crazypop2.0 — CS2 Stats

76561199230786488[U:1:1270520760]

1,158Tracked matches38%Win rate2022Tracked since

CSDB Rating4.0 DevelopingPassive Rifler

Ladder ranks via Leetify

Performance scores

Aim61

Positioning27

Utility23

0–100 skill scores via Leetify.

Recent form

COLD38–61–1Last 10038%Win rateLLLWLLWTLL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim6.1

Aggression1.8

Utility2.3

Positioning2.7

Opening Duels0.0

Limited 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 69% playstyle similarity

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

Where you differ: lower positioning 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

Positioning. Positioning trails aim by 34 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.

Reaction time. 672ms 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

Aim6.1

Positioning2.7

Utility2.3

Mechanics8.1

Opening Duels0.0

Win Impact1.0

Composite 4.0/10 (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-0.04−0.05

first ⅓ avg 0.01 → last ⅓ avg -0.04

Reaction time672ms−62ms

first ⅓ avg 734ms → last ⅓ avg 672ms

Headshot accuracy14.0%−0.9%

first ⅓ avg 14.9% → last ⅓ avg 14.0%

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

0.20Best rating — dust2 13–4

13–1Biggest win — mirage

4Longest win streak

L3Current streak

4–9In matches decided by ≤2 rounds

3Overtime games

Map breakdown

nukeBest map · 45% over 22infernoWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	26	11–15	42%	-0.03
nuke	B	22	10–12	45%	-0.01
mirage	D	19	6–13	32%	0.01
inferno	D	11	3–8	27%	-0.05
cache	C	8	3–5	38%	-0.04
vertigo	D	6	2–4	33%	-0.05
overpass	—	3	1–2	33%	0.02
ancient	—	2	0–2	0%	-0.02
anubis	—	2	2–0	100%	-0.00
train	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). 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.

14.3%Headshot accuracy

33.9%Accuracy (enemy spotted)

35.3%Spray accuracy

86.4%Counter-strafing

9.3°Preaim

672msReaction time

24.0%T opening success

25.1%CT opening success

0.56Enemies flashed / flash

0.8%Flash assists

6.32HE damage / grenade

0.94Flashes / 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 14.3425% — 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 0.9366 — 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 23.9845% — 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.

