Bene

Bene — CS2 Stats

CW76561198011930094[U:1:51664366]Steam profile ↗✓ No bans

282Tracked matches27%Win rate2021Tracked since
1,421Hours in CS16Hrs last 2 wks
CSDB Rating5.8 SolidSupport
Premier CS Rating15,769Purple band · top ~25.3% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,769 -1,061 16 Aug – 12 Oct · 21 days played
15,76918,024peak 18,02416 Aug12 Oct
18,158Peak Premier in tracked matches
23Days played since 2026-08-15

Premier CS Rating

  • 2,255 below peak (18,024)
  • -1,050 over 30 days · declining
  • Next: Pink band at 20,000 — 4,231 to go
  • Reached: Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=5,923), 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 2 medianLevel 3 medianvs Level 3
Headshot rate46.3%41.3%41.8%above
Shot accuracy11.8%12.7%12.2%0.4% short
Kill/death ratio0.840.950.980.14 short
Match win rate44.2%42.6%43.3%above

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBeneFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER15,769 · Purple bandcsdb.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

Aim75
Positioning55
Utility62

0–100 skill scores via Leetify.

Recent form

COLD39–56–5Last 10039%Win rateLLLLLLLLWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −1.1pp headshot accuracy · +85ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 548ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 596ms

Last 20

  • 3–17 · 15% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 554ms

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 (+2.9 against its own average).

Aim7.5
Utility6.2
Positioning5.5
Opening Duels1.4
Clutch0.0

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

Twistzz

Plays most like Twistzz 88% 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

Reaction time. 571ms 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

Aim7.5
Positioning5.5
Utility6.2
Mechanics8.2
Opening Duels3.1
Win Impact0.0

Composite 5.8/10 (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-0.02−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time565ms+17ms
first ⅓ avg 548ms → last ⅓ avg 565ms
Headshot accuracy15.6%−3.7%
first ⅓ avg 19.4% → last ⅓ avg 15.6%

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

0.09Best match rating · 13–5 · ancient, 27 Aug →
36%Best headshot accuracy · 7–13 · cache, 27 Aug →
367msFastest reaction time · 16–14 · inferno, 23 Sept →
13–1Biggest win · dust2, 13 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L8Current streak
4–4In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 62% over 13anubisWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
infernoC176–1135%-0.02
mirageD165–1131%-0.02
dust2C166–1038%-0.01
cacheC146–843%-0.02
nukeA138–562%-0.01
anubisD112–918%-0.02
ancientD103–730%-0.00
train—22–0100%0.02
overpass—11–0100%0.06

Across the last 100 tracked matches.

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

Lifetime stats

29,435Lifetime kills
0.84K/D
1,913Matches
44.2%Match win rate · Top 50% of Level 2 players
46.3%Headshot % · Top 50% of Level 2 players
11.8%Shot accuracy
3,405MVPs
911Hours (in match)
2,338Bombs planted
394Bombs defused

Most-used weapons

Lifetime map wins

3,488dust2
2,976inferno
1,986nuke
1,331train
356cbble
246vertigo
16aztec
2ar_shoots

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

Faceit stats

Combat

47Matches
51%Win rate
0.83Avg K/D
80.9ADR
36%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Nuke20%1.0015.0
Anubis1100%0.8113.0
Ancient1100%1.3822.0

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.

16.4%Headshot accuracy
36.1%Accuracy (enemy spotted)
36.0%Spray accuracy
87.1%Counter-strafing
9.8°Preaim
571msReaction time
49.2%T opening success
35.3%CT opening success
0.59Enemies flashed / flash
8.6%Flash assists
11.69HE damage / grenade
8.67Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 35.2609% — below the 40% mark we flag

Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient1–13-0.059%12 Oct →
nuke3–13-0.0819%12 Oct →
anubis10–130.079%11 Oct →
mirage9–130.0411%11 Oct →
inferno5–13-0.0014%11 Oct →
nuke1–13-0.0713%11 Oct →
cache3–13-0.0522%11 Oct →
ancient5–130.0118%11 Oct →
dust213–110.0110%8 Oct →
anubis16–130.0427%8 Oct →
cache5–130.0116%8 Oct →
dust27–13-0.0119%8 Oct →
nuke10–13-0.0022%7 Oct →
inferno8–13-0.0026%7 Oct →
anubis5–13-0.0415%6 Oct →
nuke4–13-0.0810%6 Oct →
cache7–13-0.0314%6 Oct →
cache13–9-0.0218%6 Oct →
inferno4–13-0.069%6 Oct →
dust210–13-0.0117%6 Oct →
dust24–13-0.0111%27 Sept →
cache13–50.0216%27 Sept →
ancient6–13-0.0515%27 Sept →
dust213–30.0111%27 Sept →
inferno5–13-0.0421%27 Sept →
mirage9–130.0028%26 Sept →
cache13–7-0.0120%26 Sept →
mirage13–5-0.0517%26 Sept →
nuke13–50.0513%26 Sept →
cache3–13-0.0511%26 Sept →
dust210–13-0.038%26 Sept →
inferno4–13-0.0822%26 Sept →
anubis13–20.066%26 Sept →
ancient3–13-0.0514%26 Sept →
nuke13–8-0.0110%26 Sept →
mirage4–13-0.0415%26 Sept →
inferno4–13-0.0119%26 Sept →
inferno15–15-0.0215%24 Sept →
mirage6–13-0.0521%24 Sept →
nuke11–130.0116%24 Sept →
cache13–5-0.0311%24 Sept →
mirage4–13-0.086%24 Sept →
inferno4–13-0.079%24 Sept →
dust24–13-0.0725%23 Sept →
anubis2–13-0.0517%23 Sept →
inferno16–14-0.0224%23 Sept →
anubis5–130.0116%22 Sept →
cache13–7-0.0019%22 Sept →
nuke13–90.0017%22 Sept →
inferno8–13-0.0429%22 Sept →
mirage15–15-0.0622%22 Sept →
cache8–130.0019%22 Sept →
mirage4–13-0.1014%13 Sept →
inferno13–90.0115%13 Sept →
mirage8–130.0011%13 Sept →
dust213–1-0.0429%13 Sept →
train13–20.0218%13 Sept →
dust28–13-0.019%12 Sept →
ancient9–130.0518%12 Sept →
dust211–13-0.078%11 Sept →
mirage13–2-0.0119%11 Sept →
inferno13–5-0.0331%11 Sept →
dust213–100.0323%11 Sept →
nuke16–12-0.0714%11 Sept →
dust213–80.0616%11 Sept →
nuke13–50.0426%10 Sept →
anubis6–13-0.0710%10 Sept →
cache15–15-0.0112%10 Sept →
mirage13–70.0321%10 Sept →
anubis14–16-0.0329%9 Sept →
ancient16–120.0116%9 Sept →
dust213–60.0117%8 Sept →
mirage13–9-0.0212%8 Sept →
inferno6–13-0.0517%8 Sept →
dust27–130.0219%8 Sept →
nuke13–40.0310%7 Sept →
mirage15–150.0017%7 Sept →
dust20–13-0.0518%7 Sept →
ancient7–13-0.0019%7 Sept →
anubis8–13-0.0612%7 Sept →
ancient13–100.0726%30 Aug →
inferno13–40.0031%30 Aug →
inferno13–110.0221%29 Aug →
cache13–7-0.0229%29 Aug →
mirage7–13-0.0321%29 Aug →
anubis11–13-0.0814%29 Aug →
nuke13–60.0817%29 Aug →
dust210–130.0520%27 Aug →
nuke16–140.0017%27 Aug →
cache7–13-0.0236%27 Aug →
inferno13–80.0127%27 Aug →
mirage4–130.0226%27 Aug →
inferno10–13-0.0218%27 Aug →
ancient13–50.097%27 Aug →
overpass13–90.0622%25 Aug →
cache3–13-0.0527%25 Aug →
anubis15–15-0.0513%25 Aug →
mirage13–30.0315%25 Aug →
ancient2–13-0.0929%16 Aug →
train13–60.026%15 Aug →

Match data via Leetify.

Recent teammates

Milestones

100 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.