pa1nke🌴 — CS2 Stats

76561197991427821[U:1:31162093]Steam profile ↗✓ No bans

1,819Tracked matches41%Win rate2022Tracked since

CSDB Rating6.1 SolidSupport

Premier CS Rating15,299Purple band · top ~27.2% of ranked players (population est.)

CSDB Leaderboard#144125 of 259680 tracked

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,299 -151 21 Oct – 29 Oct · 5 days played

16,207Peak Premier in tracked matches

26Days played since 2026-09-18

Premier CS Rating

908 below peak (16,207)
Next: Pink band at 20,000 — 4,701 to go
Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim69

Positioning56

Utility76

0–100 skill scores via Leetify.

Recent form

HOT49–42–9Last 10049%Win rateLWWWWWLWWL

Last 10 vs previous 10: +40pp win rate · +0.04 avg rating · −4.3pp headshot accuracy · +50ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating 0.06
Avg headshot accuracy 10%
Avg reaction 600ms

Last 10

7–3 · 70% win rate
Avg rating 0.06
Avg headshot accuracy 14%
Avg reaction 689ms

Last 20

10–8–2 · 50% win rate
Avg rating 0.04
Avg headshot accuracy 17%
Avg reaction 664ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.8 against its own average).

Aim6.9

Utility7.6

Positioning5.6

Opening Duels4.1

Effective flashesHigh utility contribution

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like ZywOo 79% playstyle similarity

Most alike: utility contribution, 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

T openings. 68% T opening-duel success — entries that actually open the round.

Utility. Utility score of 76 — grenade impact well above the norm.

Areas to improve

CT openings. Opening success drops from 68% on T to 48% on CT — first contacts on the defending side are being lost.

Reaction time. 641ms 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

Positioning5.6

Utility7.6

Mechanics6.1

Opening Duels6.9

Win Impact1.9

Composite 6.1/10 (Solid), 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 rating0.03−0.01

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time645ms+44ms

first ⅓ avg 601ms → last ⅓ avg 645ms

Headshot accuracy16.5%+2.0%

first ⅓ avg 14.5% → last ⅓ avg 16.5%

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.

Personal bests

0.16Best match rating · 12–12 · nuke, 24 Oct →

39%Best headshot accuracy · 7–13 · nuke, 24 Oct →

438msFastest reaction time · 7–13 · anubis, 25 Oct →

13–1Biggest win · dust2, 25 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak

4–6In matches decided by ≤2 rounds

1Overtime games

Map breakdown

infernoBest map · 73% over 11mirageWeakest map · 43% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	24	11–13	46%	0.03
mirage	C	14	6–8	43%	0.06
cache	A	11	6–5	55%	0.02
inferno	S	11	8–3	73%	0.04
anubis	A	11	6–5	55%	0.03
nuke	B	11	5–6	45%	0.04
train	B	6	3–3	50%	0.04
vertigo	—	4	2–2	50%	0.02
ancient	—	4	0–4	0%	-0.01
office	—	3	2–1	67%	0.04
fachwerk	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (43% over 14). Start with the 5 essential Mirage 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.

16.2%Headshot accuracy

40.0%Accuracy (enemy spotted)

