Mr3-inch — CS2 Stats

76561199090922165[U:1:1130656437]Steam profile ↗✓ No bans

968Tracked matches54%Win rate2020Tracked since

889Hours in CS

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating20,000Top 50% of 29,473 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)

CSDB Leaderboard#17643 of 45507 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=1,762), 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 7 median	Level 8 median	vs Level 8
Headshot rate	57.1%	46.1%	47.0%	above
Shot accuracy	9.2%	12.6%	12.7%	3.5% short
Kill/death ratio	1.86	1.05	1.07	above
Match win rate	44.5%	45.7%	46.4%	1.8% short

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim71

Positioning66

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateLWWWWLLWWL

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

Player DNA

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

Aim7.1

Aggression8.9

Utility5.4

Positioning6.6

Opening Duels5.0

Clutch5.2

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 sh1ro 90% playstyle similarity

Most alike: positioning profile, 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. 615ms 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

Aim7.1

Positioning6.6

Utility5.4

Mechanics8.1

Opening Duels5.0

Win Impact6.2

Composite 6.7/10 (Solid), 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 rating0.02−0.01

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time633ms+19ms

first ⅓ avg 613ms → last ⅓ avg 633ms

Headshot accuracy19.3%+0.9%

first ⅓ avg 18.5% → last ⅓ avg 19.3%

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

0.15Best rating — inferno 13–4

13–0Biggest win — dust2

6Longest win streak

7–10In matches decided by ≤2 rounds

10Overtime games

Map breakdown

overpassBest map · 80% over 5anubisWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	22	9–13	41%	0.00
mirage	S	19	14–5	74%	0.03
dust2	S	17	11–6	65%	0.03
ancient	C	16	7–9	44%	0.03
inferno	C	11	4–7	36%	0.05
anubis	D	6	1–5	17%	0.03
overpass	S	5	4–1	80%	0.05
vertigo	—	2	0–2	0%	0.07
train	—	1	0–1	0%	-0.05
office	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

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

Lifetime stats

71,015Lifetime kills

1.86K/D · Top 5% of Level 7 players

2,107Matches

44.5%Match win rate

57.1%Headshot % · Top 25% of Level 7 players

9.2%Shot accuracy

5,035MVPs

889Hours (in match)

1,321Bombs planted

425Bombs defused

Most-used weapons

AK-4736,118

M4A4 / M4A1-S13,158

AWP5,591

P2000 / USP-S2,969

Desert Eagle2,361

Glock-182,132

MP91,061

Galil AR963

MAC-10910

FAMAS812

Lifetime map wins

3,644dust2

2,778nuke

2,309inferno

1,010vertigo

697office

315train

107italy

45militia

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

Faceit stats

Combat

140Matches

52%Win rate

1.35Avg K/D

98.8ADR

41%Headshot %

Clutches & streaks

46%1v1 clutch win

30%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	28	50%	1.45	20.6
Nuke	17	71%	1.55	23.9
Inferno	15	33%	1.36	20.4
Anubis	14	50%	1.33	20.5
Dust2	13	62%	1.47	20.8
Ancient	12	50%	1.22	18.3
Vertigo	12	42%	1.35	17.1
Overpass	8	50%	1.41	21.5

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.

19.0%Headshot accuracy

34.8%Accuracy (enemy spotted)

34.3%Spray accuracy

86.6%Counter-strafing

10.2°Preaim

615msReaction time

47.8%T opening success

52.5%CT opening success

0.62Enemies flashed / flash

8.5%Flash assists

7.10HE damage / grenade

13.33Flashes / 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.

