m4ga — CS2 Stats

RU76561198395115741[U:1:434850013]Steam profile ↗✓ No bans

2,790Tracked matches64%Win rate2020Tracked since

14,420Hours in CS4Hrs last 2 wks

CSDB Rating9.0 EliteEntry Fragger

Premier CS Rating27,622Top 10% of 819 CSDB-tracked playersRed band · top ~1.7% of ranked players (population est.)

CSDB Leaderboard#377 of 9824 tracked

FaceitLevel 10 · 3,138 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

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	63.9%	52.8%
Shot accuracy	15.8%	13.7%
Kill/death ratio	1.19	1.08
Match win rate	56.8%	49.2%

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Performance scores

Aim96

Positioning75

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY54–41–5Last 10054%Win rateLWLLWLWWTL

Last 10 vs previous 10: -20pp win rate · -0.04 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim9.6

Aggression10.0

Utility6.8

Positioning7.5

Opening Duels7.6

Clutch3.0

Sharp aimerExcellent counter-strafing

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 s1mple 97% playstyle similarity

Most alike: opening-fight frequency, positioning 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

Aim. Aim score of 96 — the mechanical foundation is a clear strength.

Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.

CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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

Aim9.6

Positioning7.5

Utility6.8

Mechanics9.4

Opening Duels7.6

Win Impact9.8

Composite 9.0/10 (Elite), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.07−0.02

first ⅓ avg 0.09 → last ⅓ avg 0.07

Reaction time503ms−46ms

first ⅓ avg 550ms → last ⅓ avg 503ms

Headshot accuracy30.2%−1.6%

first ⅓ avg 31.8% → last ⅓ avg 30.2%

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

0.48Best rating — dust2 13–8

13–0Biggest win — dust2

5Longest win streak

11–5In matches decided by ≤2 rounds

10Overtime games

Map breakdown

mirageBest map · 58% over 31anubisWeakest map · 43% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	35	19–16	54%	0.09
mirage	A	31	18–13	58%	0.05
inferno	C	9	4–5	44%	0.11
anubis	C	7	3–4	43%	0.04
ancient	A	7	4–3	57%	0.03
cache	B	6	3–3	50%	0.08
nuke	—	4	2–2	50%	0.03
overpass	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

574,638Lifetime kills

1.19K/D · Top 25% of Level 10 players

19,141Matches

56.8%Match win rate · Top 10% of Level 10 players

63.9%Headshot % · Top 25% of Level 10 players

15.8%Shot accuracy · Top 50% of Level 10 players

102,101MVPs

10,951Hours (in match)

25,211Bombs planted

5,919Bombs defused

Most-used weapons

AK-47226,037

M4A4 / M4A1-S73,725

Desert Eagle61,165

AWP60,554

P2000 / USP-S58,555

Glock-1820,847

Knife11,802

FAMAS5,903

Galil AR5,827

MP95,804

Lifetime map wins

40,639dust2

24,040inferno

12,352train

5,807vertigo

5,251nuke

1,409cbble

469lake

306office

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

Faceit stats

Combat

6,931Matches

52%Win rate

1.21Avg K/D

84.5ADR

56%Headshot %

Clutches & streaks

35%1v1 clutch win

27%1v2 clutch win

15Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	602	53%	1.21	17.1
Dust2	415	56%	1.30	17.8
Ancient	231	49%	1.18	17.0
Anubis	156	49%	1.21	17.8
Nuke	113	54%	1.10	16.6
Inferno	82	70%	1.42	18.2
Overpass	51	55%	1.17	17.1
Vertigo	46	52%	1.23	17.4

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.

30.0%Headshot accuracy

38.4%Accuracy (enemy spotted)

