Doc.Goodikins — CS2 Stats

76561198965807669[U:1:1005541941]Steam profile ↗✓ No bans

1,457Tracked matches34%Win rate2023Tracked since

CSDB Rating3.2 Learning

Ladder ranks via Leetify

Performance scores

Aim47

Positioning40

Utility6

0–100 skill scores via Leetify.

Recent form

COLD39–56–5Last 10039%Win rateWLTWLLLLLW

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

Player DNA

Aim4.7

Aggression1.1

Utility0.6

Positioning4.0

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 60% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

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 43% on CT to 14% 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

Aim4.7

Positioning4.0

Utility0.6

Mechanics4.8

Opening Duels1.6

Win Impact0.0

Composite 3.2/10 (Learning), 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-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time608ms+13ms

first ⅓ avg 595ms → last ⅓ avg 608ms

Headshot accuracy14.5%+3.6%

first ⅓ avg 11.0% → last ⅓ avg 14.5%

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

0.16Best rating — italy 7–1

13–0Biggest win — ancient

4Longest win streak

6–11In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 46% over 13shelterWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
cache	D	14	3–11	21%	-0.03
vertigo	B	13	6–7	46%	0.02
ancient	B	13	6–7	46%	-0.01
office	C	10	4–6	40%	-0.02
nuke	D	9	3–6	33%	-0.03
shelter	D	7	1–6	14%	-0.01
train	D	7	2–5	29%	-0.03
fachwerk	—	4	2–2	50%	-0.01
boulder	—	4	2–2	50%	-0.02
anubis	—	4	3–1	75%	0.01
warden	—	4	2–2	50%	-0.01
italy	—	3	3–0	100%	0.05
overpass	—	3	1–2	33%	-0.05
inferno	—	2	1–1	50%	0.02
dust2	—	2	0–2	0%	-0.08
stronghold	—	1	0–1	0%	-0.04

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.

13.1%Headshot accuracy

32.9%Accuracy (enemy spotted)

