b0bLikE — CS2 Stats

76561197974376312[U:1:14110584]Steam profile ↗✓ No bans

2,015Tracked matches60%Win rate2020Tracked since

CSDB Rating5.4 DevelopingHybrid Rifler

Premier CS Rating13,273Blue band · top ~37.5% of ranked players (population est.)

CSDB Leaderboard#12871 of 18788 tracked

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Rating over time

13,273Peak Premier on CSDB

1Days observed since 2026-08-28

Premier CS Rating

At peak — 13,273
Next: Purple band at 15,000 — 1,727 to go
Reached: Blue band · Light Blue band
Blue band first seen 2026-08-28
Light Blue band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim72

Positioning46

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY55–43–2Last 10055%Win rateLWWWLLLWWW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.2

Aggression5.0

Utility5.5

Positioning4.6

Opening Duels1.4

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 NiKo 90% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; 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

Areas to improve

T-side openings. Opening success drops from 47% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 600ms 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

Aim7.2

Positioning4.6

Utility5.5

Mechanics5.1

Opening Duels2.1

Win Impact8.3

Composite 5.4/10 (Developing), 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 rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time608ms−65ms

first ⅓ avg 673ms → last ⅓ avg 608ms

Headshot accuracy15.2%−3.6%

first ⅓ avg 18.7% → last ⅓ avg 15.2%

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

0.13Best rating — mirage 13–3

13–0Biggest win — inferno

7Longest win streak

3–6In matches decided by ≤2 rounds

6Overtime games

Map breakdown

cacheBest map · 75% over 8infernoWeakest map · 44% over 18

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	31	18–13	58%	0.01
inferno	C	18	8–10	44%	0.01
ancient	B	15	8–7	53%	0.03
mirage	A	13	8–5	62%	0.01
nuke	B	12	6–6	50%	-0.00
cache	S	8	6–2	75%	-0.01
anubis	—	3	1–2	33%	-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.8%Headshot accuracy

37.9%Accuracy (enemy spotted)

42.9%Spray accuracy

73.1%Counter-strafing

8.7°Preaim

600msReaction time

24.2%T opening success

47.0%CT opening success

0.68Enemies flashed / flash

6.1%Flash assists

8.87HE damage / grenade

3.34Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.8373% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.3405 — 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 24.2424% — below the 40% mark we flag

