Benzo_998

Benzo_998 — CS2 Stats

76561198418060924[U:1:457795196]Steam profile ↗✓ No bans

461Tracked matches73%Win rate2024Tracked since
350Hours in CS7Hrs last 2 wks
CSDB Rating4.0 DevelopingPositional Player
Premier CS Rating13,262Blue band · top ~37.6% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (3 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: 13,262 +313 3 Jun – 3 Oct · 22 days played
8,13813,262peak 13,2623 Jun3 Oct
13,826Peak Premier in tracked matches
31Days played since 2026-06-03

Premier CS Rating

  • At peak — 13,262
  • +1,384 over 30 days · improving
  • +1,835 over 90 days
  • Next: Purple band at 15,000 — 1,738 to go
  • Reached: 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate37.0%42.0%44.3%7.4% short
Shot accuracy0.0%9.6%11.9%11.9% short
Kill/death ratio1.000.981.030.03 short
Match win rate49.1%43.8%45.2%above

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGBenzo_998PREMIER13,262 · Blue bandcsdb.gg/stats

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Performance scores

Aim47
Positioning45
Utility10

0–100 skill scores via Leetify.

Recent form

HOT51–45–4Last 10051%Win rateLWWWLWWWLW

Last 10 vs previous 10: +10pp win rate · −0.14 avg rating · −3.3pp headshot accuracy · +5ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 530ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 10%
  • Avg reaction 559ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 12%
  • Avg reaction 556ms

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 (+2.1 against its own average).

Aim4.7
Utility1.0
Positioning4.5
Opening Duels1.7

Strong CT-side openerLimited 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

donk

Plays most like donk 86% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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 55% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 580ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.7
Positioning4.5
Utility1.0
Mechanics3.0
Opening Duels3.2
Win Impact10.0

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.06
first ⅓ avg -0.02 → last ⅓ avg 0.05
Reaction time571ms−77ms
first ⅓ avg 648ms → last ⅓ avg 571ms
Headshot accuracy11.9%−3.0%
first ⅓ avg 14.9% → last ⅓ avg 11.9%

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

0.58Best match rating · 9–0 · overpass, 1 Sept →
29%Best headshot accuracy · 9–13 · inferno, 21 Jul →
391msFastest reaction time · 1–13 · nuke, 14 Sept →
13–2Biggest win · cache, 8 Aug →

Across the last 100 tracked matches.

Highlights

11Longest win streak
7–5In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 64% over 11dust2Weakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
nukeB2614–1254%0.03
ancientB2010–1050%-0.03
infernoB168–850%-0.00
mirageA117–464%-0.01
anubisC94–544%-0.00
dust2D62–433%0.00
cacheA53–260%0.02
overpassC52–340%0.11
vertigo—21–150%0.18

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

8,113Lifetime kills
1.00K/D · Top 50% of Blue band
639Matches
49.1%Match win rate · Top 25% of Blue band
37.0%Headshot %
0.0%Shot accuracy
1,442MVPs
184Hours (in match)
636Bombs planted
109Bombs defused

Most-used weapons

Lifetime map wins

1,253nuke
981inferno
475vertigo
461dust2
31office
23train
11italy
5cbble

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

Skill profile

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

11.1%Headshot accuracy
36.4%Accuracy (enemy spotted)
34.0%Spray accuracy
63.3%Counter-strafing
10.4°Preaim
580msReaction time
15.0%T opening success
55.2%CT opening success
0.05Enemies flashed / flash
0.0%Flash assists
8.03HE damage / grenade
0.68Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.0975% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.0503 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 15% — below the 40% mark we flag

