ben — CS2 Stats

NO76561198333673388[U:1:373407660]Steam profile ↗✓ No bans

921Tracked matches61%Win rate2020Tracked since

CSDB Rating7.5 StrongSupport

CSDB Leaderboard#57075 of 258310 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

Premier CS Rating: 21,911 +120 1 Mar – 2 Jul · 33 days played

24,213Peak Premier in tracked matches

39Days played since 2026-03-01

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

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Performance scores

Aim75

Positioning72

Utility77

0–100 skill scores via Leetify.

Recent form

HOT46–49–5Last 10046%Win rateWWWLWLWWWW

Last 10 vs previous 10: +30pp win rate · −0.00 avg rating · +3.9pp headshot accuracy · −39ms reaction

Win rate up 30pp 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating 0.03
Avg headshot accuracy 18%
Avg reaction 523ms

Last 10

8–2 · 80% win rate
Avg rating 0.03
Avg headshot accuracy 20%
Avg reaction 526ms

Last 20

13–5–2 · 65% win rate
Avg rating 0.04
Avg headshot accuracy 18%
Avg reaction 545ms

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 (+1.7 against its own average).

Aim7.5

Utility7.7

Positioning7.2

Opening Duels5.5

Clutch3.6

High utility contribution

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

Plays most like Twistzz 81% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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

Utility. Utility score of 77 — grenade impact well above the norm.

Areas to improve

Reaction time. 573ms 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

Positioning7.2

Utility7.7

Mechanics7.7

Opening Duels6.2

Win Impact8.6

Composite 7.5/10 (Strong), 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 rating0.04+0.01

first ⅓ avg 0.03 → last ⅓ avg 0.04

Reaction time587ms−13ms

first ⅓ avg 599ms → last ⅓ avg 587ms

Headshot accuracy18.3%−0.4%

first ⅓ avg 18.7% → last ⅓ avg 18.3%

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

0.16Best match rating · 13–8 · inferno, 29 Mar →

35%Best headshot accuracy · 5–13 · cache, 4 May →

422msFastest reaction time · 13–3 · inferno, 21 Oct →

13–1Biggest win · nuke, 19 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak

W3Current streak

11–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

infernoBest map · 71% over 17dust2Weakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	19	8–11	42%	0.04
inferno	S	17	12–5	71%	0.06
nuke	B	14	7–7	50%	0.02
ancient	B	11	5–6	45%	0.01
anubis	C	11	4–7	36%	0.01
dust2	D	10	3–7	30%	0.03
overpass	C	9	4–5	44%	0.02
cache	C	7	3–4	43%	0.03
train	—	1	0–1	0%	0.00
vertigo	—	1	0–1	0%	0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

514Matches

53%Win rate

1.16Avg K/D

78.8ADR

38%Headshot %

Clutches & streaks

38%1v1 clutch win

21%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	54	61%	1.10	15.3
Inferno	30	60%	1.09	16.2
Dust2	18	50%	0.95	14.1
Ancient	17	53%	1.05	15.7
Anubis	14	64%	1.19	16.1
Nuke	9	56%	0.93	13.7
Vertigo	6	67%	1.94	22.5
Train	4	25%	1.07	16.5

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.

18.3%Headshot accuracy

35.8%Accuracy (enemy spotted)

