bmo — CS2 Stats

76561198060802468[U:1:100536740]Steam profile ↗✓ No bans

3,276Tracked matches40%Win rate2020Tracked since

CSDB Rating6.1 SolidHybrid Rifler

FaceitLevel 10 · 2,744 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim84

Positioning55

Utility68

0–100 skill scores via Leetify.

Recent form

COLD54–44–2Last 10054%Win rateLLLLLLWLWL

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.

Aim8.4

Aggression5.8

Utility6.8

Positioning5.5

Opening Duels1.8

Clutch3.0

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, utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.4

Positioning5.5

Utility6.8

Mechanics6.8

Opening Duels1.8

Win Impact1.7

Composite 6.1/10 (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 rating0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg 0.00

Reaction time542ms−27ms

first ⅓ avg 569ms → last ⅓ avg 542ms

Headshot accuracy22.1%−0.6%

first ⅓ avg 22.6% → last ⅓ avg 22.1%

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

0.12Best rating — dust2 13–6

13–3Biggest win — inferno

5Longest win streak

L6Current streak

18–11In matches decided by ≤2 rounds

12Overtime games

Map breakdown

infernoBest map · 85% over 13dust2Weakest map · 21% over 19

Map	Grade	Played	Record	Win rate	Avg rating
anubis	A	21	13–8	62%	0.00
dust2	D	19	4–15	21%	-0.00
cache	S	16	11–5	69%	0.03
mirage	C	14	6–8	43%	-0.01
inferno	S	13	11–2	85%	0.02
ancient	C	7	3–4	43%	0.03
overpass	S	6	4–2	67%	-0.01
nuke	—	4	2–2	50%	0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (21% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,600Matches

51%Win rate

1.05Avg K/D

74.3ADR

40%Headshot %

Clutches & streaks

35%1v1 clutch win

18%1v2 clutch win

13Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	523	49%	1.03	15.6
Anubis	421	55%	1.06	16.0
Inferno	307	54%	1.07	15.8
Mirage	297	49%	0.99	14.8
Ancient	198	46%	1.02	15.3
Train	141	58%	1.06	14.8
Overpass	107	53%	1.06	15.7
Nuke	88	50%	0.98	15.5

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.

20.9%Headshot accuracy

37.3%Accuracy (enemy spotted)

39.8%Spray accuracy

80.6%Counter-strafing

8.7°Preaim

538msReaction time

33.2%T opening success

41.4%CT opening success

0.53Enemies flashed / flash

11.7%Flash assists

10.50HE damage / grenade

16.05Flashes / 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 33.1565% — 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.

