CHICKEN PATTY DADDY — CS2 Stats

76561198177345666[U:1:217079938]Steam profile ↗

1,842Tracked matches36%Win rate2020Tracked since

CSDB Rating5.4 DevelopingHybrid Rifler

Premier CS Rating17,740Purple band · top ~17.5% of ranked players (population est.)

CSDB Leaderboard#18276 of 35587 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim69

Positioning57

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY43–48–9Last 10043%Win rateTWLWLLLLWW

Last 10 vs previous 10: -20pp win rate · -0.04 avg rating

Player DNA

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

Aim6.9

Aggression8.8

Utility4.2

Positioning5.7

Opening Duels4.5

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 ropz 88% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: higher 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. 602ms 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

Aim6.9

Positioning5.7

Utility4.2

Mechanics7.5

Opening Duels4.5

Win Impact0.2

Composite 5.4/10 (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 rating0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg 0.00

Reaction time613ms−53ms

first ⅓ avg 665ms → last ⅓ avg 613ms

Headshot accuracy20.4%+1.4%

first ⅓ avg 19.0% → last ⅓ avg 20.4%

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

0.13Best rating — poseidon 9–7

13–1Biggest win — inferno

5Longest win streak

6–8In matches decided by ≤2 rounds

11Overtime games

Map breakdown

cacheBest map · 58% over 12trainWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	21	10–11	48%	0.02
ancient	B	16	8–8	50%	-0.01
nuke	C	14	5–9	36%	-0.01
cache	A	12	7–5	58%	0.01
anubis	D	10	3–7	30%	-0.02
overpass	B	8	4–4	50%	0.02
train	D	6	1–5	17%	-0.01
vertigo	D	5	1–4	20%	0.01
dust2	—	4	0–4	0%	-0.00
shelter	—	1	1–0	100%	0.08
poseidon	—	1	1–0	100%	0.13
mirage	—	1	1–0	100%	-0.01
alpine	—	1	1–0	100%	-0.03

Across the last 100 tracked matches.

Faceit stats

Combat

2Matches

50%Win rate

0.94Avg K/D

—ADR

44%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	1	0%	0.87	20.0
Mirage	1	100%	1.00	13.0

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.

21.0%Headshot accuracy

33.3%Accuracy (enemy spotted)

34.3%Spray accuracy

83.6%Counter-strafing

10.4°Preaim

602msReaction time

42.3%T opening success

53.7%CT opening success

0.43Enemies flashed / flash

2.1%Flash assists

11.17HE damage / grenade

3.59Flashes / 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.

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 0.4339 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Train

