MRTLAZONE — CS2 Stats

76561198151735990[U:1:191470262]✓ No bans

212Tracked matches40%Win rate2020Tracked since

1,487Hours in CS2Hrs last 2 wks

CSDB Rating4.5 Developing

Premier CS Rating14,285Blue band · top ~32.2% of ranked players (population est.)

CSDB Leaderboard#12520 of 18870 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim47

Positioning54

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY45–53–2Last 10045%Win rateWLWWLWWLLW

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

Aim4.7

Aggression9.2

Utility6.2

Positioning5.4

Opening Duels4.8

Clutch5.6

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 donk 86% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 656ms 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

Aim4.7

Positioning5.4

Utility6.2

Mechanics4.7

Opening Duels4.8

Win Impact1.7

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02

first ⅓ avg -0.00 → last ⅓ avg 0.02

Reaction time650ms−44ms

first ⅓ avg 694ms → last ⅓ avg 650ms

Headshot accuracy18.4%+5.3%

first ⅓ avg 13.1% → last ⅓ avg 18.4%

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

0.12Best rating — dust2 13–10

13–1Biggest win — ancient

7Longest win streak

13–11In matches decided by ≤2 rounds

9Overtime games

Map breakdown

infernoBest map · 71% over 14ancientWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	21	13–8	62%	0.01
mirage	C	20	7–13	35%	-0.01
dust2	C	14	5–9	36%	0.03
inferno	S	14	10–4	71%	0.02
ancient	D	10	2–8	20%	-0.02
cache	C	9	4–5	44%	0.01
overpass	C	8	3–5	38%	-0.02
anubis	—	4	1–3	25%	0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,443Lifetime kills

1.02K/D

2,202Matches

42.1%Match win rate

35.6%Headshot %

14.2%Shot accuracy · Top 50% of tracked players

5,120MVPs

913Hours (in match)

2,368Bombs planted

513Bombs defused

Most-used weapons

AK-4713,963

AWP7,409

M4A4 / M4A1-S7,227

Desert Eagle3,067

P2000 / USP-S2,448

Glock-181,529

MP71,210

P901,016

UMP-45887

P250825

Lifetime map wins

10,722dust2

1,655nuke

1,516inferno

494vertigo

265train

140cbble

17assault

14dust

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

Faceit stats

Combat

56Matches

57%Win rate

0.86Avg K/D

70.2ADR

42%Headshot %

Clutches & streaks

48%1v1 clutch win

20%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	20	55%	0.89	13.7
Mirage	15	60%	0.85	13.4
Ancient	5	40%	0.86	17.2
Inferno	4	50%	0.72	13.3
Anubis	4	75%	0.88	13.5
Nuke	3	67%	0.86	11.7
Cache	3	33%	0.81	12.3
Overpass	2	100%	0.93	13.5

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.

18.3%Headshot accuracy

33.3%Accuracy (enemy spotted)

