M1 — CS2 Stats

76561197981395298[U:1:21129570]

3,526Tracked matches57%Win rate2020Tracked since

CSDB Rating5.6 SolidSupport

FaceitLevel 10 · 2,271 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim68

Positioning42

Utility76

0–100 skill scores via Leetify.

Recent form

STEADY54–41–5Last 10054%Win rateLWWWLWLTWL

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

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim6.8

Aggression3.3

Utility7.6

Positioning4.2

Opening Duels0.0

Clutch3.2

Strong CT-side openerHigh utility contribution

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 82% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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

Utility. Utility score of 76 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 40% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 574ms 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

Aim6.8

Positioning4.2

Utility7.6

Mechanics5.0

Opening Duels1.2

Win Impact7.4

Composite 5.6/10 (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+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time593ms−7ms

first ⅓ avg 600ms → last ⅓ avg 593ms

Headshot accuracy14.2%−1.0%

first ⅓ avg 15.1% → last ⅓ avg 14.2%

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

0.23Best rating — dust2 4–1

13–1Biggest win — inferno

6Longest win streak

6–6In matches decided by ≤2 rounds

2Overtime games

Map breakdown

infernoBest map · 62% over 42dust2Weakest map · 45% over 31

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	42	26–16	62%	0.01
dust2	B	31	14–17	45%	0.01
cache	B	14	7–7	50%	0.00
anubis	A	11	6–5	55%	0.01
nuke	—	1	0–1	0%	-0.05
overpass	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (45% over 31). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,529Matches

50%Win rate

1.09Avg K/D

73.5ADR

38%Headshot %

Clutches & streaks

36%1v1 clutch win

21%1v2 clutch win

13Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	518	64%	1.13	15.3
Dust2	467	49%	0.98	14.3
Anubis	340	52%	1.04	14.9
Nuke	172	42%	0.96	14.1
Ancient	115	42%	0.96	14.6
Overpass	109	45%	1.02	13.9
Cache	50	40%	0.97	13.5
Mirage	42	43%	1.19	12.6

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.

14.5%Headshot accuracy

39.4%Accuracy (enemy spotted)

43.8%Spray accuracy

72.6%Counter-strafing

11.5°Preaim

574msReaction time

16.8%T opening success

39.7%CT opening success

0.60Enemies flashed / flash

7.2%Flash assists

19.37HE damage / grenade

9.89Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.5442% — below the 15% mark we flag
Aim Training →
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 16.8473% — below the 40% mark we flag