35.9%Spray accuracy

71.5%Counter-strafing

11.4°Preaim

600msReaction time

14.0%T opening success

42.9%CT opening success

0.08Enemies flashed / flash

7.8%Flash assists

2.14HE damage / grenade

0.19Flashes / 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 13.0918% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.0776 — below the 0.5 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 13.9892% — 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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
italy	13–7	-0.06	18%	24 Aug →
office	11–13	-0.04	19%	24 Aug →
vertigo	12–12	0.08	18%	14 Aug →
cache	13–10	-0.10	16%	14 Aug →
vertigo	7–13	-0.05	16%	10 Aug →
nuke	2–13	-0.05	11%	10 Aug →
ancient	8–13	-0.03	5%	9 Aug →
shelter	10–13	-0.07	13%	9 Aug →
nuke	11–13	-0.02	24%	7 Aug →
inferno	13–4	0.08	13%	7 Aug →
train	6–13	-0.02	17%	6 Aug →
fachwerk	13–7	0.02	10%	6 Aug →
vertigo	9–13	0.03	7%	6 Aug →
nuke	13–9	-0.06	5%	6 Aug →
office	13–4	0.05	13%	6 Aug →
shelter	10–13	-0.05	5%	6 Aug →
train	2–13	-0.08	14%	4 Aug →
cache	5–13	-0.06	13%	4 Aug →
ancient	1–13	-0.04	14%	3 Aug →
vertigo	8–13	-0.02	6%	3 Aug →
boulder	1–13	-0.03	11%	2 Aug →
shelter	8–13	0.02	16%	1 Aug →
boulder	2–0	0.08	50%	1 Aug →
fachwerk	13–9	0.04	13%	1 Aug →
fachwerk	2–13	-0.08	20%	31 Jul →
train	13–9	0.01	14%	30 Jul →
overpass	1–13	-0.06	6%	28 Jul →
vertigo	9–4	-0.01	8%	28 Jul →
ancient	10–13	-0.03	14%	28 Jul →
train	0–6	-0.16	17%	28 Jul →
office	12–12	0.04	15%	23 Jul →
nuke	7–13	-0.08	29%	23 Jul →
vertigo	13–8	0.12	11%	22 Jul →
cache	3–13	-0.01	4%	22 Jul →
cache	11–13	-0.05	5%	20 Jul →
boulder	3–13	-0.08	6%	20 Jul →
nuke	13–7	-0.03	8%	20 Jul →
cache	0–9	-0.07	50%	19 Jul →
ancient	11–13	-0.08	8%	19 Jul →
shelter	13–8	0.01	19%	17 Jul →
shelter	11–13	-0.01	15%	17 Jul →
nuke	6–13	-0.01	14%	15 Jul →
nuke	11–13	-0.02	13%	13 Jul →
dust2	1–13	-0.10	8%	13 Jul →
ancient	0–2	-0.03	0%	13 Jul →
train	1–8	0.02	11%	13 Jul →
shelter	6–13	0.05	14%	12 Jul →
ancient	13–0	0.03	14%	12 Jul →
vertigo	7–13	-0.08	2%	12 Jul →
nuke	10–13	-0.02	10%	12 Jul →
cache	5–13	-0.02	21%	12 Jul →
shelter	8–13	-0.02	12%	9 Jul →
office	10–13	-0.09	2%	9 Jul →
fachwerk	7–13	-0.03	8%	9 Jul →
boulder	13–11	-0.06	11%	8 Jul →
anubis	7–13	0.02	6%	8 Jul →
italy	13–9	0.06	15%	8 Jul →
overpass	3–13	-0.04	13%	8 Jul →
warden	11–13	-0.05	4%	8 Jul →
vertigo	13–9	0.01	27%	7 Jul →
cache	13–6	0.02	22%	7 Jul →
anubis	13–4	0.09	15%	6 Jul →
vertigo	9–13	0.02	12%	6 Jul →
stronghold	4–13	-0.04	9%	6 Jul →
office	10–13	-0.01	11%	6 Jul →
cache	11–13	0.04	17%	5 Jul →
ancient	13–1	-0.01	18%	5 Jul →
train	6–13	-0.04	5%	4 Jul →
anubis	13–7	-0.03	6%	4 Jul →
office	13–6	0.02	8%	3 Jul →
cache	9–13	-0.04	11%	1 Jul →
cache	9–13	-0.06	8%	29 Jun →
ancient	13–5	0.03	10%	29 Jun →
ancient	13–5	-0.00	9%	26 Jun →
vertigo	13–11	-0.03	12%	26 Jun →
vertigo	8–13	-0.01	17%	26 Jun →
ancient	8–13	-0.00	18%	26 Jun →
office	12–12	0.04	7%	26 Jun →
cache	12–12	-0.02	13%	25 Jun →
office	13–8	-0.11	15%	24 Jun →
office	13–7	-0.07	10%	24 Jun →
nuke	13–9	0.03	14%	24 Jun →
dust2	7–13	-0.06	13%	22 Jun →
inferno	12–12	-0.03	24%	22 Jun →
ancient	13–11	-0.02	11%	22 Jun →
anubis	13–10	-0.05	5%	18 Jun →
train	13–11	0.07	12%	18 Jun →
cache	1–13	-0.10	0%	17 Jun →
warden	13–1	0.12	9%	17 Jun →
italy	7–1	0.16	6%	17 Jun →
vertigo	13–9	0.12	12%	17 Jun →
overpass	13–9	-0.05	12%	16 Jun →
ancient	6–13	-0.03	6%	16 Jun →
warden	6–4	-0.03	8%	16 Jun →
cache	13–9	0.01	13%	16 Jun →
office	11–13	-0.06	13%	15 Jun →
ancient	13–8	0.11	16%	15 Jun →
warden	2–13	-0.10	5%	15 Jun →
cache	11–13	0.02	15%	15 Jun →
vertigo	13–2	0.04	16%	15 Jun →