21% win rate across 19 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
dust2	6–13	0.02	25%	23 Aug →
anubis	8–13	0.02	18%	23 Aug →
mirage	1–13	-0.05	29%	22 Aug →
dust2	10–13	0.05	15%	22 Aug →
dust2	11–13	-0.03	23%	22 Aug →
mirage	3–13	0.02	18%	19 Aug →
anubis	16–13	-0.01	19%	19 Aug →
dust2	11–13	-0.02	15%	18 Aug →
anubis	13–5	0.01	10%	18 Aug →
dust2	6–13	-0.04	20%	17 Aug →
ancient	8–13	0.02	21%	17 Aug →
anubis	13–4	0.07	26%	17 Aug →
dust2	16–19	-0.01	24%	17 Aug →
inferno	13–11	-0.01	17%	17 Aug →
anubis	14–16	-0.05	18%	17 Aug →
inferno	13–11	0.07	19%	16 Aug →
mirage	4–13	-0.09	20%	16 Aug →
ancient	17–19	0.03	24%	16 Aug →
nuke	16–12	0.01	27%	15 Aug →
anubis	13–6	0.00	47%	15 Aug →
anubis	13–16	0.03	15%	15 Aug →
cache	8–13	0.10	26%	15 Aug →
dust2	12–16	-0.02	11%	13 Aug →
cache	13–6	0.05	13%	12 Aug →
dust2	7–13	-0.06	19%	10 Aug →
cache	16–12	0.01	22%	10 Aug →
anubis	13–11	0.03	18%	10 Aug →
cache	13–10	0.02	25%	9 Aug →
mirage	13–5	0.01	16%	9 Aug →
cache	14–16	0.00	29%	8 Aug →
cache	13–6	-0.05	32%	8 Aug →
anubis	9–13	-0.05	40%	8 Aug →
inferno	16–13	0.04	29%	7 Aug →
dust2	10–13	0.03	24%	7 Aug →
anubis	13–5	0.00	15%	7 Aug →
inferno	13–3	-0.00	38%	7 Aug →
cache	13–4	0.01	22%	7 Aug →
dust2	7–13	0.01	17%	4 Aug →
cache	13–11	0.03	23%	4 Aug →
dust2	13–4	-0.07	24%	4 Aug →
inferno	13–8	0.02	17%	4 Aug →
anubis	13–6	-0.02	20%	3 Aug →
cache	11–13	-0.03	13%	3 Aug →
cache	13–11	-0.03	30%	2 Aug →
mirage	13–11	0.01	38%	30 Jul →
dust2	11–13	-0.04	22%	30 Jul →
cache	13–7	0.05	18%	28 Jun →
nuke	9–7	0.06	26%	27 Jun →
overpass	13–7	0.03	45%	26 Jun →
inferno	13–10	0.05	25%	26 Jun →
anubis	13–11	-0.03	25%	26 Jun →
dust2	10–13	-0.00	16%	25 Jun →
dust2	13–6	0.12	26%	25 Jun →
dust2	11–13	0.03	33%	24 Jun →
mirage	13–9	-0.04	13%	20 Jun →
dust2	13–11	0.02	23%	20 Jun →
inferno	13–8	-0.00	30%	20 Jun →
cache	13–5	0.08	18%	15 Jun →
cache	5–1	0.10	60%	15 Jun →
mirage	9–13	-0.02	22%	15 Jun →
inferno	13–5	0.08	23%	15 Jun →
anubis	9–13	-0.04	16%	15 Jun →
dust2	6–13	-0.01	23%	10 Jun →
mirage	13–8	0.02	20%	9 Jun →
dust2	13–11	0.02	29%	7 Jun →
overpass	13–7	0.01	23%	7 Jun →
inferno	13–8	0.04	25%	6 Jun →
ancient	13–7	0.05	27%	6 Jun →
ancient	9–13	0.07	18%	5 Jun →
ancient	13–11	0.00	21%	5 Jun →
anubis	16–14	0.05	22%	4 Jun →
nuke	5–13	-0.02	23%	31 May →
inferno	13–10	0.01	24%	31 May →
anubis	3–13	-0.02	11%	31 May →
nuke	0–7	0.00	44%	31 May →
cache	12–12	-0.02	18%	30 May →
mirage	6–13	-0.01	19%	30 May →
anubis	10–13	-0.02	20%	30 May →
ancient	11–13	0.07	28%	30 May →
ancient	13–10	-0.00	27%	29 May →
anubis	9–13	0.06	30%	29 May →
anubis	13–11	-0.03	13%	25 May →
inferno	13–11	-0.01	25%	25 May →
dust2	11–13	-0.05	18%	24 May →
anubis	13–8	0.02	16%	24 May →
inferno	2–13	-0.05	18%	24 May →
overpass	13–5	-0.02	21%	24 May →
anubis	13–11	-0.03	19%	24 May →
inferno	15–15	0.01	33%	19 May →
mirage	10–13	-0.02	23%	18 May →
anubis	13–4	0.10	33%	18 May →
mirage	8–13	0.02	22%	16 May →
mirage	2–13	-0.09	14%	16 May →
cache	13–9	0.05	25%	14 May →
overpass	6–13	-0.08	17%	13 May →
cache	11–13	0.03	26%	13 May →
overpass	13–11	0.01	10%	13 May →
mirage	13–11	0.01	29%	13 May →
overpass	9–13	-0.01	24%	13 May →
mirage	13–11	0.08	30%	12 May →