shbo0m — CS2 Stats

76561199859437629[U:1:1899171901]Steam profile ↗✓ No bans

1,035Tracked matches50%Win rate2025Tracked since

CSDB Rating6.6 SolidAggressive Rifler

FaceitLevel 10 · 1,799 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim93

Positioning59

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY50–50Last 10050%Win rateLLWLLLLWWW

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.

Aim9.3

Aggression7.3

Utility6.1

Positioning5.9

Opening Duels2.0

Clutch3.8

Sharp aimerExcellent counter-strafingStrong CT-side opener

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 96% 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

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 49% on CT to 27% 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

Aim9.3

Positioning5.9

Utility6.1

Mechanics8.9

Opening Duels2.3

Win Impact5.0

Composite 6.6/10 (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 rating0.00−0.03

first ⅓ avg 0.03 → last ⅓ avg 0.00

Reaction time543ms−97ms

first ⅓ avg 640ms → last ⅓ avg 543ms

Headshot accuracy26.4%−6.6%

first ⅓ avg 33.0% → last ⅓ avg 26.4%

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

0.27Best rating — dust2 8–13

13–0Biggest win — mirage

11Longest win streak

L2Current streak

6–3In matches decided by ≤2 rounds

10Overtime games

Map breakdown

mirageBest map · 64% over 39anubisWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	39	25–14	64%	0.02
dust2	C	23	10–13	43%	0.01
ancient	C	13	5–8	38%	0.01
anubis	D	9	3–6	33%	0.00
inferno	C	7	3–4	43%	0.04
nuke	A	7	4–3	57%	-0.02
overpass	—	2	0–2	0%	-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

807Matches

52%Win rate

1.15Avg K/D

74.5ADR

54%Headshot %

Clutches & streaks

39%1v1 clutch win

21%1v2 clutch win

11Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	267	49%	1.10	15.6
Dust2	182	53%	1.21	16.0
Ancient	121	49%	1.16	16.3
Anubis	86	50%	1.10	14.7
Inferno	70	60%	1.17	16.5
Nuke	29	52%	1.11	15.6
Overpass	28	61%	1.05	14.6
Train	15	67%	1.36	16.7

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.

25.8%Headshot accuracy

38.8%Accuracy (enemy spotted)

36.6%Spray accuracy

90.3%Counter-strafing

7.6°Preaim

534msReaction time

27.2%T opening success

48.5%CT opening success

0.64Enemies flashed / flash

10.0%Flash assists

9.19HE damage / grenade

11.21Flashes / 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 27.2292% — 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.

