馬切伊是個失敗者。 — CS2 Stats

76561198323299932[U:1:363034204]Steam profile ↗✓ No bans

1,355Tracked matches66%Win rate2020Tracked since

CSDB Rating7.3 StrongEntry Fragger

Premier CS Rating20,044Pink band · top ~8.5% of ranked players (population est.)

CSDB Leaderboard#10823 of 26375 tracked

FaceitLevel 10 · 2,100 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim93

Positioning63

Utility33

0–100 skill scores via Leetify.

Recent form

STEADY50–44–6Last 10050%Win rateLLWWWWTWWL

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

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

Aim9.3

Aggression10.0

Utility3.3

Positioning6.3

Opening Duels6.5

Clutch3.6

Sharp aimerStrong CT-side openerLimited 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 s1mple 88% playstyle similarity

Most alike: opening-fight frequency, aim profile.

Where you differ: lower positioning 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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

CT openings. 69% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 69% on CT to 43% 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

Aim9.3

Positioning6.3

Utility3.3

Mechanics6.5

Opening Duels6.5

Win Impact10.0

Composite 7.3/10 (Strong), 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 rating0.04+0.03

first ⅓ avg 0.01 → last ⅓ avg 0.04

Reaction time515ms−19ms

first ⅓ avg 534ms → last ⅓ avg 515ms

Headshot accuracy28.7%+6.2%

first ⅓ avg 22.5% → last ⅓ avg 28.7%

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

0.16Best rating — train 13–2

13–1Biggest win — train

5Longest win streak

L2Current streak

6–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

trainBest map · 90% over 10infernoWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
nuke	D	18	6–12	33%	0.03
mirage	B	18	9–9	50%	0.05
dust2	C	14	6–8	43%	0.00
cache	A	12	7–5	58%	0.04
train	S	10	9–1	90%	0.07
anubis	C	10	4–6	40%	-0.01
ancient	S	8	6–2	75%	0.00
inferno	D	6	1–5	17%	0.03
overpass	—	2	0–2	0%	0.02
vertigo	—	2	2–0	100%	0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

878Matches

52%Win rate

1.23Avg K/D

77.6ADR

47%Headshot %

Clutches & streaks

38%1v1 clutch win

23%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	217	55%	1.15	16.4
Dust2	140	51%	1.07	15.9
Anubis	80	39%	1.04	15.9
Inferno	74	53%	1.20	15.9
Ancient	65	49%	1.14	15.8
Nuke	64	56%	1.16	16.6
Train	30	53%	1.14	18.2
Overpass	13	54%	1.16	16.1

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.

28.0%Headshot accuracy

40.5%Accuracy (enemy spotted)

39.7%Spray accuracy

79.5%Counter-strafing

8.0°Preaim

507msReaction time

43.1%T opening success

69.3%CT opening success

0.27Enemies flashed / flash

1.5%Flash assists

8.91HE damage / grenade

3.35Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.2702 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Inferno

