m1 — CS2 Stats

SE76561198348726861[U:1:388461133]Steam profile ↗✓ No bans

400Tracked matches70%Win rate2021Tracked since

1,364Hours in CS8Hrs last 2 wks

CSDB Rating6.6 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim73

Positioning50

Utility50

0–100 skill scores via Leetify.

Recent form

HOT48–44–8Last 10048%Win rateWWWWWLLWLW

Last 10 vs previous 10: +10pp win rate · -0.02 avg rating

Player DNA

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

Aim7.3

Aggression9.8

Utility5.0

Positioning5.0

Opening Duels5.5

Strong CT-side opener

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 86% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 65% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 643ms 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

Aim7.3

Positioning5.0

Utility5.0

Mechanics7.6

Opening Duels5.5

Win Impact10.0

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.03

first ⅓ avg 0.04 → last ⅓ avg 0.01

Reaction time642ms+3ms

first ⅓ avg 639ms → last ⅓ avg 642ms

Headshot accuracy25.8%−0.9%

first ⅓ avg 26.7% → last ⅓ avg 25.8%

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

0.21Best rating — ancient 13–4

13–1Biggest win — mirage

5Longest win streak

W5Current streak

4–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

ancientBest map · 67% over 6infernoWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	34	20–14	59%	0.01
dust2	D	15	5–10	33%	0.02
inferno	D	13	4–9	31%	0.04
nuke	B	13	6–7	46%	0.00
overpass	B	11	5–6	45%	0.04
ancient	S	6	4–2	67%	0.03
cache	—	4	1–3	25%	-0.01
vertigo	—	2	2–0	100%	0.08
anubis	—	1	1–0	100%	0.02
train	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

50,497Lifetime kills

1.24K/D · Top 25% of tracked players

3,043Matches

38.8%Match win rate

41.3%Headshot %

15.6%Shot accuracy · Top 25% of tracked players

4,038MVPs

692Hours (in match)

601Bombs planted

329Bombs defused

Most-used weapons

AK-4715,901

Negev7,576

AWP6,063

M4A4 / M4A1-S5,256

Desert Eagle3,447

P2000 / USP-S2,207

Glock-181,251

P250964

MP9840

SSG 08787

Lifetime map wins

1,433inferno

1,308dust2

668nuke

396vertigo

295cbble

228train

67lake

34office

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

25.7%Headshot accuracy

32.1%Accuracy (enemy spotted)

30.9%Spray accuracy

84.2%Counter-strafing

8.6°Preaim

643msReaction time

38.3%T opening success

65.4%CT opening success

0.53Enemies flashed / flash

6.2%Flash assists

3.71HE damage / grenade

10.49Flashes / 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 38.345% — below the 40% mark we flag

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.

