Bum — CS2 Stats

76561198092230866[U:1:131965138]

2,575Tracked matches53%Win rate2020Tracked since

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating21,181Pink band · top ~7.2% of ranked players (population est.)

CSDB Leaderboard#3383 of 8653 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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

Aim78

Positioning60

Utility57

0–100 skill scores via Leetify.

Recent form

HOT51–48–1Last 10051%Win rateWWWLLLWWWW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating

Player DNA

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

Aim7.8

Aggression10.0

Utility5.7

Positioning6.0

Opening Duels4.8

Clutch4.0

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 93% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 65% on CT to 33% 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

Aim7.8

Positioning6.0

Utility5.7

Mechanics7.2

Opening Duels4.8

Win Impact6.1

Composite 6.7/10 (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 time533ms−20ms

first ⅓ avg 554ms → last ⅓ avg 533ms

Headshot accuracy22.9%+2.2%

first ⅓ avg 20.7% → last ⅓ avg 22.9%

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

0.10Best rating — inferno 13–4

13–2Biggest win — nuke

6Longest win streak

W3Current streak

6–6In matches decided by ≤2 rounds

4Overtime games

Map breakdown

infernoBest map · 75% over 16anubisWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	26	16–10	62%	0.00
dust2	C	21	8–13	38%	0.01
inferno	S	16	12–4	75%	0.00
nuke	A	11	6–5	55%	0.01
cache	C	11	4–7	36%	-0.01
ancient	B	8	4–4	50%	-0.01
anubis	D	6	1–5	17%	-0.02
overpass	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

795Matches

52%Win rate

1.12Avg K/D

77.4ADR

47%Headshot %

Clutches & streaks

40%1v1 clutch win

23%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	34	59%	1.04	15.1
Ancient	34	29%	0.89	15.3
Anubis	30	43%	1.09	17.5
Nuke	20	60%	0.95	14.3
Inferno	15	33%	0.96	15.6
Dust2	8	38%	1.09	17.3
Vertigo	2	50%	0.56	9.0
Train	2	50%	0.86	14.0

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.

23.0%Headshot accuracy

33.3%Accuracy (enemy spotted)

33.5%Spray accuracy

82.3%Counter-strafing

9.2°Preaim

538msReaction time

33.5%T opening success

64.9%CT opening success

0.76Enemies flashed / flash

4.3%Flash assists

10.68HE damage / grenade

9.55Flashes / 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 33.48% — 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.

