Timid CreamPIE ¯\_(ツ)_/¯ — CS2 Stats

76561198969131792[U:1:1008866064]

217Tracked matches38%Win rate2024Tracked since

404Hours in CS31Hrs last 2 wks

CSDB Rating1.3 Learning

Ladder ranks via Leetify

Performance scores

Aim11

Positioning28

Utility21

0–100 skill scores via Leetify.

Recent form

STEADY38–51–11Last 10038%Win rateWLWLWLLWLL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Aim1.1

Aggression0.4

Utility2.1

Positioning2.8

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 56% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; 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

Reaction time. 685ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 51% 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

Aim1.1

Positioning2.8

Utility2.1

Mechanics0.2

Opening Duels0.0

Win Impact1.0

Composite 1.3/10 (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-0.05−0.01

first ⅓ avg -0.05 → last ⅓ avg -0.05

Reaction time685ms−51ms

first ⅓ avg 735ms → last ⅓ avg 685ms

Headshot accuracy11.7%−1.3%

first ⅓ avg 12.9% → 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

0.12Best rating — cache 4–0

13–1Biggest win — nuke

3Longest win streak

5–7In matches decided by ≤2 rounds

1Overtime games

Map breakdown

nukeBest map · 56% over 18infernoWeakest map · 0% over 10

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	18	10–8	56%	-0.06
vertigo	C	13	5–8	38%	-0.05
dust2	B	13	6–7	46%	-0.07
cache	D	10	3–7	30%	-0.04
mirage	C	10	4–6	40%	-0.02
inferno	D	10	0–10	0%	-0.08
train	A	9	5–4	56%	-0.03
anubis	D	5	1–4	20%	-0.07
ancient	C	5	2–3	40%	-0.04
shelter	—	3	0–3	0%	-0.03
overpass	—	2	0–2	0%	-0.06
office	—	2	2–0	100%	-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

2,434Lifetime kills

0.47K/D

447Matches

27.7%Match win rate

38.7%Headshot %

1.3%Shot accuracy

215MVPs

235Hours (in match)

343Bombs planted

46Bombs defused

Most-used weapons

AK-47621

M4A4 / M4A1-S618

MP7281

Tec-9155

P2000 / USP-S146

Galil AR104

AWP88

PP-Bizon87

MAC-1074

FAMAS62

Lifetime map wins

416nuke

372dust2

314inferno

293vertigo

160train

38office

17cbble

8assault

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

Skill profile

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

11.7%Headshot accuracy

33.3%Accuracy (enemy spotted)

32.7%Spray accuracy

50.9%Counter-strafing

16.5°Preaim

685msReaction time

19.7%T opening success

12.5%CT opening success

0.26Enemies flashed / flash

4.4%Flash assists

10.65HE damage / grenade

0.95Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 16.5434° — above the 12° mark we flag
Aim Training →
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 11.7333% — 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 0.2555 — below the 0.5 mark we flag
Grenade Lineups →

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.