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
overpass	10–13	0.03	25%	28 Aug →
cache	11–13	0.04	29%	27 Aug →
vertigo	13–2	0.07	19%	27 Aug →
train	13–2	0.16	23%	26 Aug →
train	13–3	0.11	35%	25 Aug →
train	13–10	-0.01	23%	22 Aug →
nuke	12–12	0.08	24%	21 Aug →
train	13–4	0.06	44%	20 Aug →
train	13–6	0.01	35%	20 Aug →
cache	6–13	0.02	28%	20 Aug →
train	13–1	0.13	35%	19 Aug →
train	13–2	0.08	34%	19 Aug →
mirage	6–13	0.01	27%	16 Aug →
mirage	13–10	0.01	14%	16 Aug →
inferno	11–13	0.06	33%	16 Aug →
mirage	13–10	0.02	29%	15 Aug →
anubis	13–10	-0.00	21%	12 Aug →
cache	13–11	0.05	24%	12 Aug →
anubis	9–13	-0.03	25%	8 Aug →
anubis	10–13	-0.01	19%	7 Aug →
anubis	7–13	-0.05	28%	6 Aug →
nuke	12–16	-0.02	28%	6 Aug →
dust2	13–8	-0.03	33%	5 Aug →
dust2	22–19	0.02	25%	3 Aug →
train	13–10	0.06	58%	2 Aug →
anubis	13–3	0.12	33%	2 Aug →
mirage	11–13	0.06	32%	1 Aug →
cache	13–10	-0.01	26%	31 Jul →
train	5–0	0.10	67%	31 Jul →
cache	13–5	0.05	0%	29 Jul →
inferno	10–13	0.02	33%	29 Jul →
dust2	4–13	-0.03	21%	29 Jul →
mirage	13–8	0.13	16%	29 Jul →
nuke	5–13	-0.01	44%	28 Jul →
mirage	15–15	0.11	24%	22 Jul →
nuke	13–10	0.05	30%	22 Jul →
cache	13–11	0.04	16%	21 Jul →
nuke	10–13	0.07	23%	20 Jul →
mirage	13–2	0.14	39%	19 Jul →
nuke	7–13	0.05	29%	19 Jul →
cache	15–15	0.06	32%	18 Jul →
nuke	11–13	-0.03	41%	16 Jul →
nuke	13–8	0.12	18%	14 Jul →
cache	10–13	0.01	24%	13 Jul →
nuke	7–13	-0.01	23%	12 Jul →
mirage	13–1	0.09	15%	12 Jul →
nuke	13–10	0.01	17%	12 Jul →
mirage	6–13	0.04	16%	12 Jul →
cache	13–7	0.04	17%	12 Jul →
cache	13–10	-0.02	11%	11 Jul →
mirage	13–6	0.04	18%	11 Jul →
ancient	13–7	-0.04	22%	11 Jul →
nuke	9–13	0.06	38%	11 Jul →
mirage	13–7	0.03	14%	11 Jul →
dust2	15–15	0.07	22%	11 Jul →
ancient	13–9	0.07	19%	11 Jul →
anubis	8–13	-0.03	12%	10 Jul →
nuke	1–13	-0.07	27%	10 Jul →
inferno	5–13	-0.04	18%	10 Jul →
cache	13–7	0.09	30%	9 Jul →
cache	12–12	0.06	35%	4 Jul →
vertigo	13–8	0.06	22%	4 Jul →
ancient	13–6	0.09	24%	3 Jul →
nuke	13–8	0.09	17%	29 Jun →
anubis	13–6	0.05	29%	24 Jun →
ancient	13–6	0.02	12%	24 Jun →
mirage	8–13	0.02	28%	24 Jun →
mirage	1–8	-0.07	25%	23 Jun →
inferno	11–13	0.03	32%	22 Jun →
dust2	16–12	-0.01	22%	22 Jun →
dust2	10–13	0.01	25%	20 Jun →
ancient	0–13	-0.08	0%	20 Jun →
mirage	10–13	0.03	18%	19 Jun →
train	11–13	0.02	34%	17 Jun →
dust2	5–13	-0.01	21%	17 Jun →
nuke	7–13	0.05	19%	17 Jun →
mirage	8–13	0.02	24%	17 Jun →
inferno	13–10	0.05	47%	15 Jun →
dust2	1–13	-0.02	38%	15 Jun →
ancient	13–7	-0.03	14%	14 Jun →
dust2	13–3	0.04	21%	14 Jun →
mirage	15–15	0.04	11%	13 Jun →
dust2	8–13	-0.02	31%	13 Jun →
anubis	10–13	0.00	35%	12 Jun →
nuke	10–13	-0.02	14%	11 Jun →
ancient	13–11	0.02	24%	11 Jun →
dust2	8–13	-0.02	21%	8 Jun →
nuke	13–4	0.03	28%	7 Jun →
mirage	16–14	0.05	18%	7 Jun →
ancient	0–13	-0.05	0%	7 Jun →
dust2	10–13	-0.01	16%	5 Jun →
inferno	2–13	0.06	30%	5 Jun →
anubis	4–13	-0.07	28%	4 Jun →
anubis	16–14	-0.02	14%	4 Jun →
dust2	13–11	0.03	29%	21 May →
mirage	13–1	0.07	21%	21 May →
nuke	13–8	0.12	29%	21 May →
nuke	9–13	0.06	17%	20 May →
overpass	7–13	0.01	13%	19 May →
dust2	13–5	0.06	21%	19 May →