MMehigh — CS2 Stats

IM76561198000074323[U:1:39808595]Steam profile ↗✓ No bans

2,821Tracked matches61%Win rate2020Tracked since

CSDB Rating6.8 SolidHybrid Rifler

Premier CS Rating22,448Top 50% of 29,473 CSDB-tracked playersPink band · top ~5.8% of ranked players (population est.)

CSDB Leaderboard#13417 of 53939 tracked

FaceitLevel 9 · 2,152 ELOTop 20.7% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim85

Positioning58

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY59–35–6Last 10059%Win rateLWWTLLWLWL

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim8.5

Aggression5.9

Utility5.7

Positioning5.8

Opening Duels3.1

Clutch3.4

Sharp aimerStrong 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 NiKo 94% playstyle similarity

Most alike: opening-duel success, positioning 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

T-side openings. Opening success drops from 51% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 571ms 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

Aim8.5

Positioning5.8

Utility5.7

Mechanics6.3

Opening Duels3.1

Win Impact8.6

Composite 6.8/10 (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+0.02

first ⅓ avg 0.00 → last ⅓ avg 0.02

Reaction time579ms−12ms

first ⅓ avg 591ms → last ⅓ avg 579ms

Headshot accuracy25.4%+8.5%

first ⅓ avg 17.0% → last ⅓ avg 25.4%

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

0.13Best rating — dust2 13–3

13–0Biggest win — dust2

8Longest win streak

12–9In matches decided by ≤2 rounds

13Overtime games

Map breakdown

ancientBest map · 72% over 18infernoWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
anubis	S	27	18–9	67%	0.01
dust2	A	24	14–10	58%	0.02
ancient	S	18	13–5	72%	0.02
mirage	C	12	5–7	42%	-0.00
nuke	S	9	6–3	67%	0.02
inferno	C	5	2–3	40%	-0.00
cache	—	3	1–2	33%	-0.01
overpass	—	2	0–2	0%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

982Matches

52%Win rate

1.18Avg K/D

77.9ADR

46%Headshot %

Clutches & streaks

37%1v1 clutch win

20%1v2 clutch win

12Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	165	55%	1.17	16.6
Dust2	160	49%	1.14	15.6
Anubis	111	60%	1.04	15.0
Mirage	86	51%	1.09	14.9
Nuke	76	51%	1.21	16.8
Vertigo	31	42%	1.08	16.9
Inferno	23	39%	1.12	15.8
Cache	18	39%	0.80	12.5

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.

25.4%Headshot accuracy

36.8%Accuracy (enemy spotted)

37.2%Spray accuracy

78.3%Counter-strafing

8.0°Preaim

571msReaction time

33.6%T opening success

51.5%CT opening success

0.53Enemies flashed / flash

7.5%Flash assists

7.67HE damage / grenade

9.59Flashes / 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 33.5761% — 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.

