Bom — CS2 Stats

76561198446235574[U:1:485969846]

3,179Tracked matches59%Win rate2020Tracked since

2,919Hours in CS9Hrs last 2 wks

CSDB Rating6.0 SolidAggressive Rifler

FaceitLevel 9 · 1,831 ELOTop 20.7% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median	vs Level 10
Headshot rate	48.8%	52.8%	3.9% short
Shot accuracy	4.5%	13.7%	9.2% short
Kill/death ratio	1.15	1.08	above
Match win rate	42.1%	49.2%	7.1% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim73

Positioning56

Utility70

0–100 skill scores via Leetify.

Recent form

STEADY59–32–9Last 10059%Win rateLWWWWLLLWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

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

Aim7.3

Aggression7.0

Utility7.0

Positioning5.6

Opening Duels2.9

Clutch2.4

Effective 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 Twistzz 92% playstyle similarity

Most alike: positioning profile, utility contribution.

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 →

CSDB Rating breakdown

Aim7.3

Positioning5.6

Utility7.0

Mechanics5.8

Opening Duels2.9

Win Impact7.9

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.02

first ⅓ avg 0.03 → last ⅓ avg 0.05

Reaction time512ms−41ms

first ⅓ avg 553ms → last ⅓ avg 512ms

Headshot accuracy18.0%−2.6%

first ⅓ avg 20.7% → last ⅓ avg 18.0%

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

0.18Best rating — overpass 13–4

13–0Biggest win — nuke

8Longest win streak

9–4In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 74% over 23anubisWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
vertigo	S	23	17–6	74%	0.04
dust2	A	22	13–9	59%	0.02
inferno	A	18	10–8	56%	0.04
nuke	A	14	9–5	64%	0.04
anubis	D	8	2–6	25%	0.01
overpass	C	5	2–3	40%	0.07
ancient	C	5	2–3	40%	0.04
train	—	2	1–1	50%	0.01
office	—	2	2–0	100%	0.09
cache	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

93,515Lifetime kills

1.15K/D · Top 50% of tracked players

4,707Matches

42.1%Match win rate

48.8%Headshot % · Top 50% of tracked players

4.5%Shot accuracy

9,957MVPs

1,887Hours (in match)

5,765Bombs planted

1,355Bombs defused

Most-used weapons

AK-4735,324

M4A4 / M4A1-S18,594

AWP8,055

Glock-184,127

MP94,076

P2000 / USP-S4,064

MAC-102,666

Desert Eagle2,318

Galil AR2,027

XM10141,408

Lifetime map wins

7,127inferno

6,708dust2

4,216vertigo

4,024nuke

906train

349office

112italy

75cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

302Matches

54%Win rate

1.15Avg K/D

85.1ADR

49%Headshot %

Clutches & streaks

32%1v1 clutch win

30%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	55	53%	1.24	17.6
Ancient	51	61%	1.25	18.0
Vertigo	50	58%	1.21	16.1
Mirage	44	55%	1.03	15.2
Anubis	41	56%	1.16	15.8
Nuke	23	57%	1.12	18.9
Dust2	18	44%	1.02	15.9
Overpass	7	14%	0.88	17.1

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.

18.2%Headshot accuracy

36.8%Accuracy (enemy spotted)

38.6%Spray accuracy

76.2%Counter-strafing

11.2°Preaim

519msReaction time

34.7%T opening success

48.5%CT opening success

0.74Enemies flashed / flash

10.8%Flash assists

11.61HE damage / grenade

8.03Flashes / 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 34.6772% — below the 40% mark we flag