36.8%Spray accuracy

92.5%Counter-strafing

7.8°Preaim

501msReaction time

53.8%T opening success

67.1%CT opening success

0.63Enemies flashed / flash

9.5%Flash assists

11.13HE damage / grenade

11.64Flashes / match

Recommended for you

Spend your practice time on Anubis

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	11–13	-0.03	33%	27 Aug →
mirage	13–3	0.03	31%	18 Aug →
dust2	9–13	0.01	35%	18 Aug →
cache	2–13	-0.02	56%	30 Jul →
mirage	13–8	0.17	35%	30 Jul →
dust2	7–13	-0.01	28%	30 Jul →
dust2	16–14	-0.03	23%	28 Jul →
dust2	13–10	0.13	31%	27 Jul →
inferno	8–8	0.12	28%	27 Jul →
mirage	6–13	0.04	29%	27 Jul →
cache	2–10	0.10	17%	26 Jul →
inferno	13–1	0.19	45%	25 Jul →
mirage	15–15	0.08	33%	25 Jul →
cache	13–6	0.14	29%	25 Jul →
mirage	13–8	0.09	25%	25 Jul →
cache	13–1	0.11	20%	22 Jul →
cache	12–12	0.07	32%	20 Jul →
dust2	9–13	-0.04	21%	19 Jul →
dust2	16–13	0.05	25%	18 Jul →
mirage	13–3	0.07	40%	18 Jul →
cache	16–12	0.06	20%	17 Jul →
mirage	13–16	0.06	28%	17 Jul →
dust2	13–3	0.10	31%	17 Jul →
dust2	13–8	0.11	33%	17 Jul →
dust2	13–0	0.15	31%	17 Jul →
mirage	13–10	0.07	27%	15 Jul →
dust2	5–13	0.09	19%	14 Jul →
dust2	13–11	0.12	22%	13 Jul →
anubis	8–13	-0.02	33%	13 Jul →
mirage	13–11	0.07	40%	9 Jul →
dust2	13–11	0.10	34%	9 Jul →
mirage	13–1	0.09	24%	6 Jul →
anubis	13–3	0.13	34%	6 Jul →
dust2	13–1	0.15	25%	5 Jul →
ancient	8–13	-0.06	26%	4 Jul →
anubis	15–19	-0.01	28%	4 Jul →
nuke	13–8	0.02	30%	4 Jul →
mirage	10–13	-0.04	19%	4 Jul →
mirage	5–13	-0.01	28%	4 Jul →
nuke	16–13	0.01	34%	4 Jul →
ancient	13–7	-0.01	25%	4 Jul →
ancient	7–9	0.04	27%	3 Jul →
dust2	2–13	-0.09	0%	3 Jul →
overpass	13–8	-0.02	23%	3 Jul →
dust2	10–13	0.09	30%	1 Jul →
inferno	13–11	0.06	40%	1 Jul →
inferno	13–2	0.13	34%	27 Jun →
mirage	13–5	0.01	32%	27 Jun →
anubis	13–9	0.09	24%	27 Jun →
ancient	13–10	-0.00	31%	27 Jun →
inferno	10–13	0.12	36%	26 Jun →
dust2	12–12	0.14	35%	26 Jun →
dust2	4–13	0.08	36%	26 Jun →
mirage	13–6	0.04	28%	23 Jun →
dust2	13–2	0.15	44%	23 Jun →
mirage	13–10	0.03	21%	21 Jun →
dust2	15–15	0.05	30%	21 Jun →
mirage	7–13	-0.02	13%	17 Jun →
dust2	16–14	0.07	20%	17 Jun →
mirage	13–9	0.03	44%	17 Jun →
mirage	13–3	0.13	27%	17 Jun →
dust2	13–7	0.04	36%	17 Jun →
inferno	10–13	0.13	26%	16 Jun →
mirage	9–13	0.00	34%	15 Jun →
ancient	13–6	0.10	30%	15 Jun →
nuke	8–13	0.09	20%	15 Jun →
anubis	2–13	-0.03	28%	15 Jun →
mirage	13–11	0.06	31%	14 Jun →
anubis	13–4	0.10	29%	14 Jun →
dust2	13–6	0.08	41%	14 Jun →
mirage	13–11	0.01	44%	14 Jun →
mirage	16–14	0.05	39%	13 Jun →
nuke	9–13	0.02	30%	13 Jun →
dust2	13–8	0.11	50%	13 Jun →
inferno	13–1	0.22	39%	13 Jun →
mirage	13–4	0.07	15%	12 Jun →
dust2	13–11	0.12	17%	12 Jun →
dust2	13–4	0.09	19%	12 Jun →
mirage	4–13	-0.00	30%	12 Jun →
dust2	1–9	0.40	45%	12 Jun →
mirage	13–3	0.19	35%	12 Jun →
mirage	7–13	0.11	19%	12 Jun →
dust2	6–13	0.04	40%	11 Jun →
dust2	13–7	-0.00	39%	9 Jun →
inferno	4–13	-0.02	28%	9 Jun →
dust2	5–13	0.07	27%	9 Jun →
mirage	8–13	0.06	34%	9 Jun →
dust2	8–13	0.03	33%	8 Jun →
dust2	11–13	0.11	31%	8 Jun →
mirage	13–5	0.08	44%	8 Jun →
ancient	11–13	0.06	22%	5 Jun →
dust2	5–13	0.05	26%	4 Jun →
mirage	0–13	-0.06	33%	4 Jun →
inferno	10–13	0.04	25%	3 Jun →
ancient	13–1	0.09	35%	2 Jun →
dust2	13–8	0.48	46%	1 Jun →
mirage	9–13	0.03	19%	1 Jun →
dust2	11–13	0.11	21%	1 Jun →
anubis	2–13	0.00	30%	31 May →
dust2	13–11	0.14	33%	30 May →