ben1o — CS2 Stats

PL76561197967697807[U:1:7432079]Steam profile ↗✓ No bans

2,230Tracked matches60%Win rate2020Tracked since

5,486Hours in CS1Hrs last 2 wks

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating21,679Top 50% of 29,473 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)

CSDB Leaderboard#12129 of 40525 tracked

FaceitLevel 10 · 2,506 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=4,917), 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.

Metric	This player	Level 10 median
Headshot rate	48.3%	51.9%
Shot accuracy	14.3%	13.7%
Kill/death ratio	1.11	1.08
Match win rate	71.2%	48.7%

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Performance scores

Aim79

Positioning62

Utility45

0–100 skill scores via Leetify.

Recent form

STEADY51–48–1Last 10051%Win rateWWWLWLWLLL

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.9

Aggression8.2

Utility4.5

Positioning6.2

Opening Duels3.4

Clutch3.8

Limited 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.

Your pro match

Plays most like b1t 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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.

Reaction time. 599ms 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

Aim7.9

Positioning6.2

Utility4.5

Mechanics7.4

Opening Duels3.4

Win Impact8.3

Composite 6.7/10 (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 rating0.03+0.02

first ⅓ avg 0.01 → last ⅓ avg 0.03

Reaction time596ms+59ms

first ⅓ avg 537ms → last ⅓ avg 596ms

Headshot accuracy24.6%+2.1%

first ⅓ avg 22.5% → last ⅓ avg 24.6%

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.

Highlights

0.15Best rating — ancient 13–4

13–3Biggest win — mirage

5Longest win streak

W3Current streak

11–6In matches decided by ≤2 rounds

10Overtime games

Map breakdown

infernoBest map · 64% over 11overpassWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	27	17–10	63%	0.03
dust2	B	17	9–8	53%	0.01
ancient	C	14	6–8	43%	0.01
overpass	C	11	4–7	36%	0.01
inferno	A	11	7–4	64%	0.03
nuke	C	8	3–5	38%	0.02
anubis	C	7	3–4	43%	0.01
cache	—	2	1–1	50%	-0.02
train	—	2	1–1	50%	0.04
vertigo	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

163,567Lifetime kills

1.11K/D · Top 50% of Level 10 players

11,948Matches

71.2%Match win rate · Top 5% of Level 10 players

48.3%Headshot %

14.3%Shot accuracy · Top 50% of Level 10 players

22,159MVPs

3,596Hours (in match)

7,675Bombs planted

2,173Bombs defused

Most-used weapons

AK-4755,502

M4A4 / M4A1-S28,889

AWP15,411

Desert Eagle9,636

P2000 / USP-S8,338

Glock-185,225

Knife5,083

Galil AR3,526

P2503,119

MP93,068

Lifetime map wins

21,563inferno

9,377dust2

5,739train

5,497nuke

3,349vertigo

2,380cbble

137office

120italy

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

Faceit stats

Combat

4,178Matches

50%Win rate

1.18Avg K/D

86.1ADR

49%Headshot %

Clutches & streaks

39%1v1 clutch win

21%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	277	47%	1.18	17.8
Ancient	182	55%	1.20	18.4
Anubis	154	47%	1.20	18.2
Nuke	133	51%	1.23	18.5
Inferno	132	60%	1.33	18.6
Dust2	128	54%	1.18	17.1
Overpass	53	49%	1.15	16.6
Vertigo	45	29%	1.38	17.8

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.

24.6%Headshot accuracy

33.7%Accuracy (enemy spotted)