Spend your practice time on Inferno

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

44% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	10–13	-0.03	17%	25 Aug →
mirage	16–13	-0.01	10%	25 Aug →
nuke	13–8	-0.01	17%	23 Aug →
dust2	13–8	0.06	24%	23 Aug →
dust2	5–13	-0.02	11%	23 Aug →
mirage	6–13	-0.07	23%	21 Aug →
nuke	9–13	-0.05	8%	21 Aug →
cache	13–6	0.02	12%	21 Aug →
dust2	13–11	0.00	14%	21 Aug →
dust2	13–7	0.10	11%	21 Aug →
cache	9–13	0.01	12%	20 Aug →
dust2	12–2	-0.02	17%	20 Aug →
nuke	9–13	-0.04	6%	20 Aug →
cache	13–6	-0.02	11%	20 Aug →
mirage	13–3	0.13	18%	20 Aug →
dust2	0–6	0.00	33%	20 Aug →
inferno	9–13	0.08	11%	18 Aug →
ancient	13–2	0.04	14%	18 Aug →
inferno	13–10	0.05	19%	18 Aug →
mirage	13–1	0.02	17%	18 Aug →
ancient	7–13	0.02	24%	17 Aug →
dust2	13–2	-0.01	15%	17 Aug →
mirage	7–13	0.05	22%	17 Aug →
cache	13–5	-0.05	13%	17 Aug →
inferno	13–9	0.04	21%	16 Aug →
ancient	16–14	0.07	13%	16 Aug →
dust2	13–6	-0.00	16%	16 Aug →
nuke	6–13	-0.04	5%	16 Aug →
mirage	16–14	0.01	15%	16 Aug →
ancient	10–13	0.02	12%	16 Aug →
cache	5–1	-0.00	0%	16 Aug →
dust2	11–13	0.01	21%	16 Aug →
inferno	5–13	-0.01	18%	15 Aug →
inferno	13–4	-0.01	21%	15 Aug →
ancient	13–6	-0.01	14%	15 Aug →
inferno	10–13	-0.02	11%	15 Aug →
inferno	7–13	-0.02	24%	15 Aug →
inferno	13–3	0.07	32%	15 Aug →
mirage	13–8	-0.00	24%	13 Aug →
inferno	13–0	0.00	14%	13 Aug →
dust2	13–7	0.04	15%	13 Aug →
nuke	13–7	-0.01	13%	11 Aug →
ancient	13–3	0.04	16%	11 Aug →
anubis	13–4	-0.01	14%	11 Aug →
dust2	11–13	0.04	26%	10 Aug →
inferno	13–9	-0.00	22%	10 Aug →
ancient	15–15	-0.02	10%	9 Aug →
dust2	8–13	-0.08	9%	9 Aug →
dust2	7–13	-0.01	13%	9 Aug →
dust2	13–6	0.06	15%	9 Aug →
inferno	13–5	0.04	30%	9 Aug →
dust2	13–5	0.04	21%	9 Aug →
dust2	7–13	-0.03	30%	9 Aug →
dust2	13–6	-0.02	14%	9 Aug →
ancient	13–4	0.06	16%	9 Aug →
dust2	13–10	0.03	19%	9 Aug →
mirage	3–13	-0.04	15%	7 Aug →
nuke	13–8	0.05	14%	7 Aug →
ancient	11–13	0.07	15%	7 Aug →
nuke	13–9	0.01	21%	7 Aug →
ancient	13–9	0.09	13%	7 Aug →
dust2	7–13	-0.02	27%	7 Aug →
ancient	13–7	0.04	12%	5 Aug →
mirage	13–10	0.01	15%	5 Aug →
dust2	15–15	-0.03	18%	5 Aug →
mirage	9–13	0.01	6%	4 Aug →
nuke	7–13	0.01	10%	4 Aug →
ancient	10–13	-0.03	15%	4 Aug →
anubis	6–13	-0.06	23%	3 Aug →
dust2	13–7	0.00	15%	3 Aug →
dust2	13–10	0.02	22%	3 Aug →
inferno	8–13	0.04	16%	3 Aug →
ancient	11–13	-0.03	15%	2 Aug →
inferno	9–13	0.04	29%	2 Aug →
nuke	13–9	0.03	22%	2 Aug →
anubis	6–13	-0.05	8%	31 Jul →
cache	13–3	-0.05	12%	31 Jul →
mirage	6–13	-0.08	21%	31 Jul →
dust2	13–5	0.03	18%	31 Jul →
inferno	13–8	-0.01	10%	31 Jul →
ancient	9–13	-0.01	12%	29 Jul →
ancient	13–6	0.04	26%	29 Jul →
dust2	13–8	0.06	28%	29 Jul →
nuke	7–13	0.03	16%	29 Jul →
inferno	11–13	-0.05	22%	27 Jul →
inferno	9–13	0.01	28%	27 Jul →
dust2	9–13	-0.02	24%	27 Jul →
dust2	10–13	-0.01	28%	26 Jul →
inferno	4–13	0.00	8%	26 Jul →
dust2	13–5	0.06	18%	26 Jul →
mirage	16–13	0.03	22%	26 Jul →
dust2	13–6	0.02	20%	26 Jul →
dust2	6–13	-0.05	28%	26 Jul →
cache	6–13	-0.01	20%	26 Jul →
cache	13–10	0.02	10%	25 Jul →
mirage	13–3	0.01	18%	25 Jul →
dust2	11–13	0.04	14%	25 Jul →
nuke	13–9	0.09	21%	25 Jul →
dust2	13–9	-0.00	21%	25 Jul →
nuke	3–13	-0.09	11%	25 Jul →