MumiN^^ — CS2 Stats

76561197983170924[U:1:22905196]Steam profile ↗✓ No bans

1,572Tracked matches63%Win rate2020Tracked since

CSDB Rating7.4 StrongAggressive Rifler

Premier CS Rating28,893Top 5% of 17,162 CSDB-tracked playersRed band · top ~1.1% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim84

Positioning62

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY53–47Last 10053%Win rateWWLLLWWLWL

Last 10 vs previous 10: -10pp win rate · -0.04 avg rating

Player DNA

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

Aim8.4

Aggression9.5

Utility6.2

Positioning6.2

Opening Duels4.7

Clutch3.2

Strong CT-side openerEffective flashes

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 95% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Flashes. 0.81 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 63% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.4

Positioning6.2

Utility6.2

Mechanics6.6

Opening Duels4.7

Win Impact9.4

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 time540ms+13ms

first ⅓ avg 527ms → last ⅓ avg 540ms

Headshot accuracy20.5%−0.3%

first ⅓ avg 20.7% → last ⅓ avg 20.5%

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

0.14Best rating — mirage 8–0

13–2Biggest win — vertigo

7Longest win streak

W2Current streak

9–13In matches decided by ≤2 rounds

15Overtime games

Map breakdown

ancientBest map · 75% over 12overpassWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	29	16–13	55%	0.02
inferno	B	14	7–7	50%	0.04
dust2	B	12	6–6	50%	-0.00
ancient	S	12	9–3	75%	-0.00
anubis	A	11	7–4	64%	0.02
cache	B	6	3–3	50%	0.03
nuke	B	6	3–3	50%	0.01
overpass	D	5	0–5	0%	-0.00
vertigo	—	3	2–1	67%	0.05
cache_b	—	1	0–1	0%	0.01
train	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,951Matches

53%Win rate

1.24Avg K/D

88.2ADR

49%Headshot %

Clutches & streaks

36%1v1 clutch win

24%1v2 clutch win

15Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	270	53%	1.18	17.9
Inferno	191	60%	1.26	18.3
Dust2	183	50%	1.22	18.4
Ancient	165	51%	1.18	17.5
Anubis	157	48%	1.15	18.0
Nuke	71	52%	1.11	16.8
Overpass	55	60%	1.38	20.5
Vertigo	21	62%	1.23	17.2

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.

20.0%Headshot accuracy

38.3%Accuracy (enemy spotted)

41.3%Spray accuracy

79.6%Counter-strafing

9.0°Preaim

549msReaction time

34.4%T opening success

63.0%CT opening success

0.81Enemies flashed / flash

5.8%Flash assists

10.40HE damage / grenade

6.54Flashes / 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 34.4066% — below the 40% mark we flag