35.4%Spray accuracy

83.2%Counter-strafing

8.7°Preaim

599msReaction time

40.8%T opening success

46.2%CT opening success

0.67Enemies flashed / flash

1.9%Flash assists

4.18HE damage / grenade

4.36Flashes / match

Recommended for you

Spend your practice time on Overpass

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–11	0.01	22%	17 Jul →
anubis	13–10	0.04	31%	25 Jun →
mirage	13–9	0.05	14%	16 May →
dust2	5–13	-0.01	33%	16 May →
cache	13–11	-0.01	19%	29 Apr →
cache	6–13	-0.04	18%	29 Apr →
ancient	13–7	0.00	16%	29 Apr →
ancient	12–16	0.06	27%	4 Apr →
ancient	9–13	-0.01	22%	30 Mar →
nuke	16–19	0.13	28%	29 Mar →
mirage	13–6	-0.02	22%	22 Feb →
mirage	13–4	0.02	36%	15 Feb →
dust2	2–13	0.01	19%	14 Feb →
overpass	9–13	0.01	24%	13 Feb →
nuke	13–7	0.04	24%	13 Feb →
nuke	11–13	0.00	22%	13 Feb →
nuke	13–7	0.01	33%	12 Feb →
mirage	13–11	0.01	26%	8 Feb →
dust2	13–7	0.02	27%	8 Feb →
mirage	13–7	0.02	31%	1 Feb →
anubis	12–16	-0.01	29%	1 Feb →
dust2	13–6	0.11	18%	1 Feb →
overpass	13–6	0.07	22%	1 Feb →
dust2	13–7	0.03	27%	25 Jan →
mirage	13–3	0.03	32%	25 Jan →
mirage	13–8	0.09	24%	25 Jan →
dust2	6–13	-0.01	15%	19 Jan →
ancient	8–13	0.04	22%	17 Jan →
ancient	13–4	0.15	24%	11 Jan →
dust2	11–13	-0.03	29%	4 Jan →
mirage	11–13	0.06	25%	2 Jan →
mirage	13–7	-0.00	33%	1 Jan →
dust2	13–10	0.10	20%	1 Jan →
ancient	13–16	0.02	20%	30 Dec →
mirage	13–7	0.02	30%	30 Dec →
overpass	8–13	0.02	17%	23 Dec →
mirage	9–13	0.06	19%	21 Dec →
mirage	13–8	0.02	17%	20 Dec →
overpass	14–16	-0.06	26%	13 Dec →
nuke	10–13	-0.01	18%	10 Dec →
dust2	13–8	0.01	26%	23 Nov →
nuke	13–10	-0.04	19%	23 Nov →
overpass	6–13	0.00	20%	22 Nov →
train	9–13	0.08	20%	21 Nov →
overpass	13–11	0.09	29%	21 Nov →
dust2	9–13	-0.01	42%	14 Nov →
overpass	13–11	0.02	25%	15 Oct →
overpass	7–13	-0.03	13%	14 Oct →
mirage	11–13	0.05	20%	12 Oct →
ancient	13–16	-0.02	17%	12 Oct →
inferno	6–13	-0.01	28%	12 Oct →
dust2	13–11	0.09	35%	11 Oct →
overpass	13–6	0.05	26%	11 Oct →
dust2	8–13	0.01	24%	17 Sept →
inferno	13–4	-0.02	31%	26 Aug →
mirage	6–13	-0.05	22%	23 Aug →
mirage	9–13	0.02	21%	23 Aug →
mirage	13–9	0.02	39%	22 Aug →
inferno	2–0	0.08	14%	22 Aug →
inferno	10–13	0.03	29%	10 Aug →
mirage	4–13	-0.07	14%	27 Jul →
nuke	6–13	0.01	25%	27 Jul →
overpass	9–13	0.01	26%	26 Jul →
dust2	13–7	0.02	40%	25 Jul →
mirage	13–10	0.06	22%	25 Jul →
ancient	13–11	0.02	25%	18 Jul →
overpass	13–16	-0.07	9%	17 Jul →
anubis	13–11	0.09	32%	13 Jul →
anubis	7–13	-0.07	20%	12 Jul →
ancient	7–13	-0.01	25%	7 Jul →
mirage	13–3	0.09	32%	29 Jun →
ancient	13–7	0.02	19%	26 Jun →
mirage	11–13	0.00	29%	24 Jun →
mirage	8–13	-0.05	13%	15 Jun →
mirage	12–16	0.05	33%	12 Jun →
dust2	13–7	0.01	24%	11 Jun →
ancient	13–6	0.02	37%	11 Jun →
mirage	13–6	0.02	26%	9 Jun →
inferno	13–11	0.05	37%	9 Jun →
inferno	12–12	0.10	20%	1 Jun →
ancient	5–13	-0.06	16%	9 May →
anubis	5–13	-0.03	37%	9 May →
train	13–4	0.00	15%	31 Mar →
mirage	13–5	0.10	15%	23 Mar →
inferno	13–9	0.08	16%	23 Mar →
anubis	13–8	0.03	17%	20 Mar →
dust2	1–13	-0.03	0%	14 Mar →
nuke	7–13	0.04	22%	14 Mar →
inferno	13–8	0.03	17%	3 Mar →
ancient	19–16	-0.05	18%	19 Feb →
dust2	4–13	-0.07	15%	2 Feb →
mirage	16–13	0.04	19%	25 Jan →
anubis	8–13	0.01	23%	22 Jan →
mirage	10–13	0.05	23%	19 Jan →
ancient	9–13	0.02	21%	12 Jan →
inferno	10–13	0.01	30%	9 Jan →
inferno	13–8	0.03	17%	8 Jan →
vertigo	2–13	-0.03	35%	7 Jan →
mirage	13–11	-0.00	26%	4 Jan →
inferno	13–8	-0.04	13%	3 Jan →