37.6%Spray accuracy

84.7%Counter-strafing

10.2°Preaim

573msReaction time

53.9%T opening success

55.7%CT opening success

0.69Enemies flashed / flash

11.3%Flash assists

13.40HE damage / grenade

15.86Flashes / match

Recommended for you

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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–10	0.00	11%	23 Oct →
mirage	16–14	-0.01	16%	23 Oct →
dust2	13–9	0.04	12%	23 Oct →
dust2	2–13	-0.00	21%	23 Oct →
inferno	13–3	0.10	30%	21 Oct →
mirage	11–13	0.06	20%	21 Oct →
cache	13–11	0.05	17%	21 Oct →
ancient	13–8	0.01	25%	19 Oct →
nuke	13–1	0.04	18%	19 Oct →
ancient	13–5	0.06	27%	19 Oct →
cache	7–13	0.04	22%	9 Oct →
train	12–12	0.00	12%	7 Jul →
cache	12–12	-0.01	13%	7 Jul →
dust2	13–7	0.07	16%	7 Jul →
mirage	13–5	0.09	17%	7 Jul →
cache	13–3	0.09	23%	7 Jul →
mirage	9–13	0.09	12%	2 Jul →
ancient	13–11	-0.03	14%	2 Jul →
nuke	8–13	0.01	15%	30 Jun →
anubis	16–13	-0.01	13%	30 Jun →
nuke	10–13	0.03	21%	29 Jun →
mirage	6–13	-0.01	19%	29 Jun →
anubis	13–10	0.12	21%	29 Jun →
anubis	13–16	0.01	14%	1 Jun →
dust2	13–8	0.01	23%	1 Jun →
mirage	5–13	-0.01	11%	1 Jun →
inferno	5–13	0.02	26%	1 Jun →
dust2	10–13	0.02	23%	30 May →
mirage	13–6	0.08	18%	30 May →
inferno	13–2	0.16	33%	30 May →
nuke	16–12	0.06	11%	30 May →
vertigo	5–9	0.08	15%	23 May →
cache	13–9	0.06	14%	12 May →
nuke	16–14	0.05	11%	12 May →
mirage	13–6	0.06	15%	12 May →
mirage	14–16	0.06	23%	4 May →
cache	5–13	-0.05	35%	4 May →
cache	12–12	0.01	13%	4 May →
mirage	11–13	0.01	13%	28 Apr →
nuke	13–4	0.07	15%	28 Apr →
dust2	7–13	0.06	18%	27 Apr →
anubis	10–13	-0.01	23%	27 Apr →
mirage	10–13	0.00	14%	27 Apr →
dust2	8–13	-0.03	18%	26 Apr →
inferno	13–11	0.04	19%	26 Apr →
inferno	13–11	0.06	15%	25 Apr →
anubis	3–13	-0.09	11%	25 Apr →
ancient	16–14	0.06	12%	25 Apr →
mirage	9–13	0.07	12%	25 Apr →
inferno	9–13	0.02	25%	24 Apr →
anubis	13–10	0.04	7%	24 Apr →
mirage	9–13	0.08	13%	23 Apr →
anubis	1–13	-0.05	32%	23 Apr →
overpass	10–13	-0.06	11%	21 Apr →
ancient	8–13	-0.06	23%	20 Apr →
mirage	13–8	0.07	11%	20 Apr →
nuke	2–13	0.00	17%	20 Apr →
ancient	10–13	0.08	18%	13 Apr →
inferno	13–6	0.13	12%	13 Apr →
overpass	13–5	-0.00	25%	12 Apr →
inferno	13–6	0.05	23%	12 Apr →
mirage	13–11	-0.03	11%	12 Apr →
overpass	15–15	0.01	12%	10 Apr →
anubis	9–13	0.01	13%	9 Apr →
overpass	13–6	0.09	25%	9 Apr →
mirage	4–13	0.07	13%	9 Apr →
ancient	2–13	-0.04	10%	9 Apr →
anubis	8–13	0.03	26%	7 Apr →
dust2	9–13	0.06	32%	7 Apr →
ancient	3–13	-0.02	15%	7 Apr →
inferno	13–11	0.11	21%	30 Mar →
overpass	11–13	-0.02	11%	30 Mar →
nuke	6–13	-0.03	19%	30 Mar →
nuke	3–13	0.00	34%	29 Mar →
ancient	6–13	0.04	18%	29 Mar →
inferno	13–8	0.16	23%	29 Mar →
overpass	13–9	0.04	16%	24 Mar →
nuke	11–13	-0.02	18%	23 Mar →
mirage	7–13	-0.01	16%	19 Mar →
inferno	13–10	0.05	22%	19 Mar →
nuke	13–9	0.02	17%	19 Mar →
inferno	13–7	-0.01	12%	17 Mar →
inferno	13–10	-0.00	20%	12 Mar →
mirage	13–11	0.03	13%	12 Mar →
inferno	11–13	0.04	24%	9 Mar →
ancient	3–13	-0.01	15%	9 Mar →
nuke	8–13	-0.01	23%	9 Mar →
overpass	13–7	-0.03	15%	8 Mar →
dust2	9–13	0.12	16%	8 Mar →
inferno	7–13	0.01	10%	8 Mar →
anubis	13–8	0.04	8%	8 Mar →
overpass	15–15	0.13	20%	5 Mar →
dust2	8–13	-0.02	31%	5 Mar →
anubis	3–13	0.03	14%	5 Mar →
mirage	13–10	0.00	24%	3 Mar →
ancient	13–10	0.06	22%	3 Mar →
nuke	13–5	0.04	11%	2 Mar →
overpass	8–13	0.01	22%	2 Mar →
inferno	13–11	0.07	16%	2 Mar →
inferno	11–13	0.00	13%	1 Mar →