mNstr — CS2 Stats

76561197965769523[U:1:5503795]Steam profile ↗✓ No bans

2,391Tracked matches45%Win rate2020Tracked since

CSDB Rating6.1 SolidAggressive Rifler

FaceitLevel 10 · 2,359 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim74

Positioning57

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY47–52–1Last 10047%Win rateLLWWLWWWLL

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.

Aim7.4

Aggression8.2

Utility6.5

Positioning5.7

Opening Duels3.8

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 b1t 91% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

T-side openings. Opening success drops from 55% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 597ms 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

Aim7.4

Positioning5.7

Utility6.5

Mechanics7.1

Opening Duels3.8

Win Impact3.3

Composite 6.1/10 (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 rating-0.00+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time592ms−12ms

first ⅓ avg 605ms → last ⅓ avg 592ms

Headshot accuracy17.0%+0.4%

first ⅓ avg 16.6% → last ⅓ avg 17.0%

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

0.11Best rating — nuke 13–11

13–1Biggest win — inferno

4Longest win streak

L2Current streak

10–11In matches decided by ≤2 rounds

14Overtime games

Map breakdown

anubisBest map · 80% over 5ancientWeakest map · 26% over 19

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	25	11–14	44%	-0.00
inferno	A	22	12–10	55%	0.01
ancient	D	19	5–14	26%	-0.01
nuke	A	16	9–7	56%	-0.02
cache	B	6	3–3	50%	-0.03
anubis	S	5	4–1	80%	0.01
overpass	—	4	2–2	50%	0.00
mirage	—	3	1–2	33%	-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (26% over 19). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,853Matches

50%Win rate

1.06Avg K/D

81.2ADR

40%Headshot %

Clutches & streaks

36%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	209	49%	1.04	16.0
Inferno	184	56%	1.06	15.8
Ancient	150	47%	1.02	16.2
Nuke	126	57%	1.01	15.6
Mirage	118	49%	1.11	17.4
Anubis	58	40%	0.92	14.8
Overpass	32	59%	1.09	16.2
Cache	27	56%	0.99	15.2

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.

16.8%Headshot accuracy

36.8%Accuracy (enemy spotted)

37.9%Spray accuracy

82.1%Counter-strafing

9.3°Preaim

597msReaction time

35.3%T opening success

55.1%CT opening success

0.70Enemies flashed / flash

5.4%Flash assists

14.31HE damage / grenade

8.13Flashes / 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 35.2833% — below the 40% mark we flag

