Focus — CS2 Stats

SE76561198213533704[U:1:253267976]Steam profile ↗

3,197Tracked matches50%Win rate2020Tracked since

9,697Hours in CS12Hrs last 2 wks

CSDB Rating6.3 SolidAggressive Rifler

FaceitLevel 10Top 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=218), 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	50.0%	52.8%
Shot accuracy	14.9%	13.7%
Kill/death ratio	1.03	1.08
Match win rate	50.0%	49.2%

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Performance scores

Aim79

Positioning60

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY59–41Last 10059%Win rateLLWWWLLWWL

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

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

Aim7.9

Aggression8.5

Utility6.3

Positioning6.0

Opening Duels4.6

Clutch4.8

Strong CT-side openerEffective flashes

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 iM 93% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: higher opening-fight frequency.

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. 0.82 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 57% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

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

Positioning6.0

Utility6.3

Mechanics5.6

Opening Duels4.6

Win Impact5.0

Composite 6.3/10 (Solid), 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 rating0.01−0.05

first ⅓ avg 0.06 → last ⅓ avg 0.01

Reaction time556ms−1ms

first ⅓ avg 557ms → last ⅓ avg 556ms

Headshot accuracy24.3%−2.3%

first ⅓ avg 26.7% → last ⅓ avg 24.3%

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.

Highlights

0.32Best rating — awp_lego_2 13–4

13–1Biggest win — vertigo

8Longest win streak

L2Current streak

13–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

anubisBest map · 67% over 9dust2Weakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	40	23–17	57%	0.02
vertigo	A	27	17–10	63%	0.03
anubis	S	9	6–3	67%	0.01
ancient	B	8	4–4	50%	0.03
dust2	D	5	0–5	0%	-0.00
nuke	—	3	2–1	67%	0.04
train	—	2	2–0	100%	0.08
cbble_d	—	2	2–0	100%	0.09
cache	—	1	0–1	0%	-0.02
inferno	—	1	1–0	100%	0.08
awp_lego_2	—	1	1–0	100%	0.32
aim_map	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

230,330Lifetime kills

1.03K/D

8,694Matches

50.0%Match win rate · Top 50% of Level 10 players

50.0%Headshot %

14.9%Shot accuracy · Top 50% of Level 10 players

34,270MVPs

4,581Hours (in match)

4,599Bombs planted

3,108Bombs defused

Most-used weapons

AK-4777,098

M4A4 / M4A1-S36,995

AWP34,343

Desert Eagle17,457

P2000 / USP-S14,343

Glock-189,949

Knife7,159

Galil AR4,559

MP93,291

SSG 082,888

Lifetime map wins

13,737vertigo

9,415inferno

5,472dust2

4,628nuke

3,552train

662cbble

252lake

167safehouse

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

Faceit stats

Combat

2,118Matches

54%Win rate

1.11Avg K/D

81.6ADR

46%Headshot %

Clutches & streaks

44%1v1 clutch win

20%1v2 clutch win

11Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	326	53%	1.13	16.8
Ancient	234	58%	1.15	16.9
Anubis	189	54%	1.18	16.5
Vertigo	82	50%	1.11	16.6
Nuke	46	52%	1.10	17.6
Dust2	36	61%	1.07	15.6
Overpass	36	39%	0.98	14.0
Inferno	14	50%	1.21	16.2

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.

24.1%Headshot accuracy

37.1%Accuracy (enemy spotted)

37.3%Spray accuracy

75.1%Counter-strafing

10.2°Preaim

549msReaction time

39.6%T opening success

56.9%CT opening success

0.82Enemies flashed / flash

8.0%Flash assists

12.13HE damage / grenade

11.78Flashes / 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.

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 39.635% — 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.

