YummyPancakes47 — CS2 Stats

76561198353276343[U:1:393010615]

597Tracked matches43%Win rate2020Tracked since

CSDB Rating7.7 StrongEntry Fragger

Premier CS Rating17,528Purple band · top ~18.3% of ranked players (population est.)

CSDB Leaderboard#10633 of 19100 tracked

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim94

Positioning82

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY52–43–5Last 10052%Win rateWLLWLWLLWL

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

Player DNA

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

Aim9.4

Aggression10.0

Utility5.7

Positioning8.2

Opening Duels7.7

Clutch0.0

Sharp aimerExcellent counter-strafingStrong CT-side opener

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 95% playstyle similarity

Most alike: opening-fight frequency, 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

Aim. Aim score of 94 — the mechanical foundation is a clear strength.

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

CT openings. 69% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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 69% on CT to 53% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 583ms 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

Aim9.4

Positioning8.2

Utility5.7

Mechanics9.0

Opening Duels7.7

Win Impact2.8

Composite 7.7/10 (Strong), 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 rating0.06+0.02

first ⅓ avg 0.04 → last ⅓ avg 0.06

Reaction time589ms−35ms

first ⅓ avg 624ms → last ⅓ avg 589ms

Headshot accuracy24.0%−3.8%

first ⅓ avg 27.8% → last ⅓ avg 24.0%

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

0.28Best rating — overpass 12–8

13–0Biggest win — cache

6Longest win streak

4–9In matches decided by ≤2 rounds

3Overtime games

Map breakdown

overpassBest map · 88% over 8anubisWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	17	9–8	53%	0.05
inferno	C	13	5–8	38%	0.05
train	B	12	6–6	50%	0.06
vertigo	C	11	4–7	36%	0.03
ancient	A	10	6–4	60%	0.04
nuke	S	9	7–2	78%	0.09
overpass	S	8	7–1	88%	0.12
anubis	D	6	1–5	17%	0.05
dust2	B	6	3–3	50%	0.07
mirage	D	6	2–4	33%	0.02
eldorado	—	1	1–0	100%	0.02
fachwerk	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

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

Faceit stats

Combat

43Matches

47%Win rate

1.31Avg K/D

79.8ADR

53%Headshot %

Clutches & streaks

17%1v1 clutch win

33%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	4	75%	2.12	17.3
Ancient	3	67%	1.22	18.0
Mirage	3	67%	1.55	13.0
Nuke	2	100%	1.50	19.5
Dust2	2	50%	1.82	19.0
Cache	2	0%	0.73	10.5
Anubis	1	0%	1.45	29.0
Vertigo	1	100%	2.29	16.0

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.

23.0%Headshot accuracy

46.3%Accuracy (enemy spotted)