Spend your practice time on Dust 2

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno4–13-0.0522%3 Oct →
inferno13–9-0.074%3 Oct →
nuke13–90.0710%3 Oct →
mirage13–90.018%14 Sept →
nuke1–13-0.055%14 Sept →
cache13–110.0811%11 Sept →
nuke13–60.089%10 Sept →
ancient13–9-0.0610%9 Sept →
nuke8–13-0.048%9 Sept →
cache13–40.0116%9 Sept →
nuke13–110.0310%9 Sept →
inferno13–90.0611%4 Sept →
nuke3–13-0.065%4 Sept →
dust213–30.0119%1 Sept →
overpass9–00.5826%1 Sept →
nuke7–90.0811%1 Sept →
vertigo9–20.3115%1 Sept →
nuke9–10.2617%1 Sept →
inferno4–90.0612%1 Sept →
nuke5–90.088%21 Aug →
vertigo5–90.0518%21 Aug →
overpass8–8-0.040%21 Aug →
inferno9–30.1514%21 Aug →
anubis13–90.0411%19 Aug →
nuke13–50.1111%19 Aug →
anubis13–70.1017%18 Aug →
ancient13–4-0.089%17 Aug →
ancient13–10-0.077%17 Aug →
nuke13–7-0.0119%17 Aug →
inferno13–7-0.0410%17 Aug →
mirage13–11-0.0412%17 Aug →
dust213–3-0.0222%17 Aug →
anubis13–7-0.069%17 Aug →
nuke12–160.0414%17 Aug →
cache8–13-0.0119%17 Aug →
nuke13–90.097%13 Aug →
ancient13–6-0.045%12 Aug →
nuke8–13-0.017%12 Aug →
ancient8–13-0.0712%12 Aug →
nuke13–9-0.027%12 Aug →
ancient11–13-0.006%12 Aug →
nuke13–110.0510%10 Aug →
ancient8–130.008%10 Aug →
nuke13–110.056%9 Aug →
mirage13–5-0.0410%9 Aug →
ancient9–13-0.075%8 Aug →
dust214–160.0618%8 Aug →
cache15–150.0012%8 Aug →
nuke10–13-0.034%8 Aug →
anubis8–13-0.1117%8 Aug →
inferno8–13-0.042%8 Aug →
anubis2–130.0619%8 Aug →
inferno13–50.0314%8 Aug →
cache13–2-0.0014%8 Aug →
mirage1–13-0.060%7 Aug →
inferno11–130.0010%7 Aug →
ancient7–130.0618%4 Aug →
mirage3–130.0512%4 Aug →
nuke8–80.159%4 Aug →
nuke13–7-0.047%27 Jul →
dust24–13-0.090%27 Jul →
ancient15–15-0.0218%27 Jul →
nuke3–13-0.0212%27 Jul →
anubis13–70.028%27 Jul →
anubis5–130.057%27 Jul →
dust28–130.0111%27 Jul →
inferno3–13-0.0012%27 Jul →
ancient13–7-0.0111%22 Jul →
mirage13–20.0619%22 Jul →
nuke8–13-0.0215%22 Jul →
mirage13–80.0120%22 Jul →
ancient13–4-0.028%21 Jul →
inferno9–13-0.0629%21 Jul →
anubis6–13-0.0320%21 Jul →
inferno13–60.0110%21 Jul →
mirage13–80.0319%16 Jul →
ancient13–110.015%16 Jul →
inferno10–13-0.0211%15 Jul →
dust29–130.0322%13 Jul →
nuke13–2-0.0315%3 Jul →
inferno11–6-0.0217%2 Jul →
ancient13–30.019%2 Jul →
ancient13–5-0.038%1 Jul →
ancient6–13-0.0611%30 Jun →
inferno6–13-0.023%30 Jun →
ancient7–13-0.0215%17 Jun →
overpass4–13-0.0116%17 Jun →
ancient0–9-0.0314%6 Jun →
mirage11–13-0.0726%6 Jun →
nuke5–130.0117%6 Jun →
ancient9–13-0.0712%6 Jun →
anubis6–13-0.077%6 Jun →
nuke6–4-0.0812%6 Jun →
nuke13–5-0.0115%6 Jun →
mirage7–13-0.0015%6 Jun →
overpass13–8-0.0428%3 Jun →
inferno13–40.0021%3 Jun →
mirage13–9-0.0610%3 Jun →
ancient13–10-0.0611%3 Jun →
overpass10–130.0518%3 Jun →

Match data via Leetify.

Recent teammates

Milestones

100 Matches11-Win Streak
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.