33% win rate across 9 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	9–13	-0.03	30%	25 Aug →
ancient	4–13	0.02	18%	25 Aug →
inferno	16–13	0.07	10%	21 Aug →
dust2	6–13	-0.02	38%	21 Aug →
dust2	9–13	-0.03	57%	18 Aug →
ancient	8–13	0.01	20%	16 Aug →
mirage	6–13	0.03	43%	14 Aug →
mirage	13–2	0.10	26%	13 Aug →
mirage	16–12	0.05	19%	11 Aug →
inferno	13–3	-0.00	14%	11 Aug →
mirage	16–13	-0.02	35%	11 Aug →
mirage	13–0	0.15	43%	7 Aug →
ancient	9–13	0.05	16%	7 Aug →
mirage	2–13	-0.07	18%	1 Aug →
anubis	6–13	-0.06	33%	31 Jul →
inferno	16–13	0.01	16%	31 Jul →
dust2	2–13	-0.11	20%	30 Jul →
nuke	9–13	-0.05	32%	30 Jul →
nuke	13–10	0.08	14%	30 Jul →
mirage	13–1	0.04	33%	30 Jul →
dust2	11–13	-0.03	21%	30 Jul →
ancient	13–9	-0.06	14%	24 Jul →
anubis	13–8	0.10	24%	23 Jul →
mirage	13–8	0.00	22%	23 Jul →
mirage	13–10	0.01	39%	23 Jul →
anubis	10–13	-0.02	26%	23 Jul →
anubis	9–13	-0.05	17%	16 Jul →
mirage	5–13	-0.04	31%	16 Jul →
ancient	13–11	-0.05	26%	16 Jul →
mirage	13–8	0.01	32%	16 Jul →
nuke	16–13	-0.03	39%	14 Jul →
mirage	9–13	-0.03	31%	14 Jul →
mirage	16–13	0.09	15%	10 Jul →
dust2	0–13	-0.09	100%	10 Jul →
inferno	1–9	-0.02	7%	1 Jul →
dust2	13–10	-0.03	19%	1 Jul →
mirage	6–13	0.01	19%	28 Jun →
dust2	7–13	-0.01	19%	28 Jun →
ancient	16–14	-0.01	14%	12 Jun →
mirage	9–13	-0.03	29%	12 Jun →
mirage	0–13	-0.04	0%	5 Jun →
ancient	8–13	0.05	26%	5 Jun →
mirage	6–13	-0.07	23%	1 Jun →
mirage	13–5	0.02	25%	27 May →
mirage	13–8	0.01	24%	27 May →
mirage	13–6	0.01	24%	26 May →
nuke	13–11	-0.03	31%	24 May →
ancient	13–11	0.02	31%	22 May →
dust2	3–13	-0.05	17%	22 May →
mirage	6–1	-0.02	33%	22 May →
ancient	2–13	-0.04	38%	17 May →
inferno	8–13	0.06	26%	17 May →
mirage	13–7	-0.02	27%	16 May →
mirage	13–10	-0.06	29%	16 May →
anubis	14–16	-0.01	22%	15 May →
inferno	6–13	0.01	33%	15 May →
dust2	7–13	-0.02	41%	15 May →
mirage	1–13	-0.05	31%	15 May →
mirage	2–7	0.02	30%	11 May →
ancient	8–13	0.00	18%	11 May →
ancient	4–13	-0.00	18%	10 May →
mirage	13–4	0.10	38%	10 May →
dust2	11–13	-0.03	36%	9 May →
anubis	7–13	-0.04	23%	9 May →
mirage	7–3	0.01	32%	8 May →
mirage	4–13	-0.01	33%	8 May →
inferno	9–13	0.12	57%	8 May →
mirage	13–3	0.12	29%	8 May →
mirage	13–2	0.13	33%	8 May →
dust2	13–8	0.12	42%	6 May →
mirage	13–11	0.02	28%	4 May →
nuke	9–3	0.11	30%	3 May →
dust2	13–9	-0.04	36%	1 May →
mirage	2–6	-0.04	40%	1 May →
nuke	2–9	-0.16	29%	1 May →
mirage	16–12	0.03	40%	26 Apr →
dust2	19–15	0.03	29%	23 Apr →
dust2	13–5	0.12	29%	23 Apr →
anubis	13–7	0.06	23%	22 Apr →
dust2	13–1	0.09	47%	22 Apr →
anubis	13–0	0.09	30%	17 Apr →
ancient	13–6	0.10	31%	16 Apr →
mirage	13–4	0.11	23%	16 Apr →
dust2	13–7	0.08	36%	16 Apr →
mirage	13–6	0.01	28%	13 Apr →
mirage	13–11	-0.03	33%	13 Apr →
dust2	10–13	0.00	31%	12 Apr →
overpass	2–13	-0.07	40%	12 Apr →
dust2	13–10	0.02	35%	11 Apr →
mirage	13–1	0.16	41%	11 Apr →
dust2	13–3	0.04	36%	11 Apr →
ancient	6–13	-0.02	27%	11 Apr →
mirage	6–13	-0.06	35%	11 Apr →
dust2	8–13	0.27	53%	10 Apr →
nuke	1–13	-0.05	31%	10 Apr →
overpass	2–13	-0.05	38%	10 Apr →
dust2	3–13	-0.07	10%	10 Apr →
dust2	13–5	-0.04	23%	10 Apr →
dust2	6–13	0.00	47%	10 Apr →
mirage	8–13	0.00	26%	9 Apr →