BENNy

BENNy — CS2 Stats

76561198040784360[U:1:80518632]Steam profile ↗✓ No bans

1,608Tracked matches33%Win rate2020Tracked since
5,599Hours in CS5Hrs last 2 wks
CSDB Rating5.0 DevelopingSupport
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 1,608
−3.3ppWin rate · 36.7% → 33.3%

Rating over time

Premier CS Rating: 24,999 +1,770 9 Mar – 26 May · 12 days played
23,22925,115peak 25,1159 Mar26 May
25,115Peak Premier in tracked matches
48Days played since 2026-03-09

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches19——
Win rate37%——
K/D0.92——
Headshot %43%——

Measured 29 Aug 2026 → 28 Sep 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 8 among CSDB-tracked players (n=14,726), 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 rate45.4%46.8%48.2%2.8% short
Shot accuracy15.9%13.0%13.3%above
Kill/death ratio0.901.061.070.17 short
Match win rate49.1%46.3%46.9%above

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. 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.GGBENNyFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.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

Aim57
Positioning55
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateLWWLLLWWWL

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · −3.3pp headshot accuracy · +1ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 617ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 601ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 600ms

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 (+2.1 against its own average).

Aim5.7
Utility6.7
Positioning5.5
Opening Duels3.4
Clutch3.0

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

NiKo

Plays most like NiKo 74% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 605ms 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

Aim5.7
Positioning5.5
Utility6.7
Mechanics5.7
Opening Duels3.0
Win Impact0.0

Composite 5.0/10 (Developing), 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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time614ms−34ms
first ⅓ avg 648ms → last ⅓ avg 614ms
Headshot accuracy17.8%−0.5%
first ⅓ avg 18.2% → last ⅓ avg 17.8%

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

0.17Best match rating · 13–3 · dust2, 12 May →
40%Best headshot accuracy · 13–4 · overpass, 13 Mar →
406msFastest reaction time · 2–13 · overpass, 26 May →
13–2Biggest win · inferno, 28 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 67% over 12ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B3114–1745%0.01
anubisB2010–1050%-0.00
mirageS128–467%-0.01
cacheB105–550%0.00
nukeC73–443%-0.04
overpassC73–443%-0.02
infernoB63–350%-0.01
ancientD51–420%-0.01
train—21–150%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

158,674Lifetime kills
0.90K/D
7,091Matches
49.1%Match win rate · Top 25% of Level 8 players
45.4%Headshot %
15.9%Shot accuracy · Top 25% of Level 8 players
18,615MVPs
4,339Hours (in match)
13,827Bombs planted
3,009Bombs defused

Most-used weapons

AK-4754,655
AWP10,544
P2503,458
Knife3,010
MP92,464
FAMAS2,332

Lifetime map wins

18,065inferno
13,160dust2
7,785nuke
3,702train
2,835vertigo
1,180cbble
380office
117lake

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

Faceit stats

Combat

1,964Matches
51%Win rate
0.87Avg K/D
69.3ADR
44%Headshot %

Clutches & streaks

35%1v1 clutch win
19%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust29343%0.9313.9
Anubis5652%0.9114.0
Mirage5252%0.9012.2
Ancient4050%1.0313.0
Nuke3554%0.8413.3
Inferno2955%0.9413.0
Cache2548%1.1413.6
Train1250%0.9315.0

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.