35.0%Spray accuracy

71.3%Counter-strafing

11.7°Preaim

656msReaction time

49.8%T opening success

48.8%CT opening success

0.60Enemies flashed / flash

7.8%Flash assists

8.92HE damage / grenade

9.91Flashes / match

Recommended for you

Spend your practice time on Ancient

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–10	0.01	11%	10 Aug →
mirage	10–13	0.03	13%	10 Aug →
cache	13–11	0.00	29%	9 Aug →
ancient	13–11	0.02	19%	8 Aug →
nuke	7–13	0.03	22%	7 Aug →
mirage	13–4	0.08	24%	7 Aug →
cache	13–3	0.07	10%	7 Aug →
dust2	9–13	0.11	16%	7 Aug →
nuke	2–13	-0.03	17%	6 Aug →
anubis	13–11	-0.01	10%	6 Aug →
mirage	11–13	0.04	19%	6 Aug →
nuke	13–5	0.07	21%	4 Aug →
mirage	5–13	-0.05	13%	3 Aug →
inferno	7–1	0.04	33%	31 Jul →
ancient	13–1	0.08	39%	27 Jul →
cache	9–13	-0.03	27%	22 Jul →
ancient	6–13	0.06	14%	22 Jul →
nuke	13–4	0.03	13%	22 Jul →
cache	11–13	0.11	22%	19 Jul →
dust2	5–13	0.03	21%	18 Jul →
ancient	6–13	-0.07	5%	18 Jul →
cache	13–8	0.05	20%	16 Jul →
inferno	14–16	0.03	20%	16 Jul →
cache	6–13	-0.00	18%	16 Jul →
mirage	4–13	-0.01	25%	14 Jul →
cache	8–13	-0.07	11%	14 Jul →
dust2	9–13	-0.01	19%	6 Jul →
ancient	7–13	-0.06	9%	5 Jul →
mirage	3–13	0.01	24%	5 Jul →
dust2	13–4	0.06	18%	5 Jul →
anubis	10–13	0.03	12%	4 Jul →
mirage	5–13	-0.04	13%	4 Jul →
dust2	13–7	0.09	21%	3 Jul →
nuke	13–9	0.00	10%	3 Jul →
mirage	1–13	-0.08	20%	22 Jun →
mirage	11–13	-0.01	12%	22 Jun →
nuke	11–13	0.01	11%	18 Jun →
dust2	11–13	-0.04	14%	15 Jun →
nuke	13–11	0.04	16%	11 Jun →
anubis	8–13	-0.00	14%	11 Jun →
mirage	13–10	0.03	26%	8 Jun →
nuke	2–13	-0.00	14%	4 Jun →
inferno	6–1	0.01	17%	4 Jun →
nuke	8–13	-0.02	36%	4 Jun →
dust2	13–9	0.03	18%	3 Jun →
overpass	2–13	-0.04	21%	20 May →
cache	5–13	-0.01	12%	12 May →
overpass	13–11	0.08	9%	28 Apr →
mirage	16–12	0.11	21%	26 Apr →
nuke	12–12	0.04	19%	24 Apr →
mirage	7–13	0.04	17%	22 Apr →
nuke	13–9	0.03	15%	21 Apr →
overpass	16–14	-0.05	22%	13 Apr →
overpass	14–16	0.01	14%	12 Apr →
inferno	13–10	-0.03	8%	8 Apr →
ancient	11–13	-0.04	16%	8 Apr →
mirage	15–15	-0.06	11%	7 Apr →
inferno	11–13	-0.01	19%	5 Apr →
inferno	13–4	0.10	12%	5 Apr →
mirage	3–13	-0.08	11%	3 Apr →
nuke	13–9	0.03	7%	3 Apr →
ancient	9–13	-0.06	5%	2 Apr →
overpass	16–13	-0.07	40%	2 Apr →
nuke	13–3	0.04	5%	1 Apr →
mirage	13–11	-0.06	20%	31 Mar →
nuke	13–11	-0.01	7%	30 Mar →
anubis	5–13	-0.01	9%	30 Mar →
nuke	13–4	-0.01	15%	29 Mar →
inferno	16–14	-0.02	10%	29 Mar →
ancient	5–13	-0.07	9%	28 Mar →
nuke	13–2	0.07	16%	28 Mar →
mirage	8–13	-0.00	11%	27 Mar →
nuke	13–11	0.06	11%	27 Mar →
inferno	8–13	0.03	20%	26 Mar →
dust2	10–13	0.03	19%	24 Mar →
mirage	13–11	-0.05	7%	24 Mar →
inferno	13–2	-0.02	11%	23 Mar →
nuke	10–13	-0.02	6%	23 Mar →
inferno	7–13	-0.02	18%	21 Mar →
mirage	13–9	-0.04	8%	21 Mar →
mirage	0–13	-0.04	13%	20 Mar →
dust2	0–13	-0.04	9%	18 Mar →
overpass	1–13	-0.06	12%	18 Mar →
dust2	13–7	0.02	9%	18 Mar →
ancient	14–16	-0.00	11%	17 Mar →
overpass	4–12	-0.04	6%	16 Mar →
dust2	9–13	0.01	15%	16 Mar →
dust2	14–16	0.03	15%	15 Mar →
overpass	10–13	0.03	15%	15 Mar →
inferno	13–10	0.06	18%	15 Mar →
inferno	13–11	0.01	13%	15 Mar →
inferno	13–9	0.07	10%	15 Mar →
inferno	13–7	-0.02	19%	14 Mar →
nuke	13–8	0.02	11%	14 Mar →
mirage	13–11	-0.03	12%	13 Mar →
dust2	13–10	0.12	13%	12 Mar →
ancient	10–13	-0.01	13%	12 Mar →
nuke	13–7	-0.02	16%	12 Mar →
dust2	8–13	-0.01	13%	12 Mar →
nuke	3–13	-0.10	27%	12 Mar →