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.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	15–15	-0.03	25%	29 Aug →
ancient	13–5	-0.03	17%	29 Aug →
cache	6–13	-0.06	23%	29 Aug →
ancient	13–9	0.01	19%	26 Aug →
nuke	6–13	-0.08	21%	26 Aug →
cache	2–11	0.02	11%	26 Aug →
ancient	12–16	0.00	25%	20 Aug →
anubis	6–13	0.03	16%	20 Aug →
inferno	13–11	0.06	30%	20 Aug →
inferno	13–9	0.05	23%	20 Aug →
inferno	13–7	0.13	24%	18 Aug →
inferno	11–13	-0.03	23%	17 Aug →
shelter	13–5	0.08	20%	17 Aug →
cache	13–4	0.06	27%	17 Aug →
anubis	11–13	-0.04	13%	16 Aug →
nuke	16–14	0.04	25%	16 Aug →
cache	16–12	0.02	20%	16 Aug →
cache	13–16	-0.02	16%	16 Aug →
inferno	13–4	0.13	37%	15 Aug →
ancient	8–13	-0.01	23%	15 Aug →
ancient	15–15	-0.02	25%	12 Aug →
nuke	11–13	-0.03	13%	12 Aug →
overpass	6–13	0.03	14%	11 Aug →
cache	4–13	0.06	21%	11 Aug →
nuke	2–13	-0.07	26%	10 Aug →
inferno	5–13	-0.11	13%	10 Aug →
train	1–13	-0.08	15%	10 Aug →
inferno	8–13	-0.00	21%	9 Aug →
nuke	10–13	-0.04	19%	9 Aug →
dust2	5–13	-0.00	20%	9 Aug →
ancient	16–12	0.06	16%	9 Aug →
cache	13–4	0.01	25%	9 Aug →
nuke	13–3	-0.04	9%	9 Aug →
inferno	10–13	0.06	25%	9 Aug →
cache	15–15	-0.04	12%	8 Aug →
anubis	13–11	0.01	21%	8 Aug →
nuke	6–13	-0.04	17%	8 Aug →
ancient	2–13	-0.10	16%	8 Aug →
inferno	13–11	0.02	15%	8 Aug →
ancient	5–13	-0.10	16%	8 Aug →
inferno	13–5	0.06	14%	7 Aug →
nuke	6–13	-0.04	29%	7 Aug →
anubis	11–13	-0.05	18%	5 Aug →
ancient	13–4	0.06	19%	5 Aug →
train	11–13	-0.03	22%	2 Jul →
overpass	6–13	0.00	23%	1 Jul →
anubis	4–13	-0.07	14%	30 Jun →
inferno	14–16	0.04	10%	30 Jun →
inferno	2–13	-0.02	23%	30 Jun →
nuke	11–13	0.09	21%	30 Jun →
anubis	13–8	0.01	14%	30 Jun →
vertigo	12–12	0.00	18%	30 Jun →
ancient	7–13	-0.05	17%	29 Jun →
overpass	13–4	0.07	25%	29 Jun →
inferno	6–13	-0.06	23%	29 Jun →
overpass	13–7	0.00	9%	28 Jun →
dust2	10–13	0.03	21%	28 Jun →
nuke	13–4	0.10	24%	28 Jun →
inferno	13–1	0.07	24%	28 Jun →
anubis	5–13	-0.05	17%	28 Jun →
nuke	7–13	-0.03	18%	28 Jun →
inferno	13–8	0.03	18%	28 Jun →
poseidon	9–7	0.13	25%	28 Jun →
inferno	8–8	0.03	10%	28 Jun →
ancient	13–8	-0.00	19%	28 Jun →
train	10–13	0.04	25%	28 Jun →
overpass	13–3	0.10	13%	27 Jun →
anubis	11–13	-0.09	26%	27 Jun →
vertigo	9–13	-0.01	16%	27 Jun →
cache	13–11	0.01	19%	27 Jun →
nuke	13–4	0.07	12%	26 Jun →
ancient	15–15	0.01	17%	26 Jun →
nuke	10–13	-0.01	19%	26 Jun →
train	13–9	0.03	23%	26 Jun →
overpass	15–15	-0.04	22%	25 Jun →
inferno	13–10	-0.00	22%	25 Jun →
ancient	13–7	0.03	32%	24 Jun →
vertigo	13–4	0.11	26%	24 Jun →
anubis	9–2	0.04	20%	24 Jun →
nuke	3–0	-0.04	0%	24 Jun →
train	12–12	0.07	21%	24 Jun →
mirage	13–10	-0.01	21%	22 Jun →
dust2	8–13	-0.03	15%	22 Jun →
dust2	7–13	0.00	25%	22 Jun →
ancient	13–8	0.02	20%	18 Jun →
vertigo	3–13	0.03	16%	18 Jun →
inferno	8–13	0.06	24%	18 Jun →
ancient	12–12	-0.01	19%	10 Jun →
train	6–13	-0.10	17%	10 Jun →
overpass	10–13	-0.01	16%	7 Jun →
cache	13–9	0.04	16%	7 Jun →
anubis	9–13	0.02	18%	7 Jun →
ancient	13–9	-0.00	17%	7 Jun →
overpass	13–5	0.01	11%	7 Jun →
cache	13–7	0.02	23%	7 Jun →
vertigo	10–13	-0.08	19%	6 Jun →
inferno	10–13	0.00	23%	6 Jun →
inferno	13–8	-0.01	23%	6 Jun →
alpine	13–7	-0.03	13%	6 Jun →
cache	12–9	-0.02	16%	6 Jun →