44.1%Spray accuracy

77.3%Counter-strafing

11.5°Preaim

641msReaction time

67.9%T opening success

47.5%CT opening success

0.71Enemies flashed / flash

16.3%Flash assists

13.07HE damage / grenade

6.42Flashes / match

Recommended for you

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	8–13	0.02	10%	2 Nov →
dust2	13–7	0.12	9%	2 Nov →
train	13–3	-0.02	10%	1 Nov →
inferno	13–7	0.11	16%	1 Nov →
anubis	13–2	0.09	6%	1 Nov →
mirage	13–4	0.01	16%	1 Nov →
fachwerk	11–13	0.02	16%	1 Nov →
dust2	13–5	0.09	28%	1 Nov →
inferno	13–3	0.05	22%	31 Oct →
mirage	6–13	0.12	12%	31 Oct →
mirage	6–13	-0.01	23%	31 Oct →
cache	13–7	0.04	20%	31 Oct →
mirage	11–13	0.04	14%	30 Oct →
anubis	10–13	0.00	12%	30 Oct →
dust2	13–9	0.08	19%	29 Oct →
dust2	9–13	-0.06	13%	29 Oct →
vertigo	12–12	0.08	16%	29 Oct →
dust2	12–12	-0.00	27%	29 Oct →
inferno	13–3	0.01	18%	29 Oct →
mirage	4–13	0.01	26%	29 Oct →
ancient	9–13	-0.01	17%	28 Oct →
anubis	11–13	0.00	20%	28 Oct →
vertigo	5–13	-0.02	9%	28 Oct →
inferno	5–13	0.04	13%	28 Oct →
nuke	13–10	0.07	16%	28 Oct →
dust2	12–12	-0.04	13%	28 Oct →
cache	8–13	-0.02	21%	28 Oct →
train	11–13	0.04	20%	26 Oct →
cache	10–13	-0.01	16%	25 Oct →
anubis	7–13	0.06	9%	25 Oct →
mirage	13–11	0.09	20%	25 Oct →
dust2	13–1	0.08	13%	25 Oct →
nuke	12–12	0.06	27%	25 Oct →
nuke	12–12	0.16	28%	24 Oct →
vertigo	13–9	0.03	31%	24 Oct →
nuke	7–13	-0.02	39%	24 Oct →
train	13–2	-0.00	24%	23 Oct →
dust2	7–13	-0.03	10%	23 Oct →
mirage	13–8	0.04	20%	23 Oct →
anubis	13–3	-0.03	16%	23 Oct →
inferno	15–15	0.01	9%	22 Oct →
anubis	10–13	-0.02	22%	22 Oct →
mirage	13–4	0.08	21%	22 Oct →
inferno	13–5	0.05	24%	22 Oct →
nuke	13–10	-0.05	19%	22 Oct →
dust2	7–13	0.01	14%	22 Oct →
vertigo	13–7	-0.00	30%	22 Oct →
dust2	13–10	0.00	17%	22 Oct →
cache	13–8	-0.02	20%	21 Oct →
mirage	6–13	-0.03	12%	21 Oct →
anubis	13–6	0.03	8%	21 Oct →
ancient	7–13	-0.01	4%	21 Oct →
nuke	13–9	0.05	17%	21 Oct →
mirage	13–9	0.04	9%	21 Oct →
train	11–13	0.16	19%	12 Oct →
nuke	13–11	0.08	13%	12 Oct →
dust2	7–13	-0.01	17%	12 Oct →
cache	13–7	-0.01	15%	12 Oct →
anubis	13–9	0.02	10%	12 Oct →
dust2	13–8	0.02	20%	12 Oct →
inferno	13–4	0.02	16%	12 Oct →
office	13–9	0.03	26%	10 Oct →
cache	10–13	0.08	17%	9 Oct →
train	13–9	0.08	8%	9 Oct →
inferno	13–11	0.04	11%	9 Oct →
dust2	13–4	0.08	14%	9 Oct →
cache	13–5	0.09	17%	8 Oct →
office	13–5	0.06	24%	8 Oct →
dust2	13–6	0.08	16%	8 Oct →
nuke	12–12	-0.01	14%	8 Oct →
dust2	10–13	0.04	18%	8 Oct →
anubis	13–6	0.11	14%	8 Oct →
dust2	7–13	-0.02	15%	4 Oct →
dust2	2–13	-0.01	11%	4 Oct →
mirage	5–13	0.10	24%	4 Oct →
dust2	4–13	-0.05	6%	1 Oct →
mirage	13–10	0.07	11%	1 Oct →
anubis	13–9	-0.02	3%	30 Sept →
dust2	13–9	0.03	15%	30 Sept →
cache	13–9	-0.02	9%	30 Sept →
inferno	13–5	0.07	9%	29 Sept →
anubis	10–13	0.06	11%	27 Sept →
dust2	5–13	0.06	21%	27 Sept →
ancient	4–13	-0.05	8%	27 Sept →
cache	13–7	0.11	3%	27 Sept →
mirage	12–12	0.14	11%	27 Sept →
nuke	7–13	0.01	13%	27 Sept →
inferno	9–13	0.05	16%	27 Sept →
dust2	8–13	0.07	18%	22 Sept →
mirage	12–12	0.11	14%	22 Sept →
nuke	2–13	-0.00	27%	21 Sept →
dust2	13–9	0.02	19%	20 Sept →
office	10–13	0.03	18%	20 Sept →
ancient	6–13	0.03	19%	20 Sept →
cache	10–13	0.00	22%	20 Sept →
inferno	13–11	0.05	16%	19 Sept →
train	7–13	-0.03	10%	19 Sept →
dust2	11–13	0.15	14%	19 Sept →
nuke	13–4	0.11	15%	18 Sept →
dust2	13–5	0.07	15%	18 Sept →