17% win rate across 6 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	10–13	0.07	14%	23 Apr →
mirage	16–12	0.04	13%	16 Apr →
overpass	13–6	0.02	17%	14 Apr →
mirage	13–6	0.03	11%	13 Apr →
ancient	13–4	0.08	20%	12 Apr →
mirage	8–13	0.02	14%	12 Apr →
anubis	3–13	-0.01	20%	12 Apr →
dust2	13–9	0.02	19%	12 Apr →
ancient	13–10	0.04	13%	12 Apr →
inferno	6–13	0.05	36%	2 Apr →
nuke	8–13	0.01	11%	31 Mar →
overpass	3–13	0.06	24%	31 Mar →
dust2	13–11	0.01	15%	30 Mar →
dust2	13–11	0.10	19%	30 Mar →
mirage	13–7	-0.01	16%	30 Mar →
ancient	13–4	0.04	20%	27 Mar →
mirage	3–13	-0.02	15%	16 Feb →
ancient	4–13	0.01	26%	13 Feb →
dust2	13–5	0.05	36%	13 Feb →
dust2	6–13	0.00	20%	12 Feb →
inferno	9–13	-0.04	18%	12 Feb →
mirage	15–15	0.01	17%	11 Feb →
dust2	2–13	-0.06	13%	11 Feb →
anubis	10–13	-0.04	18%	11 Feb →
vertigo	12–12	0.10	30%	11 Feb →
inferno	13–16	0.02	18%	10 Feb →
ancient	13–7	0.07	26%	10 Feb →
nuke	13–7	0.01	19%	10 Feb →
dust2	13–9	0.00	17%	10 Feb →
mirage	13–10	0.08	22%	10 Feb →
nuke	11–13	0.02	20%	9 Feb →
mirage	16–13	0.03	19%	9 Feb →
dust2	8–13	0.03	21%	9 Feb →
anubis	6–13	0.08	35%	9 Feb →
ancient	5–13	-0.01	21%	4 Feb →
ancient	11–13	0.02	41%	4 Feb →
dust2	3–13	-0.04	26%	4 Feb →
mirage	13–7	0.07	28%	4 Feb →
anubis	13–3	0.11	45%	3 Feb →
mirage	13–8	0.03	17%	3 Feb →
nuke	11–13	0.04	17%	3 Feb →
inferno	13–16	0.05	16%	3 Feb →
anubis	15–15	0.02	25%	1 Feb →
inferno	13–6	0.09	17%	31 Jan →
dust2	13–11	0.09	17%	31 Jan →
nuke	4–13	-0.01	23%	31 Jan →
ancient	8–13	-0.03	11%	31 Jan →
anubis	11–13	0.02	12%	31 Jan →
nuke	6–13	-0.07	20%	31 Jan →
nuke	0–13	-0.12	11%	30 Jan →
mirage	16–14	0.01	15%	30 Jan →
nuke	8–13	0.06	16%	30 Jan →
nuke	13–9	0.03	17%	30 Jan →
overpass	13–7	0.04	14%	19 Jan →
nuke	13–2	0.07	13%	19 Jan →
dust2	13–5	0.02	13%	19 Jan →
overpass	13–8	0.07	15%	19 Jan →
nuke	13–7	0.06	10%	18 Jan →
nuke	3–10	-0.15	13%	8 Dec →
ancient	7–13	-0.05	19%	7 Dec →
nuke	11–13	0.00	16%	7 Dec →
dust2	13–8	0.02	16%	7 Dec →
inferno	16–14	0.00	24%	6 Dec →
inferno	8–8	0.08	26%	6 Dec →
nuke	0–6	-0.10	20%	4 Dec →
ancient	11–13	0.04	22%	8 Oct →
inferno	9–13	0.09	18%	8 Oct →
nuke	13–9	0.02	18%	8 Oct →
mirage	2–13	-0.03	18%	7 Oct →
mirage	13–8	-0.01	23%	7 Oct →
mirage	13–11	0.11	31%	7 Oct →
mirage	13–10	-0.08	13%	6 Oct →
nuke	8–13	-0.03	16%	6 Oct →
dust2	13–0	0.13	23%	6 Oct →
mirage	13–4	0.04	19%	6 Oct →
nuke	13–10	0.00	15%	25 Sept →
inferno	13–4	0.15	16%	4 Sept →
mirage	13–7	0.07	24%	4 Sept →
dust2	6–13	-0.01	15%	4 Sept →
dust2	11–13	0.04	12%	4 Sept →
nuke	11–13	-0.03	13%	4 Sept →
ancient	10–13	0.02	10%	26 Aug →
vertigo	3–13	0.04	19%	26 Aug →
train	1–13	-0.05	19%	26 Aug →
dust2	13–7	0.06	19%	26 Aug →
office	13–10	0.05	9%	26 Aug →
nuke	13–4	0.06	11%	25 Aug →
dust2	13–9	0.03	31%	25 Aug →
ancient	13–4	0.09	20%	25 Aug →
nuke	7–13	0.00	21%	25 Aug →
ancient	13–6	0.01	10%	25 Aug →
ancient	14–16	0.03	29%	24 Aug →
nuke	13–5	0.13	25%	24 Aug →
inferno	5–13	0.01	27%	21 Aug →
mirage	13–11	0.06	19%	20 Aug →
nuke	16–12	0.04	15%	20 Aug →
ancient	13–5	0.02	24%	20 Aug →
ancient	11–13	0.02	11%	20 Aug →
overpass	13–10	0.08	19%	19 Aug →
inferno	13–7	0.10	17%	19 Aug →