17% win rate across 6 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
nuke	13–2	0.05	20%	27 Aug →
mirage	13–7	-0.05	23%	19 Aug →
inferno	13–8	-0.01	25%	19 Aug →
cache	6–13	-0.02	12%	19 Aug →
dust2	11–13	-0.01	34%	19 Aug →
nuke	9–13	-0.01	17%	18 Aug →
ancient	13–7	0.03	7%	18 Aug →
nuke	13–9	0.06	9%	18 Aug →
cache	13–7	0.05	30%	18 Aug →
mirage	13–11	-0.04	23%	18 Aug →
dust2	13–5	0.05	35%	17 Aug →
anubis	6–13	0.03	19%	17 Aug →
anubis	7–13	-0.03	17%	16 Aug →
nuke	11–13	0.03	23%	16 Aug →
dust2	5–13	-0.11	25%	16 Aug →
cache	11–13	-0.01	18%	15 Aug →
inferno	13–9	0.02	22%	15 Aug →
inferno	13–8	0.06	37%	14 Aug →
dust2	3–13	-0.01	22%	14 Aug →
dust2	2–13	-0.01	36%	14 Aug →
mirage	4–13	-0.07	19%	14 Aug →
mirage	13–7	-0.00	31%	13 Aug →
mirage	13–10	-0.04	19%	13 Aug →
mirage	13–4	0.03	14%	13 Aug →
anubis	5–13	-0.04	33%	13 Aug →
dust2	13–2	0.07	24%	13 Aug →
mirage	7–13	0.03	27%	13 Aug →
cache	9–13	0.02	22%	13 Aug →
mirage	13–9	-0.01	27%	13 Aug →
dust2	13–10	0.03	24%	12 Aug →
inferno	13–11	-0.04	16%	12 Aug →
dust2	7–13	0.01	28%	12 Aug →
mirage	13–7	0.02	20%	12 Aug →
nuke	13–7	0.01	13%	11 Aug →
inferno	13–7	-0.02	24%	8 Aug →
ancient	13–11	-0.03	26%	8 Aug →
mirage	13–9	0.04	39%	8 Aug →
inferno	13–4	0.10	28%	8 Aug →
nuke	6–13	-0.06	25%	8 Aug →
dust2	13–10	-0.01	31%	8 Aug →
cache	13–5	0.01	27%	6 Aug →
dust2	13–6	0.05	16%	6 Aug →
mirage	16–12	-0.02	17%	5 Aug →
nuke	13–8	-0.01	17%	5 Aug →
inferno	13–8	-0.00	21%	5 Aug →
anubis	9–13	-0.07	10%	5 Aug →
mirage	4–13	-0.07	8%	5 Aug →
ancient	3–13	-0.05	26%	5 Aug →
cache	13–9	-0.02	30%	4 Aug →
inferno	10–3	0.05	25%	4 Aug →
anubis	13–11	0.02	26%	3 Aug →
inferno	9–13	-0.05	22%	2 Aug →
mirage	13–8	-0.00	20%	1 Aug →
dust2	13–7	0.06	20%	1 Aug →
mirage	6–13	0.03	26%	1 Aug →
inferno	2–6	0.00	0%	27 Jul →
mirage	8–13	0.05	46%	27 Jul →
cache	11–13	-0.06	12%	26 Jul →
dust2	8–13	-0.03	21%	26 Jul →
nuke	13–10	0.06	29%	26 Jul →
nuke	8–13	0.02	17%	25 Jul →
dust2	10–13	0.06	30%	25 Jul →
cache	15–15	-0.03	11%	25 Jul →
nuke	7–13	-0.06	9%	25 Jul →
mirage	6–13	-0.05	28%	25 Jul →
ancient	16–13	-0.01	18%	14 Jul →
mirage	13–6	-0.03	15%	9 Jul →
mirage	8–13	-0.03	15%	9 Jul →
dust2	9–13	0.05	33%	9 Jul →
ancient	11–13	-0.01	14%	9 Jul →
inferno	13–4	-0.03	30%	9 Jul →
dust2	9–13	-0.01	26%	9 Jul →
anubis	8–13	-0.02	20%	4 Jul →
ancient	6–13	-0.01	24%	29 Jun →
dust2	13–6	-0.01	23%	29 Jun →
mirage	13–8	0.00	23%	29 Jun →
mirage	8–13	-0.01	16%	28 Jun →
dust2	9–13	-0.04	11%	28 Jun →
mirage	13–9	0.03	20%	28 Jun →
ancient	5–13	-0.03	14%	26 Jun →
mirage	13–5	0.10	26%	26 Jun →
overpass	4–13	0.02	15%	8 Jun →
inferno	5–13	-0.05	27%	7 Jun →
dust2	7–13	-0.03	19%	7 Jun →
inferno	13–7	0.05	27%	5 Jun →
mirage	11–13	-0.05	20%	25 May →
inferno	7–13	-0.00	21%	25 May →
inferno	13–9	-0.03	19%	24 May →
dust2	13–7	0.02	17%	23 May →
mirage	13–11	0.04	15%	23 May →
mirage	9–13	0.02	21%	9 May →
dust2	8–13	0.07	15%	9 May →
cache	8–13	-0.02	15%	9 May →
cache	10–13	-0.06	18%	7 May →
cache	13–10	0.02	29%	7 May →
ancient	13–9	0.01	9%	28 Apr →
mirage	13–11	0.07	26%	28 Apr →
nuke	16–13	0.03	18%	19 Apr →
inferno	13–7	0.02	27%	19 Apr →
dust2	3–13	-0.05	29%	2 Apr →