44.1%Spray accuracy

90.3%Counter-strafing

9.4°Preaim

583msReaction time

53.1%T opening success

68.8%CT opening success

0.56Enemies flashed / flash

9.4%Flash assists

6.10HE damage / grenade

8.63Flashes / match

Recommended for you

Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
overpass	13–1	0.20	29%	28 Aug →
inferno	6–13	0.04	27%	28 Aug →
anubis	13–16	0.04	21%	27 Aug →
dust2	13–9	0.11	21%	26 Aug →
anubis	6–13	-0.05	15%	25 Aug →
nuke	13–10	0.11	21%	25 Aug →
inferno	5–13	0.04	18%	25 Aug →
inferno	11–13	0.10	29%	24 Aug →
cache	13–4	0.04	28%	23 Aug →
inferno	7–13	-0.02	24%	23 Aug →
ancient	13–6	0.05	13%	23 Aug →
ancient	5–13	-0.04	29%	23 Aug →
anubis	10–13	0.08	14%	23 Aug →
cache	13–0	0.07	34%	23 Aug →
vertigo	13–3	0.02	21%	23 Aug →
vertigo	13–8	0.10	32%	22 Aug →
cache	5–13	0.10	29%	22 Aug →
inferno	9–13	0.11	30%	22 Aug →
train	13–3	0.20	24%	22 Aug →
cache	6–13	0.12	35%	22 Aug →
cache	16–14	0.07	24%	22 Aug →
vertigo	7–13	0.03	13%	22 Aug →
ancient	4–13	-0.00	16%	22 Aug →
cache	7–13	0.04	30%	22 Aug →
train	6–13	0.09	28%	22 Aug →
nuke	13–3	0.08	12%	22 Aug →
cache	13–6	-0.01	29%	21 Aug →
ancient	8–13	0.07	13%	21 Aug →
mirage	11–13	-0.00	19%	20 Aug →
train	13–5	0.14	18%	20 Aug →
ancient	9–13	0.05	31%	19 Aug →
cache	13–8	-0.01	39%	19 Aug →
cache	11–13	0.02	29%	18 Aug →
cache	6–10	0.05	16%	18 Aug →
train	11–13	0.05	28%	18 Aug →
overpass	12–8	0.28	45%	18 Aug →
inferno	13–7	0.06	33%	17 Aug →
anubis	4–13	-0.03	26%	17 Aug →
overpass	13–8	0.20	38%	17 Aug →
inferno	11–13	0.14	17%	17 Aug →
nuke	12–12	0.18	27%	16 Aug →
overpass	10–13	0.07	13%	16 Aug →
anubis	13–3	0.22	18%	16 Aug →
inferno	6–13	0.12	21%	16 Aug →
inferno	13–8	-0.04	21%	16 Aug →
overpass	13–9	-0.02	44%	15 Aug →
ancient	13–7	0.05	58%	15 Aug →
train	4–13	-0.02	23%	15 Aug →
train	13–2	0.02	19%	14 Aug →
vertigo	12–12	0.01	28%	14 Aug →
cache	1–13	-0.06	33%	14 Aug →
train	13–0	0.06	28%	14 Aug →
vertigo	8–13	0.02	22%	13 Aug →
train	13–5	0.03	20%	13 Aug →
vertigo	12–12	0.06	19%	13 Aug →
cache	11–13	0.12	24%	13 Aug →
mirage	14–16	0.03	29%	12 Aug →
ancient	13–10	0.11	31%	12 Aug →
train	12–12	0.14	24%	12 Aug →
overpass	13–4	0.14	29%	12 Aug →
nuke	13–9	0.02	13%	11 Aug →
dust2	0–13	-0.02	19%	10 Aug →
ancient	13–9	0.16	21%	10 Aug →
dust2	13–3	0.05	13%	9 Aug →
nuke	13–5	0.13	33%	9 Aug →
nuke	12–12	0.12	29%	9 Aug →
overpass	13–8	0.03	20%	8 Aug →
train	11–13	-0.01	30%	8 Aug →
vertigo	13–3	0.01	21%	8 Aug →
cache	13–9	0.08	30%	7 Aug →
cache	13–9	0.08	19%	7 Aug →
ancient	13–9	0.01	39%	7 Aug →
cache	11–2	0.11	33%	7 Aug →
inferno	13–10	0.05	30%	5 Aug →
anubis	10–13	0.06	41%	4 Aug →
vertigo	13–7	0.07	27%	3 Aug →
vertigo	9–13	0.02	30%	3 Aug →
eldorado	9–7	0.02	41%	3 Aug →
cache	5–13	0.02	39%	3 Aug →
fachwerk	13–10	0.06	19%	3 Aug →
train	13–11	0.04	28%	2 Aug →
ancient	13–11	-0.01	29%	2 Aug →
cache	13–8	0.07	31%	31 Jul →
nuke	13–7	0.09	37%	31 Jul →
inferno	4–13	-0.06	21%	31 Jul →
nuke	13–8	-0.02	18%	30 Jul →
inferno	13–8	0.07	18%	29 Jul →
nuke	13–9	0.09	32%	29 Jul →
mirage	1–13	-0.03	16%	29 Jul →
mirage	13–7	0.17	25%	28 Jul →
vertigo	3–13	-0.03	34%	28 Jul →
mirage	9–13	-0.01	24%	28 Jul →
vertigo	6–13	0.03	22%	28 Jul →
dust2	8–13	0.10	27%	28 Jul →
dust2	11–13	0.08	22%	27 Jul →
mirage	13–6	-0.02	19%	27 Jul →
train	7–13	-0.04	28%	27 Jul →
dust2	13–8	0.07	27%	27 Jul →
overpass	13–3	0.08	22%	27 Jul →
inferno	13–4	0.07	35%	25 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

500 MatchesAim 90+

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

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