Spend your practice time on Anubis

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	3–13	0.08	15%	22 Aug →
overpass	13–4	0.18	17%	22 Aug →
inferno	13–6	0.01	24%	22 Aug →
inferno	13–4	0.14	18%	22 Aug →
inferno	13–8	0.09	17%	20 Aug →
inferno	4–13	0.00	18%	20 Aug →
inferno	1–13	-0.00	19%	20 Aug →
dust2	8–13	-0.06	20%	20 Aug →
inferno	12–7	0.12	20%	16 Aug →
inferno	13–5	0.05	19%	16 Aug →
nuke	13–3	0.08	12%	16 Aug →
dust2	13–1	0.05	17%	16 Aug →
ancient	12–12	0.06	10%	16 Aug →
anubis	4–13	-0.02	20%	16 Aug →
dust2	13–10	0.04	14%	15 Aug →
dust2	13–4	0.04	25%	15 Aug →
inferno	3–13	0.03	22%	15 Aug →
anubis	9–13	0.03	15%	15 Aug →
inferno	13–7	0.05	9%	14 Aug →
vertigo	5–13	0.02	19%	14 Aug →
nuke	9–13	0.02	19%	14 Aug →
nuke	13–9	0.12	17%	13 Aug →
dust2	13–11	0.06	13%	13 Aug →
train	3–13	-0.01	28%	11 Aug →
ancient	5–13	0.07	14%	11 Aug →
dust2	13–8	0.10	18%	11 Aug →
vertigo	7–13	0.02	19%	11 Aug →
vertigo	13–5	0.04	24%	11 Aug →
vertigo	13–5	0.10	22%	11 Aug →
inferno	13–10	-0.03	26%	10 Aug →
vertigo	13–11	0.04	5%	10 Aug →
anubis	6–13	-0.07	21%	9 Aug →
inferno	13–6	0.05	20%	9 Aug →
ancient	5–13	-0.04	17%	9 Aug →
overpass	13–11	0.03	11%	9 Aug →
dust2	13–4	0.02	26%	9 Aug →
dust2	10–13	0.04	15%	9 Aug →
overpass	12–12	0.12	12%	8 Aug →
dust2	13–10	-0.02	14%	8 Aug →
inferno	13–6	0.11	19%	8 Aug →
dust2	9–13	-0.02	15%	8 Aug →
vertigo	13–11	0.01	18%	4 Aug →
vertigo	13–7	0.10	28%	3 Aug →
vertigo	13–2	0.07	34%	3 Aug →
vertigo	10–13	-0.02	13%	3 Aug →
vertigo	13–4	0.11	23%	3 Aug →
vertigo	13–11	0.00	31%	3 Aug →
vertigo	13–3	0.04	12%	3 Aug →
vertigo	13–7	-0.02	16%	3 Aug →
vertigo	13–10	0.05	10%	3 Aug →
vertigo	6–13	-0.04	14%	3 Aug →
vertigo	13–9	0.07	30%	3 Aug →
ancient	13–9	0.08	10%	2 Aug →
dust2	12–12	0.11	16%	2 Aug →
dust2	13–10	-0.07	20%	1 Aug →
anubis	8–13	0.04	19%	1 Aug →
inferno	12–12	-0.00	24%	1 Aug →
dust2	7–13	0.12	12%	1 Aug →
nuke	13–10	0.04	21%	1 Aug →
inferno	12–12	0.04	11%	1 Aug →
dust2	13–11	0.06	12%	31 Jul →
dust2	13–4	0.04	24%	31 Jul →
vertigo	13–11	0.08	16%	31 Jul →
vertigo	11–13	0.08	15%	30 Jul →
vertigo	13–11	0.11	23%	30 Jul →
vertigo	13–3	-0.02	25%	30 Jul →
vertigo	11–13	0.02	17%	30 Jul →
inferno	7–13	0.03	15%	30 Jul →
dust2	13–10	-0.05	4%	30 Jul →
overpass	12–12	0.06	12%	30 Jul →
nuke	13–10	-0.00	16%	29 Jul →
ancient	13–8	0.04	18%	29 Jul →
dust2	11–13	-0.03	13%	29 Jul →
vertigo	13–6	0.00	13%	28 Jul →
nuke	6–13	0.00	10%	28 Jul →
anubis	13–7	0.05	15%	28 Jul →
anubis	11–13	-0.04	21%	28 Jul →
overpass	3–13	-0.05	18%	26 Jul →
inferno	13–3	0.09	28%	26 Jul →
inferno	12–12	0.07	29%	26 Jul →
dust2	4–13	-0.03	32%	26 Jul →
nuke	13–10	-0.02	17%	26 Jul →
nuke	13–8	0.04	16%	26 Jul →
dust2	13–10	-0.01	17%	26 Jul →
office	13–6	0.11	39%	22 Jul →
office	13–5	0.06	31%	22 Jul →
cache	13–9	0.09	29%	21 Jul →
vertigo	13–7	0.09	23%	19 Jul →
nuke	13–11	0.04	19%	19 Jul →
nuke	10–13	0.06	26%	19 Jul →
dust2	9–13	0.03	21%	19 Jul →
dust2	13–8	0.00	23%	19 Jul →
inferno	7–13	-0.04	12%	18 Jul →
nuke	13–4	0.05	36%	18 Jul →
nuke	4–13	0.03	22%	18 Jul →
train	9–4	0.04	26%	18 Jul →
nuke	12–12	0.03	15%	18 Jul →
anubis	13–6	0.04	16%	18 Jul →
dust2	12–12	0.04	22%	18 Jul →
nuke	13–0	0.05	29%	18 Jul →