Duplicate — CS2 Stats

BG76561198152075689[U:1:191809961]Steam profile ↗✓ No bans

3,211Tracked matches37%Win rate2020Tracked since

27,612Hours in CS

CSDB Rating6.2 SolidAggressive Rifler

CSDB Leaderboard#48546 of 59008 tracked

FaceitLevel 10 · 2,907 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

2,907Peak Faceit ELO on CSDB

1Days observed since 2026-08-30

Faceit ELO

At peak — 2,907
Next: 3,000 ELO at 3,000 — 93 to go
Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
2,500 ELO first seen 2026-08-30
Level 10 first seen 2026-08-30

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=7,415), 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	68.8%	51.7%
Shot accuracy	19.2%	13.8%
Kill/death ratio	0.88	1.09
Match win rate	60.6%	48.7%

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Performance scores

Aim73

Positioning59

Utility77

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateWLLLLWLWWW

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

Player DNA

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

Aim7.3

Aggression6.6

Utility7.7

Positioning5.9

Opening Duels2.8

Clutch3.2

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.

Your pro match

Plays most like Twistzz 93% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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. 591ms 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

Aim7.3

Positioning5.9

Utility7.7

Mechanics7.8

Opening Duels2.8

Win Impact0.6

Composite 6.2/10 (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 rating0.00−0.10

first ⅓ avg 0.10 → last ⅓ avg 0.00

Reaction time583ms−18ms

first ⅓ avg 601ms → last ⅓ avg 583ms

Headshot accuracy19.4%−7.0%

first ⅓ avg 26.4% → last ⅓ avg 19.4%

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

0.23Best rating — mirage 7–0

13–0Biggest win — mirage

9Longest win streak

5–9In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 69% over 13overpassWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	22	13–9	59%	0.02
mirage	C	18	8–10	44%	0.02
inferno	C	16	6–10	38%	0.02
ancient	C	16	7–9	44%	0.02
anubis	S	13	9–4	69%	0.05
overpass	D	7	2–5	29%	0.03
nuke	—	4	1–3	25%	0.06
train	—	3	1–2	33%	0.11
vertigo	—	1	1–0	100%	0.23

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

418,087Lifetime kills

0.88K/D

7,155Matches

60.6%Match win rate · Top 5% of Level 10 players

68.8%Headshot % · Top 5% of Level 10 players

19.2%Shot accuracy · Top 10% of Level 10 players

25,314MVPs

27,612Hours (in match)

17,379Bombs planted

3,288Bombs defused

Most-used weapons

AK-47194,063

P2000 / USP-S64,010

M4A4 / M4A1-S49,975

Desert Eagle46,453

SG 55319,990

AWP12,559

P25010,591

Glock-188,215

Knife7,197

AUG6,479

Lifetime map wins

24,923dust2

24,639inferno

14,260train

8,075cbble

6,191nuke

4,123vertigo

204dust

82assault

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

Faceit stats

Combat

6,139Matches

62%Win rate

1.32Avg K/D

87.1ADR

52%Headshot %

Clutches & streaks

36%1v1 clutch win

27%1v2 clutch win

26Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	296	54%	1.19	15.7
Anubis	286	65%	1.27	15.9
Ancient	282	55%	1.21	16.1
Inferno	143	73%	1.23	16.0
Dust2	124	62%	1.44	18.3
Nuke	51	53%	1.06	14.8
Overpass	49	61%	1.20	15.6
Vertigo	28	50%	0.92	13.3

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.

19.1%Headshot accuracy

33.7%Accuracy (enemy spotted)

39.7%Spray accuracy

85.0%Counter-strafing

10.4°Preaim

591msReaction time

40.9%T opening success

41.4%CT opening success

0.66Enemies flashed / flash

9.0%Flash assists

17.86HE damage / grenade

14.52Flashes / 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.