27% win rate across 11 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
nuke	3–13	0.01	12%	21 Jul →
dust2	8–13	-0.09	14%	21 Jul →
nuke	4–13	-0.07	14%	20 Jul →
dust2	13–7	-0.07	10%	14 Jul →
inferno	0–10	-0.08	9%	10 Jul →
cache	3–13	-0.04	10%	8 Jul →
cache	13–9	-0.01	20%	7 Jul →
inferno	12–12	-0.04	16%	7 Jul →
ancient	11–13	0.03	7%	4 Jul →
cache	0–13	-0.05	16%	3 Jul →
nuke	13–10	0.07	16%	2 Jul →
nuke	13–11	-0.04	10%	1 Jul →
mirage	13–8	-0.03	7%	1 Jul →
vertigo	1–13	-0.08	33%	29 Jun →
dust2	13–8	0.01	20%	29 Jun →
mirage	5–13	-0.08	0%	28 Jun →
nuke	8–13	-0.05	23%	28 Jun →
inferno	8–13	-0.03	10%	28 Jun →
dust2	8–13	-0.07	20%	27 Jun →
dust2	6–13	-0.07	27%	27 Jun →
mirage	7–13	-0.06	17%	27 Jun →
mirage	13–8	0.00	10%	26 Jun →
nuke	13–5	-0.02	8%	23 Jun →
cache	9–13	-0.03	20%	22 Jun →
dust2	10–13	-0.06	15%	21 Jun →
inferno	8–13	-0.06	11%	21 Jun →
dust2	13–10	-0.09	8%	20 Jun →
dust2	13–5	-0.04	10%	20 Jun →
mirage	13–11	-0.01	18%	20 Jun →
mirage	10–13	0.00	17%	20 Jun →
vertigo	11–13	-0.10	10%	20 Jun →
nuke	6–13	-0.05	14%	20 Jun →
nuke	13–7	-0.05	9%	18 Jun →
cache	13–6	0.04	8%	18 Jun →
nuke	13–3	0.03	15%	18 Jun →
mirage	13–1	-0.00	21%	17 Jun →
dust2	9–13	-0.02	21%	17 Jun →
inferno	13–4	-0.07	17%	16 Jun →
inferno	10–13	-0.02	10%	16 Jun →
nuke	13–7	0.03	14%	15 Jun →
cache	2–13	-0.15	36%	15 Jun →
train	4–13	-0.05	19%	15 Jun →
anubis	13–7	0.00	7%	15 Jun →
inferno	13–7	-0.07	6%	14 Jun →
cache	13–9	-0.03	11%	14 Jun →
ancient	7–13	-0.06	13%	13 Jun →
mirage	0–2	0.00	0%	12 Jun →
dust2	0–2	-0.08	100%	12 Jun →
vertigo	8–13	0.05	17%	12 Jun →
dust2	13–6	0.04	13%	12 Jun →
dust2	13–7	-0.04	13%	12 Jun →
anubis	13–4	-0.01	11%	12 Jun →
dust2	9–13	-0.10	19%	11 Jun →
vertigo	13–7	-0.04	4%	11 Jun →
mirage	11–13	0.02	19%	10 Jun →
nuke	13–4	-0.04	26%	10 Jun →
nuke	13–4	0.10	19%	9 Jun →
vertigo	9–13	-0.07	15%	8 Jun →
nuke	4–13	-0.06	27%	8 Jun →
inferno	2–13	-0.02	26%	8 Jun →
mirage	3–13	-0.04	17%	8 Jun →
mirage	8–13	0.08	18%	7 Jun →
mirage	5–13	-0.05	10%	7 Jun →
nuke	2–13	-0.13	10%	7 Jun →
inferno	1–13	-0.10	24%	6 Jun →
dust2	11–13	0.04	31%	6 Jun →
nuke	9–13	-0.03	21%	6 Jun →
inferno	13–4	-0.01	23%	6 Jun →
nuke	10–13	-0.05	16%	5 Jun →
dust2	6–13	-0.07	12%	5 Jun →
vertigo	13–11	-0.04	18%	5 Jun →
mirage	10–13	0.06	11%	5 Jun →
dust2	0–13	-0.03	25%	4 Jun →
cache	5–13	-0.04	11%	4 Jun →
nuke	13–5	0.04	10%	3 Jun →
mirage	14–16	-0.04	13%	2 Jun →
nuke	8–13	-0.01	7%	2 Jun →
mirage	4–13	0.04	13%	1 Jun →
dust2	8–13	-0.07	9%	1 Jun →
nuke	10–13	-0.01	10%	31 May →
overpass	7–13	-0.01	17%	31 May →
dust2	13–4	0.20	15%	31 May →
nuke	13–7	0.06	21%	6 Dec →
dust2	2–13	-0.07	9%	4 Dec →
mirage	13–8	0.11	14%	30 Nov →
dust2	13–9	-0.02	9%	29 Nov →
dust2	13–10	0.07	13%	28 Nov →
inferno	7–13	-0.00	14%	16 Nov →
nuke	12–16	-0.03	14%	17 Oct →
overpass	10–13	0.08	20%	16 Oct →
mirage	14–16	0.06	21%	14 Oct →
dust2	9–13	0.01	16%	14 Oct →
mirage	13–2	0.08	8%	13 Oct →
mirage	8–13	0.05	7%	12 Oct →
dust2	11–13	0.01	27%	11 Oct →
overpass	13–9	-0.02	18%	9 Oct →
dust2	13–11	-0.04	19%	9 Oct →
dust2	7–13	-0.06	20%	7 Oct →
nuke	9–13	-0.02	13%	7 Oct →
dust2	13–8	-0.03	20%	6 Oct →