17.7%Headshot accuracy
32.1%Accuracy (enemy spotted)
36.5%Spray accuracy
75.8%Counter-strafing
10.9°Preaim
605msReaction time
35.9%T opening success
48.0%CT opening success
0.69Enemies flashed / flash
7.3%Flash assists
10.02HE damage / grenade
12.90Flashes / 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 35.8746% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient7–130.0320%26 Sept →
mirage13–80.0714%25 Sept →
anubis13–60.0218%25 Sept →
inferno9–130.0320%20 Sept →
nuke8–13-0.059%9 Sept →
mirage10–13-0.0217%17 Aug →
dust213–80.0722%14 Aug →
dust213–110.0517%13 Aug →
anubis13–11-0.0111%10 Aug →
mirage11–13-0.068%7 Aug →
anubis11–130.0121%7 Aug →
dust26–13-0.0015%7 Aug →
mirage13–50.0111%5 Aug →
dust28–13-0.0517%4 Aug →
mirage11–13-0.0131%4 Aug →
anubis9–13-0.0119%31 Jul →
anubis0–7-0.0012%31 Jul →
anubis6–13-0.0313%30 Jul →
inferno4–13-0.0326%28 Jul →
inferno13–11-0.0725%27 Jul →
ancient16–120.0123%27 Jul →
cache10–13-0.0920%27 Jul →
dust213–16-0.0114%27 Jul →
cache13–70.1520%10 Jul →
ancient10–13-0.0313%4 Jul →
cache13–70.0320%2 Jul →
inferno6–130.0121%1 Jul →
dust213–16-0.0317%23 Jun →
dust24–130.0117%16 Jun →
nuke9–13-0.0515%10 Jun →
dust213–90.0017%7 Jun →
dust219–160.0314%5 Jun →
dust213–30.0429%5 Jun →
nuke3–13-0.1024%31 May →
cache13–5-0.0125%27 May →
anubis13–60.1516%27 May →
train13–90.0824%27 May →
dust213–90.0521%27 May →
overpass2–13-0.1124%26 May →
anubis11–13-0.0323%26 May →
dust216–130.0433%26 May →
overpass11–130.0013%25 May →
overpass15–15-0.0313%25 May →
inferno13–110.0114%25 May →
anubis15–150.0118%25 May →
train1–13-0.0514%22 May →
anubis2–13-0.096%22 May →
cache5–130.0229%22 May →
mirage13–60.0033%22 May →
cache6–13-0.0119%21 May →
mirage13–80.0329%21 May →
mirage13–10-0.0714%19 May →
overpass6–13-0.0121%18 May →
dust215–15-0.0225%18 May →
mirage13–70.0514%18 May →
nuke12–4-0.0224%18 May →
anubis9–00.0320%18 May →
anubis10–13-0.0321%13 May →
ancient13–16-0.0712%13 May →
nuke6–13-0.0227%13 May →
dust213–30.1726%12 May →
cache13–100.0327%12 May →
overpass13–50.0414%12 May →
cache13–3-0.0520%12 May →
cache10–13-0.0031%12 May →
dust29–13-0.036%12 May →
mirage7–13-0.0524%12 May →
dust25–13-0.0212%12 May →
dust29–13-0.0121%11 May →
mirage13–90.0117%11 May →
cache8–13-0.0116%11 May →
anubis13–70.0010%11 May →
anubis10–130.0220%11 May →
dust213–110.0731%11 May →
anubis11–130.0320%10 May →
anubis13–10-0.0311%3 May →
dust213–80.0628%30 Apr →
anubis13–3-0.038%28 Apr →
dust213–50.0622%28 Apr →
inferno13–2-0.0322%28 Apr →
dust22–13-0.1013%26 Apr →
dust212–16-0.0528%24 Apr →
anubis13–11-0.0321%24 Apr →
nuke13–60.0322%22 Mar →
anubis13–90.037%22 Mar →
mirage13–9-0.0510%20 Mar →
dust24–130.0319%20 Mar →
dust214–16-0.0321%17 Mar →
overpass13–4-0.0240%13 Mar →
dust213–6-0.0216%13 Mar →
dust28–13-0.0312%12 Mar →
ancient8–13-0.0010%12 Mar →
dust213–160.0629%12 Mar →
anubis13–6-0.0513%12 Mar →
dust26–13-0.0011%12 Mar →
dust213–60.0527%11 Mar →
overpass13–8-0.0211%11 Mar →
dust213–6-0.0124%11 Mar →
nuke13–11-0.0613%9 Mar →
dust27–13-0.0718%9 Mar →

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.