%11 Jul →
nuke13–6-0.0415%11 Jul →
cache13–100.0415%10 Jul →
mirage6–130.0023%10 Jul →
inferno11–13-0.0121%10 Jul →
anubis13–7-0.015%10 Jul →
ancient13–70.0116%10 Jul →
mirage5–13-0.0912%5 Jul →
dust213–100.0012%5 Jul →
mirage13–8-0.0717%5 Jul →
mirage13–11-0.0519%5 Jul →
overpass5–130.0226%4 Jul →
mirage13–9-0.0126%4 Jul →
nuke13–1-0.039%4 Jul →
dust27–13-0.0220%4 Jul →
mirage16–13-0.0316%27 Jun →
dust26–13-0.0822%26 Jun →
mirage3–13-0.0729%26 Jun →
nuke16–13-0.0512%18 Jun →
cache10–13-0.049%29 May →
cache13–20.0428%29 May →
nuke13–7-0.0417%29 May →
overpass13–60.0214%29 May →
inferno14–16-0.0519%21 May →
cache6–130.0034%19 May →
overpass11–13-0.0616%9 May →
alpine13–3-0.0415%8 May →
stronghold13–110.0123%8 May →
warden13–9-0.0331%8 May →
inferno4–13-0.0843%8 May →
mirage5–13-0.0412%8 May →
cache6–130.0623%8 May →
cache12–10.0116%8 May →
cache13–8-0.048%8 May →
cache12–12-0.0918%6 May →
cache3–13-0.0817%29 Apr →
cache8–13-0.0213%29 Apr →
cache13–50.0219%29 Apr →
anubis13–80.0118%28 Apr →
nuke13–90.0111%28 Apr →
dust213–90.0110%26 Apr →
mirage11–13-0.0420%26 Apr →
vertigo0–13-0.0417%25 Apr →
vertigo6–10.1226%25 Apr →
dust26–13-0.0121%21 Apr →
inferno13–40.0927%19 Apr →
dust21–13-0.0713%19 Apr →
mirage13–9-0.0125%19 Apr →
nuke13–110.0220%19 Apr →
overpass13–100.0123%18 Apr →
mirage6–13-0.0418%14 Apr →
inferno4–9-0.0835%5 Apr →
vertigo1–9-0.1225%5 Apr →
vertigo5–9-0.0326%29 Mar →
overpass13–100.1017%27 Mar →
anubis13–50.0818%27 Mar →
inferno9–50.1033%27 Mar →
vertigo9–40.1129%15 Mar →
mirage13–50.0127%7 Mar →
nuke13–60.0020%7 Mar →
alpine2–13-0.0929%6 Mar →
mirage16–12-0.0222%5 Mar →
nuke5–13-0.0315%26 Feb →
nuke13–110.0223%23 Feb →
overpass13–7-0.0110%23 Feb →
nuke11–130.0621%23 Feb →
ancient4–130.0428%21 Feb →
inferno11–130.0427%21 Feb →
mirage13–160.0134%12 Feb →
inferno11–13-0.0716%12 Feb →
mirage13–2-0.0038%12 Feb →
ancient16–140.0128%12 Feb →
ancient13–60.0124%11 Feb →
overpass13–8-0.0126%11 Feb →
dust28–130.0416%10 Feb →
nuke13–60.1019%10 Feb →
inferno3–130.0128%10 Feb →
overpass8–130.0121%10 Feb →
ancient10–13-0.0215%10 Feb →
nuke13–50.0321%9 Feb →
anubis13–7-0.009%9 Feb →
dust25–13-0.0128%9 Feb →
ancient7–13-0.0112%9 Feb →
anubis13–9-0.0218%8 Feb →
dust28–13-0.0427%8 Feb →
mirage13–20.0117%8 Feb →
overpass7–13-0.0324%7 Feb →

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.