Cutie Patootie — CS2 Stats

IM76561199056394338[U:1:1096128610]Steam profile ↗

1,458Tracked matches40%Win rate2021Tracked since

768Hours in CS

CSDB Rating4.7 DevelopingEntry Fragger

Premier CS Rating3,842Grey band · top ~83.7% of ranked players (population est.)

CSDB Leaderboard#12501 of 16228 tracked

FaceitLevel 1Top 100.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim54

Positioning73

Utility51

0–100 skill scores via Leetify.

Recent form

COLD44–56Last 10044%Win rateLLLWLLWLLL

Last 10 vs previous 10: -30pp win rate · +0.02 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim5.4

Aggression10.0

Utility5.1

Positioning7.3

Opening Duels6.8

Clutch4.6

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 s1mple 87% playstyle similarity

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

Where you differ: 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Reaction time. 616ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim5.4

Positioning7.3

Utility5.1

Mechanics3.4

Opening Duels6.8

Win Impact1.7

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.03

first ⅓ avg 0.03 → last ⅓ avg 0.05

Reaction time614ms−32ms

first ⅓ avg 646ms → last ⅓ avg 614ms

Headshot accuracy12.8%+0.2%

first ⅓ avg 12.6% → last ⅓ avg 12.8%

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

0.19Best rating — mirage 13–5

13–1Biggest win — dust2

6Longest win streak

L3Current streak

5–7In matches decided by ≤2 rounds

7Overtime games

Map breakdown

mirageBest map · 65% over 17infernoWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	31	14–17	45%	0.05
nuke	C	22	9–13	41%	0.05
mirage	S	17	11–6	65%	0.08
ancient	C	15	6–9	40%	0.02
inferno	D	6	1–5	17%	0.01
anubis	D	6	2–4	33%	-0.01
cache	—	2	0–2	0%	-0.00
vertigo	—	1	1–0	100%	0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,820Lifetime kills

1.12K/D · Top 50% of tracked players

2,166Matches

47.0%Match win rate · Top 50% of tracked players

34.1%Headshot %

3.8%Shot accuracy

4,836MVPs

768Hours (in match)

1,053Bombs planted

623Bombs defused

Most-used weapons

AK-477,425

AWP6,493

M4A4 / M4A1-S4,339

SSG 082,764

MP92,638

P2000 / USP-S1,962

Galil AR1,897

Glock-181,802

P901,138

Desert Eagle1,089

Lifetime map wins

9,642dust2

2,775nuke

1,291inferno

597vertigo

134train

15office

4ar_baggage

3ar_shoots

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

Faceit stats

Combat

148Matches

39%Win rate

0.95Avg K/D

78.3ADR

36%Headshot %

Clutches & streaks

43%1v1 clutch win

20%1v2 clutch win

4Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	51	43%	1.01	14.9
Mirage	36	28%	0.96	12.7
Nuke	23	52%	1.12	14.3
Inferno	12	50%	0.79	13.1
Anubis	10	20%	0.77	11.8
Ancient	10	20%	0.64	11.0
Cache	4	75%	1.04	13.5
Train	1	0%	0.88	15.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

12.6%Headshot accuracy

37.4%Accuracy (enemy spotted)

29.6%Spray accuracy

65.4%Counter-strafing

7.7°Preaim

616msReaction time

54.0%T opening success

60.7%CT opening success

0.61Enemies flashed / flash

9.0%Flash assists

6.73HE damage / grenade

5.25Flashes / 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 12.5725% — below the 15% mark we flag
Aim Training →

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.