Spend your practice time on Dust 2

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

45% win rate across 31 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	1–3	-0.10	0%	29 Aug →
cache	13–8	0.03	12%	28 Aug →
anubis	13–3	0.14	18%	28 Aug →
inferno	13–9	-0.05	9%	28 Aug →
inferno	1–5	-0.06	0%	28 Aug →
cache	22–18	-0.03	12%	25 Aug →
dust2	8–13	0.03	14%	24 Aug →
inferno	15–15	-0.01	10%	23 Aug →
dust2	13–5	0.08	14%	22 Aug →
cache	10–13	-0.00	17%	22 Aug →
inferno	12–12	0.02	12%	22 Aug →
dust2	13–8	0.07	25%	22 Aug →
inferno	13–6	0.06	14%	22 Aug →
inferno	1–13	-0.02	15%	21 Aug →
inferno	13–9	-0.03	23%	19 Aug →
anubis	3–13	-0.04	9%	19 Aug →
inferno	13–7	0.03	13%	18 Aug →
inferno	13–6	0.03	20%	17 Aug →
dust2	13–8	0.03	16%	16 Aug →
inferno	13–5	0.02	17%	16 Aug →
inferno	6–4	-0.03	15%	15 Aug →
dust2	7–13	0.03	21%	15 Aug →
dust2	4–1	0.23	25%	15 Aug →
inferno	9–13	-0.00	11%	15 Aug →
inferno	9–13	-0.04	18%	15 Aug →
dust2	2–13	-0.12	11%	15 Aug →
anubis	11–5	0.03	11%	15 Aug →
dust2	7–13	-0.05	8%	14 Aug →
inferno	13–1	-0.01	10%	14 Aug →
inferno	9–13	-0.02	20%	11 Aug →
inferno	10–13	-0.04	13%	10 Aug →
anubis	13–8	0.14	15%	9 Aug →
dust2	13–10	-0.01	18%	9 Aug →
inferno	11–13	0.02	18%	9 Aug →
anubis	9–13	0.03	8%	8 Aug →
dust2	3–13	0.07	21%	8 Aug →
inferno	13–10	0.01	9%	8 Aug →
inferno	13–10	0.02	12%	5 Aug →
dust2	10–13	0.03	14%	5 Aug →
dust2	13–8	0.03	15%	4 Aug →
inferno	5–7	0.06	6%	4 Aug →
dust2	13–6	-0.02	14%	4 Aug →
cache	13–10	0.08	26%	3 Aug →
inferno	13–5	0.03	17%	3 Aug →
inferno	13–9	-0.01	16%	3 Aug →
dust2	13–6	-0.02	14%	3 Aug →
inferno	13–11	-0.03	27%	3 Aug →
dust2	8–13	-0.07	7%	31 Jul →
inferno	13–6	-0.00	16%	31 Jul →
dust2	11–0	0.11	22%	31 Jul →
cache	13–4	0.03	18%	30 Jul →
cache	5–13	-0.03	18%	29 Jul →
dust2	5–13	-0.04	13%	29 Jul →
inferno	12–12	0.02	15%	29 Jul →
inferno	13–11	0.06	24%	28 Jul →
inferno	5–13	-0.02	15%	28 Jul →
dust2	13–7	-0.01	7%	27 Jul →
dust2	13–10	0.05	17%	26 Jul →
dust2	9–13	0.04	13%	24 Jul →
inferno	13–7	0.03	15%	23 Jul →
inferno	13–3	0.05	17%	23 Jul →
dust2	11–13	0.04	12%	21 Jul →
inferno	13–11	-0.04	13%	21 Jul →
dust2	1–13	-0.08	21%	21 Jul →
nuke	3–13	-0.05	16%	20 Jul →
anubis	5–13	-0.09	20%	20 Jul →
cache	13–10	0.02	19%	20 Jul →
inferno	9–2	0.07	9%	20 Jul →
dust2	8–13	-0.06	13%	20 Jul →
anubis	5–13	-0.04	23%	19 Jul →
inferno	13–4	0.02	19%	19 Jul →
dust2	13–7	0.06	16%	19 Jul →
anubis	13–8	0.02	9%	19 Jul →
cache	1–13	0.00	11%	19 Jul →
dust2	13–8	-0.00	15%	18 Jul →
inferno	13–11	0.04	20%	18 Jul →
dust2	10–13	0.04	15%	18 Jul →
inferno	13–5	0.06	24%	18 Jul →
cache	2–13	-0.04	13%	18 Jul →
dust2	11–13	0.01	16%	17 Jul →
inferno	12–12	-0.03	13%	17 Jul →
dust2	11–13	-0.02	10%	17 Jul →
anubis	13–10	-0.06	16%	17 Jul →
cache	12–12	-0.02	13%	15 Jul →
anubis	13–7	0.00	22%	13 Jul →
dust2	7–13	0.00	16%	13 Jul →
dust2	13–8	0.01	21%	12 Jul →
inferno	13–5	-0.04	25%	12 Jul →
inferno	13–4	0.04	26%	12 Jul →
cache	3–13	0.02	8%	12 Jul →
inferno	3–13	0.07	14%	12 Jul →
dust2	5–13	-0.02	26%	7 Jul →
overpass	13–5	0.03	15%	6 Jul →
cache	9–13	-0.01	19%	5 Jul →
inferno	13–11	-0.00	14%	5 Jul →
inferno	0–4	-0.02	0%	5 Jul →
inferno	13–6	0.14	16%	3 Jul →
cache	13–9	0.01	5%	2 Jul →
anubis	10–13	-0.05	13%	29 Jun →
cache	13–7	-0.03	8%	29 Jun →