Dr. Grabbadiah von Bowl — CS2 Stats

US76561198131188301[U:1:170922573]Steam profile ↗✓ No bans

1,032Tracked matches52%Win rate2021Tracked since

CSDB Rating4.6 Developing

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim58

Positioning34

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY45–46–9Last 10045%Win rateWLWLWWLLWL

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

Aim5.8

Aggression2.9

Utility6.4

Positioning3.4

Opening Duels0.0

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 80% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.8

Positioning3.4

Utility6.4

Mechanics4.4

Opening Duels0.0

Win Impact5.6

Composite 4.6/10 (Developing), 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 rating-0.04−0.01

first ⅓ avg -0.03 → last ⅓ avg -0.04

Reaction time536ms−45ms

first ⅓ avg 580ms → last ⅓ avg 536ms

Headshot accuracy11.7%−0.3%

first ⅓ avg 12.0% → last ⅓ avg 11.7%

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

0.11Best rating — ancient 13–1

13–1Biggest win — ancient

6Longest win streak

5–3In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 88% over 8cacheWeakest map · 24% over 17

Map	Grade	Played	Record	Win rate	Avg rating
office	B	19	10–9	53%	-0.03
inferno	C	17	6–11	35%	-0.04
cache	D	17	4–13	24%	-0.05
ancient	S	15	10–5	67%	-0.01
nuke	C	14	5–9	36%	-0.03
anubis	S	8	7–1	88%	-0.03
overpass	—	3	0–3	0%	-0.03
mirage	—	2	1–1	50%	-0.04
train	—	2	0–2	0%	-0.07
shelter	—	2	1–1	50%	-0.07
dust2	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Skill profile

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

12.2%Headshot accuracy

32.3%Accuracy (enemy spotted)

37.5%Spray accuracy

69.9%Counter-strafing

9.2°Preaim

535msReaction time

21.4%T opening success

29.5%CT opening success

0.66Enemies flashed / flash

11.3%Flash assists

10.61HE damage / grenade

5.06Flashes / 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 12.2429% — below the 15% mark we flag
Aim Training →
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 21.3764% — below the 40% mark we flag

Spend your practice time on Cache

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

24% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–10	-0.02	10%	29 Aug →
nuke	3–13	-0.04	6%	23 Aug →
inferno	13–5	-0.07	5%	23 Aug →
nuke	5–13	-0.06	15%	22 Aug →
ancient	13–5	-0.03	7%	22 Aug →
inferno	13–3	-0.02	9%	22 Aug →
cache	10–13	-0.09	19%	22 Aug →
office	2–13	-0.06	10%	18 Aug →
ancient	13–4	-0.07	13%	18 Aug →
mirage	9–13	-0.03	14%	17 Aug →
train	12–12	-0.06	16%	16 Aug →
office	13–3	0.01	5%	15 Aug →
nuke	3–3	-0.09	0%	15 Aug →
ancient	13–7	0.01	19%	12 Aug →
nuke	13–9	0.04	6%	12 Aug →
cache	5–13	-0.11	9%	12 Aug →
inferno	13–5	-0.02	9%	12 Aug →
nuke	10–13	-0.08	25%	10 Aug →
inferno	10–13	-0.06	4%	10 Aug →
office	7–13	-0.09	21%	8 Aug →
office	9–13	-0.06	12%	8 Aug →
office	13–6	-0.07	12%	8 Aug →
office	13–11	0.00	13%	8 Aug →
office	13–3	-0.02	10%	8 Aug →
office	13–7	-0.03	7%	8 Aug →
office	7–13	0.02	14%	6 Aug →
nuke	6–13	-0.10	9%	4 Aug →
ancient	8–1	-0.03	0%	4 Aug →
office	5–13	-0.06	22%	4 Aug →
cache	7–13	0.04	23%	4 Aug →
overpass	8–13	-0.02	11%	31 Jul →
anubis	13–6	-0.06	15%	31 Jul →
ancient	8–13	0.05	15%	31 Jul →
shelter	6–13	-0.09	14%	26 Jul →
ancient	12–12	-0.06	19%	26 Jul →
train	5–13	-0.07	18%	26 Jul →
nuke	13–5	0.00	7%	24 Jul →
anubis	12–12	-0.06	17%	24 Jul →
dust2	13–10	0.08	13%	21 Jul →
ancient	5–13	-0.01	13%	21 Jul →
ancient	13–1	0.03	7%	20 Jul →
inferno	12–12	-0.04	12%	20 Jul →
cache	11–13	-0.09	17%	18 Jul →
ancient	13–7	-0.04	19%	18 Jul →
nuke	12–12	-0.05	13%	16 Jul →
anubis	13–4	-0.07	9%	16 Jul →
inferno	8–13	-0.03	12%	15 Jul →
office	13–2	0.01	18%	15 Jul →
cache	7–13	-0.07	4%	15 Jul →
nuke	13–10	-0.01	8%	14 Jul →
office	6–13	-0.08	21%	14 Jul →
cache	5–13	-0.08	8%	10 Jul →
shelter	13–9	-0.04	23%	10 Jul →
cache	13–10	-0.00	13%	8 Jul →
cache	13–5	-0.02	5%	6 Jul →
office	13–8	-0.00	15%	6 Jul →
inferno	2–13	-0.08	11%	2 Jul →
ancient	13–9	-0.04	22%	2 Jul →
inferno	11–13	0.00	12%	24 Jun →
cache	10–13	-0.07	5%	24 Jun →
nuke	8–13	-0.04	24%	24 Jun →
cache	13–11	-0.09	11%	22 Jun →
mirage	13–4	-0.06	33%	20 Jun →
office	13–9	0.05	17%	20 Jun →
anubis	13–6	-0.04	9%	20 Jun →
ancient	13–6	0.03	17%	20 Jun →
inferno	13–10	-0.01	8%	20 Jun →
cache	9–13	-0.06	21%	20 Jun →
nuke	9–13	-0.07	2%	20 Jun →
inferno	13–10	-0.07	8%	16 Jun →
office	13–6	-0.09	19%	14 Jun →
inferno	8–13	-0.06	8%	14 Jun →
cache	13–2	-0.01	17%	14 Jun →
inferno	9–13	-0.01	11%	12 Jun →
ancient	13–1	0.11	12%	12 Jun →
office	13–9	0.01	16%	10 Jun →
inferno	13–5	0.02	7%	10 Jun →
cache	12–12	-0.04	7%	9 Jun →
overpass	2–13	-0.04	6%	23 May →
anubis	13–8	-0.03	17%	23 May →
office	11–13	0.03	12%	23 May →
nuke	13–4	0.05	9%	23 May →
inferno	12–12	-0.08	12%	23 May →
ancient	6–13	-0.01	11%	23 May →
nuke	6–13	0.08	15%	20 May →
anubis	13–11	-0.01	18%	20 May →
ancient	0–4	-0.07	18%	20 May →
office	8–13	-0.05	13%	20 May →
inferno	10–13	-0.10	3%	20 May →
cache	12–12	0.06	22%	19 May →
cache	12–12	-0.01	7%	19 May →
nuke	10–13	-0.05	8%	19 May →
inferno	4–13	-0.03	18%	19 May →
anubis	13–8	0.04	16%	17 May →
office	4–13	-0.10	0%	17 May →
cache	7–13	-0.04	7%	17 May →
inferno	4–13	-0.06	17%	16 May →
cache	4–13	-0.10	0%	15 May →
ancient	13–11	-0.03	14%	13 May →
overpass	0–13	-0.05	23%	13 May →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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