17% win rate across 6 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
dust2	5–13	0.09	14%	22 Aug →
ancient	11–13	0.02	10%	21 Aug →
dust2	9–13	0.12	17%	11 Aug →
nuke	13–5	0.16	8%	10 Aug →
dust2	8–13	0.03	7%	10 Aug →
mirage	8–13	0.04	15%	10 Aug →
ancient	13–7	0.06	16%	10 Aug →
dust2	6–13	0.05	13%	10 Aug →
ancient	14–16	-0.02	9%	10 Aug →
nuke	10–13	0.03	14%	9 Aug →
inferno	13–8	0.03	16%	9 Aug →
dust2	13–11	0.06	9%	9 Aug →
dust2	6–13	0.09	8%	9 Aug →
nuke	7–3	0.12	17%	9 Aug →
mirage	13–7	0.11	18%	9 Aug →
nuke	5–13	0.06	15%	9 Aug →
ancient	0–13	-0.04	17%	9 Aug →
dust2	0–13	-0.14	0%	9 Aug →
nuke	13–6	0.07	10%	9 Aug →
dust2	11–13	0.05	18%	9 Aug →
inferno	3–13	-0.06	11%	8 Aug →
dust2	13–10	0.05	6%	8 Aug →
ancient	0–3	0.06	13%	8 Aug →
dust2	13–9	0.07	22%	8 Aug →
mirage	9–13	0.12	6%	8 Aug →
mirage	13–7	0.05	20%	7 Aug →
dust2	13–9	0.18	15%	7 Aug →
nuke	6–13	0.05	12%	7 Aug →
dust2	11–13	0.04	14%	7 Aug →
nuke	16–14	0.02	10%	7 Aug →
dust2	9–13	-0.03	9%	7 Aug →
ancient	13–9	0.04	20%	7 Aug →
mirage	13–7	0.16	15%	6 Aug →
mirage	13–8	0.10	14%	6 Aug →
nuke	13–10	0.03	14%	6 Aug →
anubis	6–13	0.09	16%	6 Aug →
dust2	13–4	0.07	22%	6 Aug →
ancient	6–13	-0.06	7%	6 Aug →
dust2	4–13	-0.01	15%	6 Aug →
nuke	4–13	0.02	8%	5 Aug →
dust2	13–7	0.09	14%	5 Aug →
ancient	8–3	0.06	12%	5 Aug →
nuke	13–5	0.04	11%	5 Aug →
ancient	13–10	0.00	10%	5 Aug →
nuke	13–4	0.12	10%	5 Aug →
mirage	13–7	0.06	7%	5 Aug →
nuke	10–13	-0.02	4%	2 Aug →
ancient	4–13	0.05	15%	2 Aug →
nuke	13–10	0.09	5%	2 Aug →
dust2	10–13	0.03	7%	2 Aug →
dust2	13–6	0.05	16%	2 Aug →
mirage	13–2	0.14	19%	2 Aug →
ancient	7–13	0.05	10%	2 Aug →
dust2	14–16	0.14	11%	2 Aug →
nuke	13–10	0.07	12%	2 Aug →
vertigo	7–4	0.00	10%	2 Aug →
dust2	8–13	-0.04	20%	2 Aug →
anubis	13–11	-0.00	21%	1 Aug →
cache	10–13	-0.03	6%	31 Jul →
mirage	13–7	0.05	10%	31 Jul →
nuke	5–13	0.07	15%	31 Jul →
inferno	3–13	-0.02	12%	31 Jul →
anubis	11–13	-0.04	9%	31 Jul →
ancient	13–7	-0.07	11%	31 Jul →
inferno	8–13	-0.00	8%	31 Jul →
dust2	8–13	0.06	17%	31 Jul →
mirage	13–5	0.19	10%	31 Jul →
nuke	2–13	-0.01	19%	30 Jul →
dust2	13–11	0.08	10%	30 Jul →
mirage	12–16	0.00	6%	30 Jul →
ancient	13–4	0.15	10%	30 Jul →
mirage	10–13	0.12	17%	29 Jul →
nuke	4–13	0.09	13%	28 Jul →
mirage	9–13	0.04	7%	27 Jul →
dust2	13–9	-0.00	11%	27 Jul →
mirage	13–10	0.03	17%	27 Jul →
dust2	13–1	0.08	5%	27 Jul →
nuke	10–13	0.02	7%	27 Jul →
anubis	3–13	-0.05	13%	26 Jul →
dust2	9–13	0.01	20%	26 Jul →
dust2	4–13	-0.07	14%	25 Jul →
inferno	5–13	0.11	15%	25 Jul →
dust2	9–13	0.04	16%	25 Jul →
nuke	8–13	0.02	15%	25 Jul →
anubis	2–13	-0.06	14%	24 Jul →
mirage	16–13	0.05	8%	24 Jul →
dust2	13–4	0.07	13%	24 Jul →
ancient	5–13	-0.06	6%	24 Jul →
dust2	13–9	0.10	12%	24 Jul →
mirage	13–6	0.02	18%	24 Jul →
mirage	9–13	0.02	19%	24 Jul →
nuke	11–13	-0.03	13%	24 Jul →
inferno	5–13	-0.01	13%	22 Jul →
ancient	13–16	0.01	11%	22 Jul →
dust2	13–9	0.02	12%	22 Jul →
cache	10–13	0.02	14%	22 Jul →
anubis	13–10	0.01	11%	22 Jul →
nuke	7–13	-0.02	10%	21 Jul →
dust2	16–14	0.09	6%	21 Jul →
nuke	10–13	0.01	22%	21 Jul →

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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