P-Kone — CS2 Stats

76561198259039848[U:1:298774120]Steam profile ↗✓ No bans

3,686Tracked matches56%Win rate2020Tracked since

CSDB Rating7.4 StrongSupport

Premier CS Rating27,841Top 5% of 204,793 CSDB-tracked playersRed band · top ~1.6% of ranked players (population est.)

CSDB Leaderboard#2832 of 252070 tracked

FaceitLevel 10 · 2,685 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (yesterday). 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: 27,841 +2,842 1 Sept – 14 Oct · 8 days played

Faceit ELO: 2,685 +0 1 Sept – 20 Sept · 3 observations

27,841Peak Premier in tracked matches

2,685Highest Faceit ELO seen on CSDB

25Days played since 2026-09-01

Faceit ELO

At peak — 2,685
Next: 3,000 ELO at 3,000 — 315 to go
Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
2,500 ELO first seen 2026-09-01
Level 10 first seen 2026-09-01

Premier CS Rating

At peak — 27,841
+2,390 over 30 days · improving
Next: Gold band at 30,000 — 2,159 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-09-20
Pink band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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Performance scores

Aim89

Positioning58

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY43–53–4Last 10043%Win rateWLWWWWTLLL

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −4.9pp headshot accuracy · +7ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating 0.00
Avg headshot accuracy 21%
Avg reaction 573ms

Last 10

5–4–1 · 50% win rate
Avg rating -0.01
Avg headshot accuracy 18%
Avg reaction 507ms

Last 20

8–10–2 · 40% win rate
Avg rating -0.00
Avg headshot accuracy 20%
Avg reaction 504ms

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 (+1.5 against its own average).

Aim8.9

Utility6.0

Positioning5.8

Opening Duels3.2

Clutch3.0

Sharp aimerStrong 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.

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 94% playstyle similarity

Most alike: aim profile, opening-duel success.

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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

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

Aim8.9

Positioning5.8

Utility6.0

Mechanics7.2

Opening Duels5.8

Win Impact6.9

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.02

first ⅓ avg -0.02 → last ⅓ avg 0.00

Reaction time508ms−25ms

first ⅓ avg 533ms → last ⅓ avg 508ms

Headshot accuracy24.4%+3.2%

first ⅓ avg 21.2% → last ⅓ avg 24.4%

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.

Personal bests

0.14Best match rating · 4–0 · boulder, 10 Oct →

100%Best headshot accuracy · 0–13 · dust2, 3 Oct →

266msFastest reaction time · 4–0 · boulder, 10 Oct →

13–1Biggest win · dust2, 14 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak

2–6In matches decided by ≤2 rounds

2Overtime games

Map breakdown

cacheBest map · 70% over 10vertigoWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	21	7–14	33%	-0.02
inferno	A	14	8–6	57%	-0.01
anubis	D	10	2–8	20%	-0.00
cache	S	10	7–3	70%	0.01
ancient	C	8	3–5	38%	-0.03
vertigo	D	7	1–6	14%	-0.01
nuke	D	7	2–5	29%	-0.01
overpass	A	5	3–2	60%	-0.00
train	—	4	1–3	25%	-0.00
shelter	—	3	3–0	100%	0.02
mirage	—	3	1–2	33%	-0.01
office	—	2	1–1	50%	-0.01
fachwerk	—	2	1–1	50%	0.01
boulder	—	2	2–0	100%	0.08
italy	—	2	1–1	50%	-0.02

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

734Matches

56%Win rate

1.06Avg K/D

76.2ADR

48%Headshot %

Clutches & streaks

35%1v1 clutch win

17%1v2 clutch win

14Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	74	61%	1.05	15.5
Ancient	66	58%	1.02	14.9
Inferno	58	59%	1.05	15.0
Anubis	55	58%	0.99	15.5
Cache	44	64%	1.04	14.7
Mirage	25	48%	1.14	14.8
Vertigo	15	53%	1.16	16.1
Overpass	10	60%	1.23	15.7

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.

22.1%Headshot accuracy

37.4%Accuracy (enemy spotted)

