Benson

Benson — CS2 Stats

AU76561198111581285[U:1:151315557]Steam profile ↗✓ No bans

439Tracked matches52%Win rate2020Tracked since
CSDB Rating6.3 SolidSupport
Premier CS Rating23,051Top 25% of 203,724 CSDB-tracked playersPink band · top ~5.1% of ranked players (population est.)
CSDB Leaderboard#41138 of 251067 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Aug 2026 (52 days ago). 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: 23,051 +13,052 24 Apr – 17 Aug · 36 days played
7,60023,755peak 23,75524 Apr17 Aug
24,184Peak Premier in tracked matches
53Days played since 2025-04-24

Premier CS Rating

  • 704 below peak (23,755)
  • Next: Red band at 25,000 — 1,949 to go
  • Reached: Pink band · 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.

Share this profile

CSDB.GGBensonPREMIER23,051 · Pink bandcsdb.gg/stats

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Performance scores

Aim69
Positioning61
Utility65

0–100 skill scores via Leetify.

Recent form

COLD56–41–3Last 10056%Win rateLWLLLWLLLL

Last 10 vs previous 10: −40pp win rate · +0.02 avg rating · +0.3pp headshot accuracy · −10ms reaction

Win rate down 40pp 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 678ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 628ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 633ms

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 (+1.1 against its own average).

Aim6.9
Utility6.5
Positioning6.1
Opening Duels3.7

Effective flashes

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 83% 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

Strengths

Flashes. 0.96 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 625ms 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

Aim6.9
Positioning6.1
Utility6.5
Mechanics6.7
Opening Duels3.1
Win Impact5.6

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time639ms−30ms
first ⅓ avg 669ms → last ⅓ avg 639ms
Headshot accuracy17.7%−2.1%
first ⅓ avg 19.8% → last ⅓ avg 17.7%

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

0.14Best match rating · 13–2 · cache, 20 Jul →
40%Best headshot accuracy · 13–5 · dust2, 14 Nov →
500msFastest reaction time · 13–10 · mirage, 21 May →
13–2Biggest win · cache, 20 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 71% over 7ancientWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB3720–1754%0.02
dust2A3117–1455%0.01
infernoB158–753%0.02
cacheS75–271%0.03
ancientC52–340%0.00
anubis—22–0100%0.08
nuke—21–150%-0.01
train—11–0100%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.9%Headshot accuracy
36.0%Accuracy (enemy spotted)
40.8%Spray accuracy
79.9%Counter-strafing
10.6°Preaim
625msReaction time
47.7%T opening success
37.5%CT opening success
0.96Enemies flashed / flash
11.0%Flash assists
12.75HE damage / grenade
7.39Flashes / 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 37.4827% — 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.

40% 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
dust211–130.0519%17 Aug →
mirage13–30.1225%16 Aug →
dust28–130.0317%16 Aug →
dust24–5-0.0135%15 Aug →
inferno7–13-0.0310%15 Aug →
cache13–30.0912%15 Aug →
mirage8–130.0530%15 Aug →
inferno11–13-0.0214%14 Aug →
dust25–13-0.0811%14 Aug →
mirage7–13-0.0114%14 Aug →
cache4–13-0.0121%14 Aug →
cache13–60.0013%14 Aug →
mirage13–5-0.0129%11 Aug →
cache13–11-0.0028%10 Aug →
mirage13–80.0314%8 Aug →
mirage10–13-0.0213%8 Aug →
mirage13–110.0213%5 Aug →
cache5–130.007%5 Aug →
dust26–13-0.0818%2 Aug →
dust213–110.0525%2 Aug →
dust213–80.0616%31 Jul →
mirage2–13-0.1214%21 Jul →
cache16–12-0.0021%21 Jul →
dust210–130.0017%20 Jul →
cache13–20.1413%20 Jul →
mirage13–90.0224%19 Jul →
inferno13–11-0.0518%18 Jul →
ancient15–150.0718%18 Jul →
dust213–11-0.0215%16 Jul →
dust213–100.0120%14 Jul →
mirage11–2-0.0219%14 Jul →
ancient6–13-0.049%9 Jan →
mirage9–13-0.0312%9 Jan →
mirage13–30.0426%8 Jan →
dust26–13-0.0219%30 Dec →
ancient13–10-0.0225%30 Dec →
mirage13–100.0424%29 Dec →
dust213–60.0815%29 Dec →
inferno11–70.0926%29 Dec →
mirage3–130.0222%29 Dec →
mirage7–13-0.0023%12 Dec →
dust213–50.0640%14 Nov →
inferno9–13-0.0020%13 Nov →
inferno9–130.0117%19 Oct →
dust210–130.0321%23 Aug →
anubis13–100.0417%24 Jun →
mirage15–15-0.0018%18 Jun →
inferno11–130.0423%17 Jun →
mirage13–100.048%16 Jun →
inferno13–80.0119%16 Jun →
mirage13–70.1418%13 Jun →
dust213–8-0.0027%13 Jun →
mirage13–30.1233%13 Jun →
inferno13–11-0.0216%13 Jun →
mirage6–130.007%12 Jun →
mirage13–80.0921%12 Jun →
mirage7–130.0018%12 Jun →
mirage4–13-0.0514%11 Jun →
mirage13–80.0913%11 Jun →
mirage13–100.1313%10 Jun →
nuke4–13-0.0419%7 Jun →
inferno13–110.1015%7 Jun →
inferno10–130.0326%7 Jun →
dust213–80.0510%6 Jun →
mirage13–16-0.0320%1 Jun →
dust213–2-0.0224%1 Jun →
dust213–80.1314%29 May →
dust213–40.0215%27 May →
anubis13–80.1219%27 May →
inferno13–70.0628%27 May →
ancient9–13-0.0117%27 May →
mirage2–13-0.1031%26 May →
mirage13–60.0731%26 May →
mirage13–80.1028%23 May →
mirage13–10-0.0123%21 May →
dust28–13-0.0116%21 May →
mirage11–13-0.0320%21 May →
dust213–80.0515%19 May →
mirage0–13-0.040%19 May →
dust213–90.0523%18 May →
dust27–13-0.0324%17 May →
inferno1–13-0.075%17 May →
dust211–13-0.0523%16 May →
mirage16–140.0318%15 May →
dust210–120.0632%15 May →
mirage12–160.0122%14 May →
dust213–30.0222%2 May →
inferno16–120.0621%2 May →
dust210–13-0.0316%2 May →
ancient13–100.0218%2 May →
dust216–14-0.0312%1 May →
inferno13–40.0521%29 Apr →
mirage10–130.0322%28 Apr →
dust216–130.0413%28 Apr →
nuke13–60.0217%28 Apr →
mirage13–30.1128%25 Apr →
dust215–150.0816%25 Apr →
dust26–13-0.0628%24 Apr →
mirage13–100.0413%24 Apr →
train13–90.0216%24 Apr →

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 →

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