MTN — CS2 Stats

76561198103721728[U:1:143456000]

1,041Tracked matches45%Win rate2024Tracked since

1,415Hours in CS

CSDB Rating3.8 Learning

FaceitLevel 6 · 1,217 ELOTop 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim46

Positioning48

Utility50

0–100 skill scores via Leetify.

Recent form

COLD52–44–4Last 10052%Win rateLLWLLWLLLW

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

Player DNA

Aim4.6

Aggression6.0

Utility5.0

Positioning4.8

Opening Duels2.0

Clutch2.2

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 NiKo 83% playstyle similarity

Most alike: opening-duel success, 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

Areas to improve

Reaction time. 586ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.6

Positioning4.8

Utility5.0

Mechanics4.3

Opening Duels2.0

Win Impact3.3

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.00

Reaction time587ms−57ms

first ⅓ avg 644ms → last ⅓ avg 587ms

Headshot accuracy14.9%−4.8%

first ⅓ avg 19.7% → last ⅓ avg 14.9%

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 — dust2 13–10

13–1Biggest win — mirage

6Longest win streak

L2Current streak

3–4In matches decided by ≤2 rounds

3Overtime games

Map breakdown

mirageBest map · 63% over 8cacheWeakest map · 44% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	23	13–10	57%	0.01
anubis	B	13	7–6	54%	0.00
inferno	A	11	6–5	55%	0.02
cache	C	9	4–5	44%	-0.02
train	C	9	4–5	44%	0.04
ancient	A	9	5–4	56%	-0.01
nuke	B	8	4–4	50%	-0.01
mirage	A	8	5–3	63%	0.01
overpass	B	6	3–3	50%	0.01
vertigo	—	3	1–2	33%	0.00
office	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Lifetime stats

63,281Lifetime kills

0.93K/D

3,829Matches

37.9%Match win rate

37.0%Headshot %

11.3%Shot accuracy

6,952MVPs

1,415Hours (in match)

2,792Bombs planted

974Bombs defused

Most-used weapons

AK-4718,782

M4A4 / M4A1-S10,045

AWP7,233

Desert Eagle4,382

P2000 / USP-S3,428

Knife2,930

P902,433

Glock-182,285

P2501,312

SSG 08893

Lifetime map wins

9,978dust2

3,037inferno

2,777nuke

1,092vertigo

661train

331cbble

142office

64italy

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

Faceit stats

Combat

108Matches

51%Win rate

1.03Avg K/D

80.0ADR

46%Headshot %

Clutches & streaks

31%1v1 clutch win

26%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	28	54%	1.02	14.0
Dust2	18	50%	0.91	12.9
Ancient	15	47%	1.06	18.5
Nuke	14	64%	1.30	17.1
Vertigo	12	42%	0.94	15.1
Inferno	9	44%	0.94	10.6
Anubis	7	57%	1.11	16.6
Overpass	3	67%	1.03	15.3

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.

15.2%Headshot accuracy

31.0%Accuracy (enemy spotted)

33.1%Spray accuracy

69.4%Counter-strafing

10.9°Preaim

586msReaction time

38.2%T opening success

37.6%CT opening success

0.70Enemies flashed / flash

8.5%Flash assists

9.34HE damage / grenade

7.63Flashes / 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 38.2088% — below the 40% mark we flag