Spend your practice time on Overpass

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–7	-0.02	18%	28 Aug →
ancient	13–9	0.03	8%	23 Aug →
inferno	10–13	-0.03	24%	7 Aug →
cache	17–19	0.01	25%	7 Aug →
cache	5–13	-0.03	36%	1 Aug →
anubis	13–6	-0.02	16%	1 Aug →
dust2	16–13	0.02	22%	1 Aug →
inferno	7–13	0.03	21%	1 Aug →
mirage	13–10	0.06	14%	1 Aug →
dust2	11–13	-0.03	23%	1 Aug →
mirage	13–16	-0.02	18%	30 Jul →
cache	13–11	0.08	21%	24 Jul →
ancient	10–13	-0.01	25%	24 Jul →
inferno	16–12	0.05	21%	24 Jul →
dust2	12–16	-0.03	5%	24 Jul →
mirage	13–3	0.12	33%	18 Jul →
anubis	9–13	0.04	15%	9 Jul →
dust2	13–11	0.04	19%	9 Jul →
vertigo	13–2	0.08	26%	9 Jul →
inferno	13–10	0.05	19%	9 Jul →
cache	13–9	-0.01	26%	9 Jul →
mirage	13–11	0.05	24%	6 Jul →
dust2	13–11	0.01	14%	1 Jul →
mirage	13–2	0.03	29%	28 Jun →
dust2	8–13	-0.02	3%	27 Jun →
mirage	13–8	-0.07	26%	27 Jun →
inferno	13–6	0.04	22%	26 Jun →
overpass	13–16	-0.04	14%	26 Jun →
dust2	13–5	0.02	19%	26 Jun →
anubis	13–9	0.05	25%	6 Jun →
dust2	13–10	0.03	33%	6 Jun →
ancient	13–9	0.04	21%	6 Jun →
ancient	13–4	0.08	10%	16 May →
cache	19–16	0.06	18%	15 May →
nuke	13–8	0.08	36%	15 May →
inferno	13–16	-0.01	20%	15 May →
cache	10–13	0.07	24%	15 May →
mirage	11–13	0.07	25%	15 May →
mirage	13–7	0.04	16%	24 Apr →
mirage	11–13	-0.06	11%	16 Apr →
inferno	8–1	0.10	28%	16 Apr →
dust2	9–13	-0.05	27%	16 Apr →
ancient	13–8	-0.04	23%	11 Apr →
anubis	13–8	-0.00	22%	10 Apr →
mirage	6–13	-0.01	17%	10 Apr →
overpass	11–13	0.04	21%	29 Mar →
anubis	16–13	0.08	26%	29 Mar →
ancient	7–13	-0.02	31%	29 Mar →
anubis	16–13	0.02	21%	28 Mar →
mirage	9–13	0.00	12%	28 Mar →
inferno	11–13	0.03	27%	25 Mar →
mirage	13–10	0.02	18%	25 Mar →
ancient	13–10	-0.02	20%	23 Mar →
mirage	11–13	0.04	21%	23 Mar →
overpass	10–13	0.04	22%	20 Mar →
inferno	8–13	0.09	19%	19 Mar →
ancient	13–10	0.03	28%	19 Mar →
mirage	13–10	0.02	27%	18 Mar →
nuke	6–13	0.04	23%	14 Mar →
mirage	11–13	0.02	17%	14 Mar →
mirage	13–9	0.00	24%	12 Mar →
cache_b	19–22	0.01	22%	10 Mar →
anubis	9–13	-0.04	12%	10 Mar →
mirage	13–3	0.04	20%	10 Mar →
ancient	13–4	-0.00	22%	10 Mar →
overpass	14–16	0.04	18%	9 Mar →
ancient	2–13	-0.06	23%	9 Mar →
mirage	8–0	0.14	35%	9 Mar →
ancient	13–8	-0.07	13%	9 Mar →
overpass	11–13	-0.09	20%	9 Mar →
mirage	13–10	0.02	25%	9 Mar →
nuke	8–13	-0.02	17%	9 Mar →
anubis	13–7	0.05	17%	9 Mar →
mirage	9–13	0.00	10%	8 Mar →
mirage	13–6	-0.03	9%	8 Mar →
nuke	5–13	-0.06	17%	8 Mar →
ancient	13–6	0.05	25%	8 Mar →
mirage	7–13	-0.05	8%	8 Mar →
mirage	13–11	0.06	35%	7 Mar →
nuke	13–11	-0.01	10%	6 Mar →
anubis	14–16	-0.02	24%	6 Mar →
dust2	11–13	-0.02	24%	6 Mar →
inferno	11–13	-0.00	14%	6 Mar →
mirage	13–10	-0.03	31%	5 Mar →
inferno	16–14	0.06	22%	5 Mar →
inferno	13–6	0.07	22%	24 Feb →
mirage	7–13	-0.03	17%	24 Feb →
inferno	13–11	-0.00	19%	24 Feb →
inferno	6–13	0.03	21%	23 Feb →
mirage	8–13	0.03	21%	23 Feb →
nuke	13–9	0.01	18%	23 Feb →
dust2	16–19	0.04	25%	22 Feb →
mirage	13–8	-0.01	11%	22 Feb →
anubis	13–11	0.05	22%	22 Feb →
mirage	9–13	0.00	30%	22 Feb →
anubis	8–13	-0.04	33%	22 Feb →
vertigo	5–13	0.00	15%	22 Feb →
train	5–13	-0.04	23%	22 Feb →
vertigo	13–6	0.07	27%	22 Feb →
mirage	10–13	-0.02	26%	18 Feb →