29% win rate across 7 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
mirage	13–10	0.05	18%	11 Apr →
inferno	10–13	-0.07	15%	11 Apr →
overpass	2–13	0.02	40%	11 Apr →
inferno	10–13	-0.07	15%	11 Apr →
overpass	2–13	0.02	40%	11 Apr →
mirage	13–10	0.05	18%	11 Apr →
ancient	8–13	0.00	11%	11 Apr →
anubis	13–7	0.05	18%	11 Apr →
dust2	13–5	0.05	16%	11 Apr →
anubis	13–7	0.05	18%	11 Apr →
dust2	13–5	0.05	16%	11 Apr →
ancient	8–13	0.00	11%	11 Apr →
overpass	10–13	0.01	14%	11 Apr →
mirage	9–13	-0.00	18%	11 Apr →
mirage	9–13	-0.00	18%	11 Apr →
overpass	10–13	0.01	14%	11 Apr →
anubis	13–8	-0.01	38%	10 Apr →
inferno	13–5	0.01	17%	10 Apr →
anubis	5–13	-0.04	22%	10 Apr →
mirage	13–0	0.02	14%	10 Apr →
anubis	4–13	0.01	17%	24 Feb →
dust2	6–13	-0.04	13%	24 Feb →
inferno	11–13	-0.02	19%	24 Feb →
mirage	7–13	-0.02	25%	17 Dec →
dust2	11–13	-0.04	22%	17 Dec →
inferno	11–13	-0.03	19%	17 Dec →
ancient	13–7	0.03	14%	14 Dec →
mirage	11–13	0.02	16%	30 Nov →
overpass	13–8	-0.03	21%	20 Nov →
inferno	13–16	-0.06	26%	20 Nov →
dust2	9–13	-0.05	24%	20 Nov →
inferno	10–13	0.00	24%	20 Nov →
overpass	13–2	0.09	13%	11 Oct →
dust2	7–13	-0.08	5%	25 Sept →
dust2	2–13	-0.07	11%	23 Sept →
dust2	13–11	-0.09	17%	23 Sept →
dust2	2–13	-0.11	5%	23 Sept →
ancient	5–0	-0.05	0%	23 Sept →
ancient	11–13	-0.05	19%	21 Sept →
dust2	10–13	-0.09	14%	21 Sept →
mirage	0–5	-0.04	33%	21 Sept →
ancient	8–13	-0.02	20%	21 Sept →
ancient	13–10	-0.06	11%	19 Sept →
mirage	0–13	-0.03	14%	19 Sept →
ancient	3–13	-0.10	20%	19 Sept →
inferno	13–16	-0.06	18%	19 Sept →
mirage	13–10	-0.04	9%	19 Sept →
dust2	13–11	-0.10	19%	17 Sept →
ancient	13–4	-0.01	3%	7 Sept →
dust2	13–6	-0.01	29%	6 Sept →
ancient	13–1	0.14	32%	6 Sept →
inferno	11–13	-0.04	14%	31 Aug →
dust2	16–14	0.01	34%	31 Aug →
dust2	13–7	0.07	25%	12 Aug →
overpass	10–13	0.11	21%	12 Aug →
mirage	7–13	-0.05	18%	11 Aug →
anubis	6–13	-0.03	24%	12 Jul →
ancient	2–13	-0.02	19%	12 Jul →
anubis	10–13	0.04	20%	11 Jul →
inferno	13–10	0.01	10%	11 Jul →
mirage	13–9	-0.03	13%	11 Jul →
mirage	16–19	0.02	13%	10 Jul →
inferno	5–13	-0.02	30%	10 Jul →
anubis	16–13	0.04	21%	9 Jul →
mirage	13–6	0.01	24%	9 Jul →
ancient	1–13	-0.07	42%	4 Jul →
inferno	13–16	0.12	23%	30 Jun →
dust2	13–4	0.14	27%	30 Jun →
anubis	13–3	0.07	26%	30 Jun →
mirage	12–12	0.05	22%	30 Jun →
ancient	5–13	0.05	16%	24 Jun →
inferno	13–11	0.13	16%	17 Jun →
train	13–4	0.16	25%	11 Jun →
inferno	13–4	0.08	22%	11 Jun →
ancient	13–7	0.20	14%	2 Jun →
dust2	13–9	0.08	22%	2 Jun →
inferno	13–10	0.17	14%	29 May →
anubis	13–10	0.12	16%	29 May →
inferno	13–4	0.10	19%	28 May →
anubis	13–8	0.10	16%	28 May →
nuke	0–4	-0.01	100%	25 May →
train	10–13	0.07	21%	25 May →
anubis	13–6	0.10	20%	10 May →
mirage	13–10	0.02	27%	27 Apr →
dust2	11–13	0.05	18%	28 Feb →
nuke	13–9	0.16	30%	27 Feb →
mirage	7–0	0.23	58%	27 Feb →
dust2	13–5	0.14	32%	27 Feb →
train	11–13	0.09	23%	13 Feb →
nuke	9–13	0.03	30%	30 Jan →
ancient	11–13	0.07	18%	23 Jan →
anubis	13–9	0.09	23%	13 Jan →
dust2	13–7	0.10	30%	13 Jan →
mirage	15–15	0.05	17%	12 Jan →
dust2	13–2	0.16	39%	1 Jan →
ancient	13–5	0.15	21%	1 Jan →
dust2	13–4	0.16	33%	21 Dec →
nuke	12–12	0.06	24%	17 Dec →
dust2	7–13	0.00	24%	17 Dec →
vertigo	13–11	0.23	31%	8 Dec →