Spend your practice time on Cache

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

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	12–16	-0.02	17%	9 Jul →
cache	7–13	0.02	12%	9 Jul →
dust2	13–8	0.06	14%	9 Jul →
dust2	11–13	-0.07	19%	8 Jul →
dust2	8–13	-0.03	16%	6 Jul →
anubis	13–8	0.02	10%	6 Jul →
dust2	13–16	-0.03	20%	22 Jun →
cache	6–13	-0.02	14%	20 Jun →
dust2	3–13	0.00	24%	19 Jun →
inferno	13–9	0.04	18%	19 Jun →
dust2	13–9	0.09	24%	19 Jun →
dust2	9–13	-0.00	26%	19 Jun →
nuke	5–13	-0.00	14%	8 Jun →
anubis	6–13	0.07	17%	6 Jun →
cache	13–6	0.02	20%	5 Jun →
dust2	4–13	-0.05	14%	5 Jun →
train	4–12	-0.02	14%	4 Jun →
anubis	4–13	-0.05	9%	4 Jun →
inferno	13–10	0.02	13%	31 May →
anubis	13–9	0.05	12%	31 May →
vertigo	9–13	0.03	18%	23 May →
dust2	13–6	-0.01	28%	23 May →
overpass	4–13	0.03	8%	19 May →
ancient	13–8	0.02	7%	18 May →
cache	13–11	-0.01	9%	17 May →
overpass	12–12	-0.03	11%	16 May →
dust2	13–9	-0.03	6%	16 May →
cache	7–13	-0.08	14%	14 May →
mirage	13–10	0.06	12%	4 May →
anubis	13–9	0.01	14%	3 May →
nuke	8–13	-0.00	7%	3 May →
mirage	13–6	0.03	16%	3 May →
cache	10–13	-0.06	14%	3 May →
cache	11–2	-0.01	16%	2 May →
cache	13–7	0.00	6%	2 May →
cache	7–13	-0.06	28%	28 Apr →
mirage	6–13	-0.09	14%	25 Apr →
inferno	12–12	-0.02	19%	19 Apr →
anubis	7–13	0.01	22%	19 Apr →
anubis	9–13	-0.01	19%	19 Apr →
vertigo	6–0	0.04	100%	19 Apr →
vertigo	10–13	-0.06	4%	17 Apr →
train	13–7	0.01	24%	17 Apr →
inferno	13–4	0.01	12%	16 Apr →
ancient	9–13	-0.06	29%	14 Apr →
overpass	9–13	0.00	25%	10 Apr →
nuke	13–8	0.05	20%	10 Apr →
ancient	13–9	0.01	7%	10 Apr →
anubis	13–7	0.01	6%	6 Apr →
dust2	13–9	-0.06	17%	6 Apr →
dust2	13–3	0.05	15%	5 Apr →
nuke	6–13	-0.10	3%	31 Mar →
dust2	13–7	0.01	15%	29 Mar →
anubis	10–13	0.00	19%	27 Mar →
anubis	13–5	-0.03	23%	24 Mar →
dust2	13–10	-0.08	5%	24 Mar →
overpass	13–6	-0.00	17%	24 Mar →
ancient	13–6	0.01	20%	24 Mar →
dust2	13–10	-0.05	13%	13 Mar →
dust2	4–13	-0.01	26%	9 Feb →
ancient	11–13	-0.05	11%	9 Feb →
anubis	13–9	0.01	14%	9 Feb →
mirage	6–13	-0.01	12%	7 Feb →
ancient	13–16	-0.03	8%	27 Jan →
dust2	13–9	0.07	25%	22 Jan →
office	2–13	-0.02	11%	22 Jan →
ancient	13–8	0.02	11%	19 Jan →
ancient	13–2	0.04	22%	19 Jan →
nuke	13–11	0.00	20%	18 Jan →
train	10–13	0.02	26%	17 Jan →
train	13–8	0.08	20%	17 Jan →
train	13–9	0.02	19%	17 Jan →
train	12–12	-0.02	12%	17 Jan →
train	13–4	0.07	23%	17 Jan →
inferno	13–9	0.04	25%	16 Jan →
train	10–10	0.09	31%	16 Jan →
ancient	2–7	-0.02	24%	16 Jan →
inferno	11–13	0.01	19%	15 Jan →
inferno	4–13	-0.01	20%	15 Jan →
dust2	8–13	0.03	26%	15 Jan →
inferno	9–13	0.05	15%	13 Jan →
inferno	13–11	0.02	13%	13 Jan →
overpass	6–1	0.08	14%	13 Jan →
anubis	9–13	-0.08	3%	13 Jan →
anubis	13–2	0.01	26%	12 Jan →
dust2	8–13	0.02	24%	9 Jan →
mirage	13–1	-0.03	32%	9 Jan →
dust2	13–6	0.09	14%	9 Jan →
dust2	10–13	-0.02	20%	8 Jan →
overpass	13–9	-0.04	8%	8 Jan →
inferno	9–2	0.07	17%	8 Jan →
dust2	13–10	0.16	19%	8 Jan →
mirage	13–7	0.06	23%	6 Jan →
mirage	13–2	0.11	21%	6 Jan →
nuke	13–6	-0.04	14%	6 Jan →
train	12–12	0.08	18%	6 Jan →
dust2	13–6	-0.00	24%	6 Jan →
nuke	13–8	0.03	14%	5 Jan →
mirage	6–13	-0.06	19%	5 Jan →
nuke	10–13	0.00	28%	5 Jan →