40% win rate across 5 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	14–16	0.04	26%	28 Aug →
dust2	13–0	0.00	36%	4 Aug →
dust2	13–5	0.06	24%	3 Aug →
anubis	12–12	0.00	25%	25 Jul →
dust2	1–8	-0.01	14%	25 Jul →
dust2	14–16	-0.04	24%	20 Jul →
ancient	13–2	0.05	30%	20 Jul →
dust2	7–13	0.03	26%	20 Jul →
anubis	13–4	0.00	30%	20 Jul →
mirage	11–13	-0.07	22%	20 Jul →
mirage	11–13	-0.01	23%	20 Jul →
anubis	13–11	0.07	33%	18 Jul →
dust2	13–6	0.01	25%	18 Jul →
dust2	13–7	0.01	30%	18 Jul →
anubis	13–11	0.05	15%	13 Jul →
cache	13–2	0.03	32%	13 Jul →
ancient	15–15	-0.04	20%	13 Jul →
anubis	13–11	-0.00	19%	4 Jul →
anubis	13–11	0.00	19%	3 Jul →
dust2	11–13	0.03	29%	3 Jul →
overpass	11–13	-0.02	22%	3 Jul →
dust2	9–13	0.10	29%	27 Jun →
nuke	13–10	0.07	34%	27 Jun →
ancient	13–6	0.07	40%	27 Jun →
mirage	13–8	0.04	29%	27 Jun →
anubis	9–13	0.02	21%	26 Jun →
inferno	13–5	0.06	43%	26 Jun →
ancient	10–13	0.00	14%	26 Jun →
ancient	6–2	-0.00	32%	26 Jun →
anubis	16–14	0.01	16%	26 Jun →
dust2	13–4	0.03	24%	23 Jun →
inferno	1–13	-0.04	14%	21 Jun →
nuke	13–7	0.06	19%	13 Jun →
mirage	3–13	-0.02	25%	13 Jun →
nuke	15–15	-0.01	17%	11 Jun →
anubis	0–6	-0.05	27%	11 Jun →
dust2	13–10	0.03	24%	11 Jun →
mirage	15–15	0.00	29%	10 Jun →
dust2	13–10	-0.04	17%	10 Jun →
ancient	13–6	0.09	13%	10 Jun →
nuke	12–16	-0.03	26%	10 Jun →
dust2	13–9	0.03	23%	10 Jun →
dust2	16–13	-0.00	27%	9 Jun →
ancient	13–6	0.05	40%	9 Jun →
dust2	13–4	0.03	22%	9 Jun →
anubis	13–11	0.06	19%	9 Jun →
ancient	13–9	0.03	23%	9 Jun →
anubis	6–13	-0.03	20%	9 Jun →
dust2	11–13	0.00	16%	8 Jun →
anubis	4–7	0.12	36%	6 Jun →
mirage	13–3	-0.01	30%	6 Jun →
dust2	6–13	-0.03	19%	6 Jun →
anubis	13–9	0.06	17%	5 Jun →
anubis	13–9	-0.01	17%	5 Jun →
mirage	13–10	0.04	30%	5 Jun →
mirage	13–11	0.02	23%	5 Jun →
ancient	13–11	0.02	30%	5 Jun →
anubis	0–4	-0.03	33%	1 Jun →
mirage	11–13	0.01	15%	1 Jun →
overpass	15–15	0.00	22%	1 Jun →
nuke	13–7	0.12	33%	1 Jun →
dust2	8–13	0.00	23%	29 May →
anubis	13–6	-0.00	23%	29 May →
anubis	15–15	0.02	19%	28 May →
ancient	13–5	0.02	15%	28 May →
dust2	13–3	0.13	20%	28 May →
mirage	13–4	0.00	33%	28 May →
anubis	13–8	0.02	32%	28 May →
anubis	13–7	0.05	24%	28 May →
inferno	4–13	-0.04	11%	28 May →
anubis	13–3	0.00	12%	21 May →
ancient	13–3	0.02	14%	21 May →
dust2	13–10	0.07	23%	20 May →
dust2	6–13	0.02	24%	20 May →
ancient	13–10	0.01	17%	20 May →
ancient	6–13	0.01	16%	18 May →
anubis	6–13	-0.06	9%	17 May →
anubis	13–6	0.04	13%	11 May →
anubis	16–12	0.04	17%	7 May →
anubis	13–10	-0.01	16%	5 May →
anubis	10–13	0.00	8%	5 May →
cache	5–13	-0.08	27%	2 May →
dust2	7–13	-0.08	12%	2 May →
ancient	13–5	0.07	21%	29 Apr →
cache	4–13	0.03	16%	23 Apr →
ancient	1–13	-0.12	9%	23 Apr →
nuke	11–13	0.00	20%	5 Apr →
ancient	13–7	0.04	16%	5 Apr →
inferno	13–9	0.04	17%	5 Apr →
mirage	6–13	0.01	24%	5 Apr →
dust2	13–11	0.03	24%	5 Apr →
nuke	13–5	-0.01	10%	5 Apr →
dust2	13–7	-0.00	22%	5 Apr →
nuke	13–6	0.00	13%	2 Apr →
ancient	13–3	-0.03	9%	2 Apr →
anubis	13–11	-0.00	12%	2 Apr →
anubis	16–14	0.00	10%	29 Mar →
nuke	16–14	-0.00	11%	10 Mar →
mirage	8–13	-0.02	27%	24 Feb →
inferno	8–13	-0.04	24%	24 Feb →