Spend your practice time on Ancient

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

26% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	9–13	-0.06	26%	16 Aug →
ancient	8–13	-0.01	16%	16 Aug →
cache	13–9	0.01	15%	1 Aug →
inferno	13–11	-0.01	14%	1 Aug →
ancient	5–13	0.06	16%	1 Aug →
dust2	13–7	0.02	20%	30 Jul →
cache	13–8	-0.03	19%	19 Jul →
anubis	13–8	0.01	17%	16 Jul →
mirage	8–13	0.04	10%	16 Jul →
mirage	10–13	-0.03	15%	15 Jul →
cache	3–13	-0.03	10%	14 Jul →
ancient	23–25	-0.01	11%	12 Jul →
ancient	13–6	-0.02	17%	9 Jul →
dust2	13–4	0.03	17%	9 Jul →
nuke	15–15	0.01	20%	9 Jul →
inferno	13–11	0.00	26%	9 Jul →
inferno	13–1	0.08	24%	8 Jul →
inferno	9–13	0.00	21%	1 Jul →
anubis	13–8	0.05	12%	30 Jun →
nuke	12–1	0.02	16%	30 Jun →
overpass	11–13	-0.06	3%	28 Jun →
dust2	13–9	0.03	17%	21 Jun →
anubis	11–13	-0.00	22%	18 Jun →
inferno	10–13	0.02	10%	17 Jun →
cache	10–13	-0.07	21%	14 Jun →
dust2	6–13	0.01	25%	12 Jun →
dust2	6–13	-0.04	24%	12 Jun →
dust2	10–13	-0.05	8%	7 Jun →
nuke	13–9	-0.05	17%	7 Jun →
dust2	11–13	0.03	23%	4 Jun →
dust2	2–13	-0.07	32%	31 May →
ancient	10–13	-0.02	10%	31 May →
inferno	13–11	0.01	9%	28 May →
nuke	13–9	-0.03	7%	28 May →
ancient	13–10	0.00	18%	28 May →
ancient	8–13	-0.07	15%	24 May →
cache	13–7	0.00	17%	24 May →
ancient	8–13	-0.04	6%	24 May →
nuke	7–13	0.01	24%	24 May →
inferno	11–13	-0.01	34%	23 May →
ancient	10–13	-0.04	15%	21 May →
anubis	16–13	-0.02	14%	21 May →
nuke	6–13	-0.07	6%	21 May →
dust2	13–9	0.05	32%	21 May →
nuke	13–7	-0.00	11%	20 May →
anubis	13–11	0.00	12%	19 May →
inferno	28–24	-0.02	13%	16 May →
cache	13–16	-0.06	22%	15 May →
nuke	19–16	-0.06	15%	12 May →
inferno	14–16	-0.01	12%	12 May →
nuke	13–5	-0.02	21%	7 May →
dust2	12–16	-0.04	14%	7 May →
ancient	11–13	0.08	21%	3 May →
dust2	13–6	0.10	24%	28 Apr →
dust2	14–16	-0.05	16%	27 Apr →
inferno	13–6	0.07	29%	27 Apr →
ancient	6–13	-0.02	14%	27 Apr →
inferno	7–13	0.03	29%	19 Apr →
overpass	13–7	0.07	18%	19 Apr →
dust2	8–13	-0.04	22%	19 Apr →
inferno	10–13	0.02	13%	19 Apr →
inferno	5–13	0.04	6%	15 Apr →
ancient	13–16	-0.03	20%	13 Apr →
nuke	16–12	-0.00	16%	13 Apr →
inferno	11–13	-0.01	28%	13 Apr →
inferno	13–4	0.04	13%	7 Apr →
dust2	13–9	0.00	19%	7 Apr →
nuke	12–16	-0.05	20%	6 Apr →
mirage	13–11	-0.01	23%	6 Apr →
ancient	9–13	-0.05	13%	29 Mar →
dust2	16–13	-0.00	21%	29 Mar →
dust2	13–3	0.03	13%	26 Mar →
inferno	5–13	-0.06	11%	22 Mar →
nuke	13–11	0.11	14%	22 Mar →
inferno	13–6	0.04	16%	22 Mar →
dust2	8–13	-0.03	18%	22 Mar →
nuke	14–16	-0.03	24%	19 Mar →
dust2	7–13	-0.08	19%	19 Mar →
inferno	13–4	-0.02	6%	19 Mar →
inferno	13–10	-0.00	14%	15 Mar →
dust2	11–13	0.03	23%	15 Mar →
nuke	13–11	-0.02	25%	12 Mar →
ancient	13–11	0.01	22%	12 Mar →
dust2	13–11	0.03	16%	12 Mar →
nuke	8–13	-0.05	11%	10 Mar →
ancient	4–13	-0.06	14%	10 Mar →
overpass	6–13	-0.02	29%	8 Mar →
ancient	6–13	-0.06	20%	8 Mar →
dust2	13–10	-0.00	21%	8 Mar →
ancient	13–11	0.04	16%	8 Mar →
dust2	8–13	-0.01	14%	8 Mar →
ancient	13–7	0.05	19%	4 Mar →
dust2	2–13	-0.10	15%	4 Mar →
ancient	5–13	-0.03	18%	4 Mar →
dust2	9–13	0.03	8%	4 Mar →
inferno	5–13	-0.03	17%	3 Mar →
inferno	13–10	0.02	9%	3 Mar →
dust2	13–6	0.07	12%	3 Mar →
inferno	13–10	0.05	12%	3 Mar →
overpass	13–9	0.01	18%	1 Mar →