Pk0 — CS2 Stats

76561198829737000[U:1:869471272]

6,189Tracked matches55%Win rate2020Tracked since

6,154Hours in CS

CSDB Rating7.1 StrongAggressive Rifler

Premier CS Rating25,000Top 25% of 29,473 CSDB-tracked playersRed band · top ~3% of ranked players (population est.)

CSDB Leaderboard#6100 of 50743 tracked

FaceitLevel 10 · 2,525 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=4,917), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	53.8%	51.9%
Shot accuracy	5.6%	13.7%
Kill/death ratio	1.06	1.08
Match win rate	48.8%	48.7%

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Performance scores

Aim80

Positioning54

Utility88

0–100 skill scores via Leetify.

Recent form

STEADY59–40–1Last 10059%Win rateWLLWWLLWLL

Last 10 vs previous 10: -30pp win rate · -0.00 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.0

Aggression7.0

Utility8.8

Positioning5.4

Opening Duels3.1

Clutch3.8

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.

Your pro match

Plays most like Twistzz 90% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; higher 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

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 88 — grenade impact well above the norm.

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

Aim8.0

Positioning5.4

Utility8.8

Mechanics6.5

Opening Duels3.1

Win Impact6.7

Composite 7.1/10 (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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time528ms+22ms

first ⅓ avg 507ms → last ⅓ avg 528ms

Headshot accuracy16.0%−2.4%

first ⅓ avg 18.4% → last ⅓ avg 16.0%

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

0.17Best rating — inferno 9–4

13–0Biggest win — ancient

9Longest win streak

4–3In matches decided by ≤2 rounds

6Overtime games

Map breakdown

anubisBest map · 75% over 28mirageWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
anubis	S	28	21–7	75%	0.03
inferno	A	25	16–9	64%	0.01
ancient	A	16	9–7	56%	0.02
cache	A	11	7–4	64%	0.00
dust2	D	7	2–5	29%	-0.00
mirage	D	6	1–5	17%	-0.04
nuke	C	5	2–3	40%	0.04
train	—	1	0–1	0%	-0.03
vertigo	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

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

Lifetime stats

266,828Lifetime kills

1.06K/D

10,102Matches

48.8%Match win rate · Top 50% of Level 10 players

53.8%Headshot % · Top 50% of Level 10 players

5.6%Shot accuracy

24,954MVPs

6,154Hours (in match)

11,779Bombs planted

2,942Bombs defused

Most-used weapons

AK-47106,651

M4A4 / M4A1-S44,960

AWP31,267

Desert Eagle18,358

P2000 / USP-S14,982

Glock-187,616

Galil AR6,446

MP95,940

FAMAS4,535

MAC-104,353

Lifetime map wins

36,634inferno

11,650dust2

3,797nuke

3,792vertigo

1,889train

1,302office

583cbble

59lake

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

Faceit stats

Combat

2,499Matches

52%Win rate

1.07Avg K/D

77.7ADR

43%Headshot %

Clutches & streaks

39%1v1 clutch win

20%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	454	57%	1.09	15.0
Anubis	422	55%	1.12	15.3
Ancient	411	50%	1.07	14.9
Mirage	239	41%	0.96	14.6
Dust2	170	46%	1.03	14.0
Cache	93	51%	1.26	14.5
Nuke	78	42%	0.95	15.1
Overpass	51	53%	1.05	13.8

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.

16.5%Headshot accuracy

36.4%Accuracy (enemy spotted)

43.3%Spray accuracy

79.2%Counter-strafing

9.2°Preaim

534msReaction time

38.3%T opening success

46.1%CT opening success

0.75Enemies flashed / flash

12.9%Flash assists

11.79HE damage / grenade

22.49Flashes / 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.

Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 38.3302% — below the 40% mark we flag

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.

