B4ss3 — CS2 Stats

76561197985628304[U:1:25362576]✓ No bans

1,777Tracked matches46%Win rate2020Tracked since

3,954Hours in CS

CSDB Rating6.1 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim84

Positioning53

Utility47

0–100 skill scores via Leetify.

Recent form

COLD49–43–8Last 10049%Win rateWLLWLLWLTL

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

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

Aim8.4

Aggression7.1

Utility4.7

Positioning5.3

Opening Duels2.8

Clutch4.4

Strong CT-side openerLimited utility dependence

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 ropz 91% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success.

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

Positioning. Positioning trails aim by 31 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 51% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 590ms 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

Aim8.4

Positioning5.3

Utility4.7

Mechanics8.0

Opening Duels2.8

Win Impact3.7

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 rating0.01+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time599ms−14ms

first ⅓ avg 614ms → last ⅓ avg 599ms

Headshot accuracy25.2%−0.4%

first ⅓ avg 25.6% → last ⅓ avg 25.2%

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

0.19Best rating — inferno 13–4

13–2Biggest win — dust2

8Longest win streak

7–7In matches decided by ≤2 rounds

4Overtime games

Map breakdown

anubisBest map · 60% over 10mirageWeakest map · 40% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	27	15–12	56%	0.00
mirage	C	15	6–9	40%	-0.01
ancient	B	14	7–7	50%	0.02
inferno	B	13	6–7	46%	0.03
overpass	B	11	5–6	45%	0.05
anubis	A	10	6–4	60%	0.04
nuke	A	7	4–3	57%	0.06
train	—	2	0–2	0%	0.02
vertigo	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

204,744Lifetime kills

1.19K/D · Top 25% of tracked players

8,142Matches

48.3%Match win rate · Top 50% of tracked players

51.2%Headshot % · Top 50% of tracked players

18.4%Shot accuracy · Top 10% of tracked players

26,197MVPs

3,954Hours (in match)

13,014Bombs planted

2,221Bombs defused

Most-used weapons

AK-4774,285

M4A4 / M4A1-S38,863

AWP16,949

P2000 / USP-S13,508

Desert Eagle11,341

Glock-186,433

P2505,775

Knife3,768

FAMAS3,612

AUG2,980

Lifetime map wins

14,446inferno

14,395dust2

6,935nuke

3,144train

1,728cbble

1,481vertigo

607office

227lake

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

Faceit stats

Combat

3,103Matches

50%Win rate

1.17Avg K/D

89.0ADR

50%Headshot %

Clutches & streaks

42%1v1 clutch win

28%1v2 clutch win

11Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	49	55%	1.38	18.2
Dust2	38	53%	1.30	18.8
Ancient	35	54%	1.43	19.6
Nuke	34	47%	1.43	21.3
Mirage	33	52%	1.33	20.4
Anubis	14	36%	1.01	16.2
Train	13	54%	1.35	25.3
Overpass	13	46%	1.27	19.7

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.

23.9%Headshot accuracy

33.8%Accuracy (enemy spotted)

39.6%Spray accuracy

85.8%Counter-strafing

8.2°Preaim

590msReaction time

31.4%T opening success

51.0%CT opening success

0.55Enemies flashed / flash

9.9%Flash assists

13.62HE damage / grenade

3.84Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.836 — below the 4 mark we flag
Grenade Lineups →
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 31.3607% — below the 40% mark we flag