31% win rate across 13 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
ancient	13–5	0.06	20%	27 Aug →
cache	13–9	0.03	25%	24 Aug →
mirage	13–9	0.07	34%	23 Aug →
mirage	13–11	-0.02	22%	21 Aug →
inferno	13–7	-0.01	21%	20 Aug →
cache	4–13	-0.02	17%	20 Aug →
mirage	10–13	-0.02	20%	19 Aug →
ancient	13–10	0.01	16%	19 Aug →
cache	13–16	-0.06	8%	17 Aug →
nuke	13–8	-0.02	24%	17 Aug →
overpass	13–3	0.08	32%	5 Jul →
inferno	6–13	-0.04	24%	5 Jul →
cache	12–12	0.02	25%	17 May →
anubis	13–7	0.02	28%	27 Apr →
mirage	13–6	-0.03	22%	27 Apr →
dust2	13–8	0.01	44%	26 Apr →
inferno	10–13	0.13	41%	26 Apr →
overpass	13–7	0.01	15%	21 Apr →
nuke	11–13	-0.04	27%	20 Apr →
mirage	13–6	0.03	30%	20 Apr →
ancient	7–13	-0.03	35%	20 Apr →
mirage	3–13	-0.02	17%	20 Apr →
ancient	13–10	-0.03	35%	18 Apr →
dust2	15–15	0.04	15%	15 Apr →
dust2	15–15	0.02	20%	13 Apr →
nuke	13–5	-0.04	26%	13 Apr →
overpass	13–7	-0.02	9%	13 Apr →
dust2	7–5	-0.02	62%	9 Apr →
mirage	13–7	0.03	58%	8 Apr →
dust2	13–6	0.08	23%	8 Apr →
mirage	11–13	0.00	17%	22 Mar →
inferno	7–9	0.10	24%	21 Mar →
nuke	11–13	0.08	16%	21 Mar →
mirage	13–8	-0.01	13%	21 Mar →
inferno	3–13	-0.03	19%	20 Mar →
mirage	13–6	0.03	25%	19 Mar →
mirage	15–15	-0.01	18%	21 Feb →
inferno	13–8	0.02	15%	2 Dec →
mirage	13–9	0.02	27%	2 Dec →
overpass	10–13	-0.02	20%	28 Nov →
mirage	13–4	-0.01	10%	28 Nov →
mirage	6–13	-0.03	42%	23 Nov →
overpass	13–8	0.13	21%	23 Nov →
nuke	12–16	0.02	20%	21 Nov →
mirage	9–13	0.03	39%	19 Nov →
overpass	13–5	0.19	27%	17 Nov →
nuke	4–13	-0.10	32%	16 Nov →
inferno	2–13	-0.03	17%	16 Nov →
overpass	6–13	0.06	28%	16 Nov →
ancient	3–13	-0.01	16%	13 Nov →
inferno	13–2	-0.01	28%	13 Nov →
nuke	13–4	-0.06	21%	13 Nov →
mirage	13–5	0.05	34%	11 Nov →
overpass	15–15	0.00	23%	11 Nov →
mirage	13–8	0.08	28%	11 Nov →
nuke	4–13	-0.04	38%	10 Nov →
inferno	13–6	0.17	20%	10 Nov →
mirage	13–5	0.03	27%	10 Nov →
mirage	13–1	-0.01	17%	7 Sept →
overpass	8–13	-0.01	29%	7 Sept →
inferno	12–12	0.01	22%	7 Sept →
mirage	7–13	-0.03	21%	16 Aug →
overpass	3–13	-0.01	18%	4 Aug →
dust2	3–13	-0.03	28%	3 Aug →
overpass	15–15	0.02	22%	3 Aug →
mirage	10–13	-0.06	17%	3 Aug →
mirage	8–2	0.05	13%	3 Aug →
nuke	9–13	0.03	35%	16 May →
ancient	13–4	0.21	32%	18 Apr →
dust2	11–13	0.05	41%	18 Apr →
dust2	5–13	-0.08	27%	3 Apr →
dust2	5–13	-0.02	26%	1 Apr →
inferno	4–13	0.08	20%	1 Apr →
mirage	16–14	0.06	27%	18 Mar →
mirage	9–13	-0.01	32%	17 Mar →
mirage	13–11	0.03	22%	17 Mar →
mirage	15–15	-0.04	18%	20 Feb →
mirage	4–13	-0.05	28%	8 Feb →
dust2	13–6	0.15	32%	8 Feb →
mirage	13–3	0.05	17%	8 Feb →
dust2	3–13	0.07	27%	8 Feb →
train	11–13	0.05	27%	8 Feb →
mirage	5–13	-0.04	26%	7 Feb →
dust2	10–13	0.01	27%	2 Feb →
nuke	13–9	0.03	24%	2 Feb →
dust2	13–1	0.05	14%	26 Jan →
nuke	13–7	0.03	47%	11 Jan →
mirage	13–5	0.11	32%	8 Jan →
vertigo	13–8	0.08	22%	8 Jan →
dust2	11–13	0.00	28%	4 Jan →
mirage	10–13	0.02	25%	3 Jan →
nuke	6–13	0.07	39%	3 Jan →
nuke	13–2	0.08	23%	2 Jan →
inferno	3–13	0.03	9%	2 Jan →
mirage	13–7	0.04	27%	2 Jan →
mirage	13–4	0.07	18%	29 Dec →
vertigo	13–5	0.08	23%	21 Dec →
mirage	12–16	0.03	18%	21 Dec →
inferno	5–13	0.07	31%	20 Dec →
dust2	7–13	0.00	37%	20 Dec →