40.4%Spray accuracy

82.3%Counter-strafing

8.2°Preaim

499msReaction time

52.8%T opening success

53.9%CT opening success

0.63Enemies flashed / flash

9.8%Flash assists

7.47HE damage / grenade

11.48Flashes / match

Recommended for you

Spend your practice time on Vertigo

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–6	0.03	13%	14 Oct →
inferno	10–13	-0.02	26%	14 Oct →
dust2	13–1	0.01	25%	14 Oct →
inferno	16–13	-0.02	24%	13 Oct →
inferno	13–1	0.03	18%	13 Oct →
ancient	13–9	0.01	15%	12 Oct →
anubis	12–12	-0.03	13%	12 Oct →
dust2	8–13	-0.01	12%	12 Oct →
office	10–13	-0.00	15%	12 Oct →
vertigo	6–13	-0.06	16%	12 Oct →
overpass	13–5	-0.00	12%	11 Oct →
vertigo	11–13	0.01	30%	11 Oct →
inferno	9–13	-0.03	17%	11 Oct →
anubis	8–13	0.05	36%	11 Oct →
cache	12–12	0.01	23%	11 Oct →
ancient	13–11	-0.04	27%	11 Oct →
train	11–13	-0.01	25%	11 Oct →
nuke	7–13	0.03	12%	11 Oct →
fachwerk	7–13	0.00	25%	10 Oct →
cache	13–10	0.01	19%	10 Oct →
shelter	13–5	0.04	35%	10 Oct →
dust2	13–6	-0.00	32%	10 Oct →
overpass	13–7	0.04	20%	10 Oct →
nuke	12–12	-0.01	20%	10 Oct →
cache	13–7	0.07	29%	10 Oct →
vertigo	8–13	-0.05	32%	10 Oct →
boulder	4–0	0.14	17%	10 Oct →
anubis	7–13	0.01	19%	10 Oct →
inferno	13–10	-0.02	22%	10 Oct →
train	8–5	-0.03	33%	10 Oct →
office	13–6	-0.01	25%	10 Oct →
vertigo	10–13	-0.01	17%	3 Oct →
dust2	0–13	-0.04	100%	3 Oct →
dust2	8–13	-0.04	7%	3 Oct →
anubis	13–5	0.02	23%	2 Oct →
train	9–13	0.02	20%	2 Oct →
cache	13–7	0.06	15%	2 Oct →
overpass	5–13	-0.01	17%	2 Oct →
nuke	7–13	0.03	18%	2 Oct →
inferno	6–2	-0.02	28%	28 Sept →
overpass	13–7	0.02	26%	28 Sept →
vertigo	13–7	0.05	26%	28 Sept →
dust2	6–13	-0.03	24%	28 Sept →
shelter	13–8	0.00	45%	28 Sept →
cache	8–13	-0.04	18%	28 Sept →
mirage	2–13	-0.06	32%	28 Sept →
anubis	13–5	-0.03	9%	28 Sept →
dust2	7–13	-0.04	18%	28 Sept →
inferno	13–9	-0.01	35%	28 Sept →
nuke	10–13	-0.03	22%	27 Sept →
dust2	13–8	0.04	35%	27 Sept →
vertigo	2–13	-0.06	12%	26 Sept →
dust2	5–13	0.07	25%	26 Sept →
mirage	2–13	0.04	30%	26 Sept →
cache	13–5	0.03	14%	26 Sept →
dust2	13–5	0.01	22%	26 Sept →
nuke	13–6	-0.04	20%	26 Sept →
anubis	4–13	0.02	20%	25 Sept →
vertigo	3–13	0.07	35%	25 Sept →
ancient	10–13	-0.01	26%	24 Sept →
inferno	10–13	-0.11	23%	24 Sept →
ancient	4–13	-0.09	15%	24 Sept →
cache	16–14	-0.02	14%	24 Sept →
dust2	7–13	-0.05	23%	23 Sept →
anubis	11–13	-0.02	19%	23 Sept →
cache	3–13	-0.00	12%	23 Sept →
inferno	12–12	0.04	23%	23 Sept →
dust2	3–13	-0.04	21%	23 Sept →
dust2	7–13	-0.08	36%	20 Sept →
anubis	3–13	0.01	10%	20 Sept →
shelter	13–6	0.02	36%	19 Sept →
inferno	13–7	-0.02	16%	19 Sept →
cache	13–5	-0.01	26%	19 Sept →
boulder	13–4	0.02	18%	13 Sept →
train	4–13	0.01	26%	13 Sept →
mirage	7–0	-0.03	8%	13 Sept →
italy	13–5	0.01	23%	13 Sept →
nuke	11–13	-0.03	33%	13 Sept →
ancient	3–13	-0.01	19%	12 Sept →
dust2	7–13	0.10	25%	12 Sept →
nuke	13–4	-0.00	18%	11 Sept →
anubis	2–13	-0.06	7%	11 Sept →
inferno	13–10	0.01	16%	11 Sept →
italy	6–13	-0.04	10%	11 Sept →
dust2	6–13	-0.03	33%	11 Sept →
cache	13–3	-0.00	10%	11 Sept →
inferno	10–13	-0.01	19%	11 Sept →
dust2	11–13	-0.05	23%	11 Sept →
ancient	1–13	-0.03	23%	10 Sept →
anubis	8–13	-0.03	18%	10 Sept →
dust2	11–13	-0.05	17%	10 Sept →
dust2	13–9	0.04	33%	7 Sept →
inferno	13–9	0.01	23%	7 Sept →
overpass	9–13	-0.07	50%	6 Sept →
dust2	2–13	-0.06	18%	6 Sept →
fachwerk	13–9	0.01	23%	6 Sept →
inferno	6–13	-0.03	20%	5 Sept →
dust2	13–8	-0.02	15%	3 Sept →
dust2	9–3	-0.10	20%	2 Sept →
ancient	9–13	-0.08	9%	1 Sept →