0% win rate across 10 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
vertigo	13–11	-0.07	13%	28 Aug →
anubis	11–13	-0.04	18%	28 Aug →
cache	13–10	-0.04	17%	28 Aug →
anubis	9–13	-0.09	8%	25 Aug →
mirage	13–5	-0.00	8%	25 Aug →
vertigo	5–13	-0.06	7%	25 Aug →
inferno	2–13	-0.06	4%	25 Aug →
cache	11–7	-0.03	13%	25 Aug →
shelter	7–13	0.00	9%	22 Aug →
nuke	6–13	-0.05	10%	22 Aug →
mirage	9–13	-0.00	11%	22 Aug →
overpass	6–13	-0.06	11%	22 Aug →
nuke	2–13	-0.11	4%	22 Aug →
nuke	5–13	-0.05	15%	19 Aug →
inferno	9–13	-0.10	0%	19 Aug →
mirage	9–13	-0.06	11%	19 Aug →
train	13–11	-0.03	15%	19 Aug →
nuke	13–10	-0.11	10%	17 Aug →
vertigo	11–13	-0.07	18%	17 Aug →
train	13–7	-0.05	8%	17 Aug →
mirage	13–8	-0.04	9%	17 Aug →
dust2	12–12	-0.07	11%	17 Aug →
cache	7–13	-0.07	6%	17 Aug →
ancient	13–8	0.00	17%	17 Aug →
mirage	13–9	-0.02	16%	16 Aug →
anubis	9–13	-0.12	11%	16 Aug →
inferno	4–13	-0.12	19%	16 Aug →
nuke	10–13	-0.04	10%	16 Aug →
nuke	9–7	-0.10	15%	16 Aug →
office	13–3	-0.07	8%	16 Aug →
dust2	11–13	-0.09	27%	16 Aug →
nuke	13–1	-0.01	18%	16 Aug →
mirage	4–13	0.00	10%	16 Aug →
nuke	13–3	0.04	16%	16 Aug →
overpass	7–13	-0.07	13%	15 Aug →
train	13–10	0.01	22%	15 Aug →
train	13–2	-0.03	15%	15 Aug →
train	1–13	-0.09	11%	15 Aug →
cache	7–13	-0.08	7%	12 Aug →
ancient	6–13	-0.09	11%	12 Aug →
nuke	1–13	-0.13	6%	12 Aug →
dust2	12–12	-0.07	14%	12 Aug →
train	1–13	-0.06	8%	12 Aug →
train	2–13	-0.01	25%	10 Aug →
ancient	12–12	-0.06	6%	10 Aug →
nuke	13–4	0.02	17%	10 Aug →
dust2	13–10	-0.03	20%	10 Aug →
vertigo	4–13	-0.10	4%	10 Aug →
nuke	13–11	-0.08	6%	9 Aug →
inferno	12–12	-0.06	9%	8 Aug →
shelter	11–13	-0.04	5%	8 Aug →
mirage	11–13	-0.03	10%	8 Aug →
dust2	7–13	-0.09	20%	8 Aug →
nuke	13–7	-0.09	17%	7 Aug →
shelter	9–13	-0.06	10%	7 Aug →
office	13–10	-0.08	9%	7 Aug →
dust2	13–10	-0.09	18%	7 Aug →
vertigo	13–11	-0.01	13%	7 Aug →
inferno	7–13	-0.10	10%	7 Aug →
mirage	15–15	-0.05	9%	7 Aug →
ancient	4–13	-0.05	9%	6 Aug →
train	9–13	0.02	19%	6 Aug →
anubis	12–12	-0.07	14%	6 Aug →
vertigo	11–13	-0.06	13%	3 Aug →
cache	7–13	-0.04	9%	3 Aug →
inferno	9–13	-0.08	16%	3 Aug →
mirage	12–12	0.00	14%	2 Aug →
nuke	13–5	-0.05	11%	2 Aug →
nuke	12–12	-0.05	14%	2 Aug →
mirage	13–3	0.01	15%	2 Aug →
inferno	3–13	-0.01	23%	2 Aug →
vertigo	3–13	-0.10	13%	2 Aug →
anubis	13–9	-0.03	10%	2 Aug →
ancient	13–8	-0.03	6%	2 Aug →
dust2	12–12	-0.07	11%	2 Aug →
vertigo	5–13	-0.07	6%	2 Aug →
cache	2–13	-0.05	12%	2 Aug →
cache	10–13	-0.02	16%	2 Aug →
cache	3–13	-0.12	7%	2 Aug →
dust2	12–12	-0.03	19%	2 Aug →
train	13–8	-0.01	8%	2 Aug →
nuke	13–5	-0.04	10%	2 Aug →
cache	11–13	-0.10	10%	1 Aug →
vertigo	13–4	-0.02	8%	1 Aug →
nuke	13–2	-0.04	13%	1 Aug →
inferno	6–13	-0.12	8%	1 Aug →
dust2	13–8	-0.11	4%	1 Aug →
dust2	13–10	-0.10	4%	1 Aug →
nuke	7–13	-0.08	25%	31 Jul →
inferno	1–13	-0.03	9%	31 Jul →
inferno	2–13	-0.10	25%	30 Jul →
dust2	13–5	0.02	11%	30 Jul →
cache	4–0	0.12	42%	30 Jul →
vertigo	12–12	-0.02	12%	30 Jul →
vertigo	13–4	0.00	14%	30 Jul →
nuke	4–13	-0.05	19%	30 Jul →
dust2	8–13	-0.09	13%	29 Jul →
vertigo	9–13	-0.03	14%	29 Jul →
vertigo	13–7	-0.03	10%	29 Jul →
dust2	13–5	-0.03	6%	29 Jul →