0% win rate across 5 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
mirage	3–13	-0.04	14%	27 Aug →
mirage	10–13	-0.06	38%	27 Aug →
mirage	10–2	0.09	27%	27 Aug →
anubis	13–11	0.06	25%	26 Aug →
mirage	13–10	0.02	22%	25 Aug →
anubis	9–13	0.03	20%	22 Aug →
mirage	4–13	-0.05	16%	22 Aug →
vertigo	13–1	0.04	23%	22 Aug →
nuke	13–5	0.03	26%	22 Aug →
ancient	8–13	0.04	28%	22 Aug →
vertigo	19–16	0.03	22%	19 Aug →
mirage	16–13	0.04	16%	19 Aug →
vertigo	17–19	0.03	33%	19 Aug →
mirage	13–10	0.05	24%	19 Aug →
train	16–13	0.09	19%	15 Aug →
mirage	13–11	0.05	27%	2 Aug →
vertigo	8–13	0.04	37%	2 Aug →
mirage	5–13	0.01	27%	1 Aug →
mirage	11–13	-0.01	18%	1 Aug →
vertigo	13–7	0.05	30%	25 Jul →
vertigo	13–11	-0.01	25%	24 Jul →
mirage	13–11	0.03	33%	22 Jul →
vertigo	10–13	-0.04	21%	19 Jul →
ancient	6–13	-0.01	20%	17 Jul →
dust2	2–11	-0.03	22%	14 Jul →
mirage	13–9	-0.01	29%	14 Jul →
mirage	4–13	-0.04	10%	12 Jul →
anubis	10–13	-0.10	13%	10 Jul →
vertigo	13–9	-0.05	22%	5 Jul →
cache	11–13	-0.02	26%	4 Jul →
mirage	2–13	-0.05	17%	4 Jul →
mirage	0–8	0.01	33%	3 Jul →
dust2	10–13	0.01	40%	2 Jul →
anubis	10–13	-0.03	17%	28 Jun →
ancient	13–10	0.06	30%	27 Jun →
mirage	10–13	-0.02	13%	26 Jun →
vertigo	13–10	-0.02	24%	26 Jun →
mirage	13–10	0.05	27%	25 Jun →
ancient	19–22	0.01	26%	25 Jun →
ancient	19–17	0.01	26%	24 Jun →
mirage	13–7	-0.01	19%	17 Jun →
vertigo	13–5	-0.02	27%	17 Jun →
mirage	8–13	0.00	14%	11 Jun →
vertigo	13–8	0.04	13%	10 Jun →
mirage	13–10	0.03	17%	8 Jun →
vertigo	13–8	0.01	27%	7 Jun →
vertigo	13–2	0.04	34%	7 Jun →
anubis	13–11	0.06	33%	7 Jun →
mirage	11–13	0.03	19%	7 Jun →
vertigo	9–13	-0.01	21%	7 Jun →
vertigo	13–8	0.06	31%	1 Jun →
vertigo	13–8	0.06	19%	1 Jun →
mirage	13–10	-0.01	33%	1 Jun →
vertigo	10–13	0.04	27%	1 Jun →
mirage	8–13	0.02	37%	31 May →
ancient	11–13	0.00	16%	31 May →
mirage	4–13	-0.06	14%	31 May →
vertigo	14–16	0.08	24%	31 May →
anubis	13–11	-0.01	34%	26 Jan →
mirage	13–11	0.07	32%	26 Jan →
dust2	9–13	-0.03	25%	26 Jan →
dust2	9–13	-0.02	0%	25 Jan →
mirage	13–2	0.18	48%	19 Jan →
mirage	13–7	0.04	43%	19 Jan →
vertigo	13–8	0.04	21%	19 Jan →
ancient	16–13	0.06	35%	18 Jan →
mirage	9–13	0.01	31%	17 Jan →
vertigo	13–10	0.05	25%	17 Jan →
dust2	9–13	0.06	22%	17 Jan →
mirage	13–8	0.14	29%	17 Jan →
vertigo	13–10	0.10	27%	16 Jan →
mirage	13–8	-0.02	35%	16 Jan →
mirage	9–13	-0.06	22%	11 Jan →
vertigo	13–11	0.06	31%	11 Jan →
mirage	13–7	0.04	19%	11 Jan →
train	13–4	0.07	19%	9 Jan →
inferno	13–4	0.08	23%	9 Jan →
mirage	13–8	0.04	23%	9 Jan →
mirage	13–11	0.06	29%	9 Jan →
mirage	13–6	0.09	17%	9 Jan →
nuke	9–13	0.02	25%	8 Jan →
mirage	13–8	0.11	30%	8 Jan →
awp_lego_2	13–4	0.32	67%	8 Jan →
aim_map	13–9	0.08	45%	8 Jan →
vertigo	11–13	0.03	15%	7 Jan →
cbble_d	8–2	0.08	37%	7 Jan →
mirage	10–13	0.03	22%	7 Jan →
vertigo	6–13	-0.02	20%	7 Jan →
anubis	13–11	0.07	25%	6 Jan →
mirage	13–11	-0.02	18%	5 Jan →
anubis	13–8	0.00	25%	5 Jan →
vertigo	13–9	0.13	33%	5 Jan →
nuke	16–14	0.06	22%	4 Jan →
anubis	13–4	0.01	26%	4 Jan →
cbble_d	13–8	0.11	10%	4 Jan →
mirage	13–7	0.14	28%	4 Jan →
mirage	8–13	0.01	20%	4 Jan →
vertigo	2–13	-0.00	38%	4 Jan →
ancient	13–4	0.06	30%	4 Jan →
vertigo	3–13	-0.05	27%	3 Jan →