17% win rate across 6 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
anubis	13–5	0.08	8%	30 Aug →
inferno	7–13	0.09	24%	30 Aug →
cache	10–13	-0.01	5%	30 Aug →
anubis	13–5	0.11	31%	29 Aug →
dust2	13–5	-0.03	10%	29 Aug →
inferno	6–13	0.01	18%	29 Aug →
dust2	8–13	-0.04	23%	28 Aug →
nuke	13–2	0.07	10%	28 Aug →
inferno	10–13	0.00	26%	28 Aug →
anubis	10–13	-0.13	9%	28 Aug →
train	10–13	-0.03	22%	27 Aug →
cache	13–6	0.00	19%	27 Aug →
anubis	13–6	0.01	21%	27 Aug →
inferno	9–13	0.06	21%	27 Aug →
cache	13–8	-0.03	9%	27 Aug →
ancient	12–12	-0.02	14%	27 Aug →
anubis	13–1	-0.03	19%	27 Aug →
dust2	13–4	0.09	17%	27 Aug →
inferno	9–4	0.17	10%	27 Aug →
inferno	9–7	-0.05	15%	27 Aug →
inferno	0–9	-0.25	8%	27 Aug →
ancient	13–7	0.03	19%	26 Aug →
cache	9–13	-0.01	16%	26 Aug →
anubis	13–6	0.08	16%	26 Aug →
cache	7–13	-0.01	9%	26 Aug →
anubis	13–5	0.02	13%	25 Aug →
ancient	13–7	0.08	15%	25 Aug →
anubis	13–6	0.04	7%	25 Aug →
ancient	8–13	0.01	22%	25 Aug →
dust2	6–13	-0.05	15%	22 Aug →
anubis	13–9	0.03	13%	22 Aug →
inferno	13–4	0.05	25%	21 Aug →
nuke	10–13	0.06	23%	21 Aug →
anubis	13–8	0.05	8%	21 Aug →
ancient	13–16	0.03	11%	21 Aug →
ancient	13–0	0.03	23%	20 Aug →
cache	16–12	0.02	16%	20 Aug →
mirage	8–13	-0.01	10%	20 Aug →
inferno	12–3	0.07	12%	20 Aug →
dust2	10–13	0.04	16%	19 Aug →
anubis	13–7	0.02	16%	19 Aug →
anubis	13–11	-0.04	18%	18 Aug →
inferno	13–8	-0.02	23%	18 Aug →
dust2	10–13	-0.01	10%	18 Aug →
inferno	13–10	0.06	32%	14 Aug →
mirage	13–5	-0.05	14%	14 Aug →
ancient	7–13	-0.06	12%	13 Aug →
inferno	13–4	0.01	14%	13 Aug →
mirage	0–3	-0.22	0%	13 Aug →
anubis	13–9	0.06	15%	13 Aug →
inferno	13–9	-0.04	15%	12 Aug →
inferno	13–6	0.10	21%	12 Aug →
ancient	13–10	0.01	15%	12 Aug →
inferno	13–10	0.02	25%	12 Aug →
anubis	13–4	0.05	20%	12 Aug →
cache	3–13	0.01	30%	12 Aug →
anubis	10–13	-0.02	13%	11 Aug →
ancient	13–1	0.03	19%	11 Aug →
cache	13–5	0.07	23%	11 Aug →
cache	13–8	0.02	23%	10 Aug →
anubis	13–11	0.07	23%	10 Aug →
vertigo	13–9	0.01	8%	10 Aug →
anubis	13–6	0.04	27%	10 Aug →
anubis	19–15	0.06	16%	9 Aug →
ancient	13–10	0.06	15%	5 Aug →
anubis	13–7	0.06	21%	5 Aug →
ancient	9–13	0.01	20%	5 Aug →
anubis	13–16	0.06	8%	5 Aug →
inferno	25–21	0.01	9%	4 Aug →
anubis	10–13	0.01	18%	4 Aug →
mirage	10–13	0.02	20%	4 Aug →
ancient	13–10	0.06	14%	4 Aug →
cache	13–6	0.02	23%	4 Aug →
inferno	4–13	-0.07	12%	4 Aug →
ancient	10–13	-0.02	11%	4 Aug →
anubis	13–11	0.02	11%	4 Aug →
inferno	13–4	0.00	20%	4 Aug →
ancient	13–6	0.05	16%	3 Aug →
mirage	11–13	0.02	21%	3 Aug →
ancient	13–7	0.07	15%	3 Aug →
nuke	11–13	0.02	22%	2 Aug →
inferno	4–13	-0.08	22%	1 Aug →
nuke	13–1	0.03	31%	31 Jul →
anubis	13–10	0.07	27%	31 Jul →
anubis	13–3	0.06	13%	31 Jul →
inferno	13–4	-0.02	31%	30 Jul →
mirage	0–5	-0.00	9%	30 Jul →
anubis	7–13	-0.03	18%	30 Jul →
inferno	13–6	-0.00	11%	30 Jul →
ancient	10–13	-0.02	20%	30 Jul →
inferno	13–5	0.04	27%	30 Jul →
cache	13–6	-0.04	31%	30 Jul →
anubis	8–13	-0.07	11%	30 Jul →
nuke	4–13	0.01	24%	29 Jul →
inferno	13–4	0.06	12%	29 Jul →
anubis	13–9	0.05	29%	29 Jul →
dust2	5–13	-0.05	12%	29 Jul →
inferno	9–13	-0.01	26%	29 Jul →
anubis	14–16	-0.03	17%	29 Jul →
inferno	5–13	0.07	18%	27 Jul →