Spend your practice time on Mirage

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

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–6	-0.01	13%	30 Apr →
inferno	10–13	-0.03	11%	29 Mar →
mirage	8–13	0.01	15%	29 Mar →
ancient	13–10	0.06	27%	24 Mar →
inferno	9–13	0.02	27%	23 Mar →
dust2	11–13	0.01	25%	23 Mar →
overpass	7–0	0.07	40%	23 Mar →
mirage	7–13	-0.03	24%	23 Mar →
nuke	12–12	0.03	20%	23 Mar →
mirage	8–13	-0.06	14%	21 Mar →
dust2	8–13	0.01	32%	21 Mar →
ancient	13–9	0.03	30%	19 Mar →
dust2	13–6	0.04	25%	19 Mar →
nuke	13–5	0.02	16%	19 Mar →
inferno	12–12	0.03	33%	19 Mar →
inferno	2–13	-0.13	38%	18 Mar →
overpass	10–13	0.03	33%	18 Mar →
overpass	5–13	-0.06	36%	17 Mar →
anubis	13–10	0.08	25%	17 Mar →
inferno	13–8	0.06	21%	17 Mar →
dust2	10–13	-0.04	18%	17 Mar →
anubis	13–9	0.01	19%	16 Mar →
ancient	13–6	0.08	33%	16 Mar →
mirage	13–7	0.04	22%	16 Mar →
overpass	13–6	0.13	21%	16 Mar →
nuke	12–12	0.01	18%	16 Mar →
dust2	6–13	-0.00	25%	16 Mar →
dust2	12–12	0.02	25%	13 Mar →
dust2	5–13	-0.05	27%	13 Mar →
mirage	9–13	-0.03	19%	12 Mar →
overpass	10–13	0.04	31%	12 Mar →
anubis	11–13	0.11	30%	10 Mar →
dust2	9–13	0.00	36%	10 Mar →
ancient	9–13	-0.00	18%	9 Mar →
dust2	5–13	-0.06	19%	9 Mar →
mirage	13–11	-0.02	17%	8 Mar →
dust2	13–6	-0.04	32%	8 Mar →
dust2	13–4	0.05	23%	8 Mar →
ancient	11–13	0.02	21%	8 Mar →
dust2	13–10	-0.00	19%	7 Mar →
overpass	13–3	0.04	20%	7 Mar →
inferno	13–6	0.07	25%	7 Mar →
mirage	11–13	0.02	25%	7 Mar →
dust2	13–2	0.04	21%	7 Mar →
dust2	8–13	0.05	22%	6 Mar →
dust2	2–0	-0.01	0%	6 Mar →
dust2	0–4	-0.03	0%	6 Mar →
overpass	12–12	0.05	23%	6 Mar →
inferno	13–11	0.04	22%	6 Mar →
nuke	4–13	0.05	19%	6 Mar →
dust2	13–10	0.05	26%	6 Mar →
ancient	13–9	0.08	17%	6 Mar →
inferno	13–4	0.19	30%	6 Mar →
inferno	13–10	-0.02	13%	5 Mar →
overpass	12–12	0.07	26%	5 Mar →
anubis	13–5	0.12	29%	5 Mar →
ancient	13–5	0.04	16%	5 Mar →
ancient	3–13	-0.04	16%	5 Mar →
dust2	13–6	0.07	13%	5 Mar →
inferno	12–12	0.10	25%	5 Mar →
mirage	13–3	0.02	28%	5 Mar →
mirage	13–11	0.02	20%	4 Mar →
anubis	13–4	0.06	21%	4 Mar →
anubis	13–10	0.03	17%	4 Mar →
mirage	13–3	0.03	15%	4 Mar →
nuke	13–4	0.16	27%	4 Mar →
overpass	13–8	0.08	23%	4 Mar →
nuke	13–7	0.09	32%	3 Mar →
anubis	6–13	0.04	23%	3 Mar →
ancient	13–6	0.07	13%	3 Mar →
train	9–13	0.01	27%	2 Mar →
ancient	6–13	0.00	24%	1 Mar →
dust2	14–16	-0.05	26%	1 Mar →
mirage	13–9	0.01	20%	1 Mar →
inferno	3–13	-0.03	24%	28 Feb →
overpass	9–13	0.02	17%	28 Feb →
train	12–12	0.03	51%	28 Feb →
vertigo	11–13	-0.03	14%	28 Feb →
anubis	3–13	-0.05	50%	28 Feb →
ancient	13–9	0.03	13%	28 Feb →
mirage	1–13	-0.02	41%	28 Feb →
ancient	7–13	-0.02	30%	27 Feb →
dust2	13–11	0.01	35%	27 Feb →
dust2	13–5	-0.02	20%	27 Feb →
ancient	6–13	-0.01	23%	26 Feb →
inferno	13–5	0.06	33%	26 Feb →
anubis	16–12	0.05	21%	26 Feb →
dust2	5–13	-0.02	26%	26 Feb →
inferno	7–13	0.01	19%	25 Feb →
dust2	13–8	-0.02	26%	24 Feb →
anubis	14–16	-0.00	18%	23 Feb →
mirage	1–13	-0.10	8%	23 Feb →
dust2	13–11	-0.03	21%	23 Feb →
dust2	13–5	0.03	28%	23 Feb →
ancient	7–13	0.01	31%	23 Feb →
mirage	5–13	-0.06	30%	23 Feb →
overpass	16–12	0.11	32%	22 Feb →
dust2	13–11	0.03	34%	22 Feb →
mirage	8–13	-0.01	16%	22 Feb →
nuke	13–6	0.06	20%	22 Feb →