phöki — CS2 Stats

76561198022683522[U:1:62417794]

2,154Tracked matches59%Win rate2020Tracked since

5,793Hours in CS6Hrs last 2 wks

CSDB Rating6.5 SolidAggressive Rifler

Premier CS Rating22,722Top 50% of 29,473 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)

CSDB Leaderboard#10572 of 44586 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

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	45.4%	51.9%
Shot accuracy	15.8%	13.7%
Kill/death ratio	1.10	1.08
Match win rate	43.7%	48.7%

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Performance scores

Aim73

Positioning56

Utility59

0–100 skill scores via Leetify.

Recent form

HOT51–43–6Last 10051%Win rateWWWLWLWWWL

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

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

Aim7.3

Aggression8.4

Utility5.9

Positioning5.6

Opening Duels4.0

Clutch5.4

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 donk 90% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.3

Positioning5.6

Utility5.9

Mechanics6.6

Opening Duels4.0

Win Impact7.9

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time545ms−20ms

first ⅓ avg 565ms → last ⅓ avg 545ms

Headshot accuracy14.9%−0.2%

first ⅓ avg 15.1% → last ⅓ avg 14.9%

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

0.20Best rating — train 13–3

13–2Biggest win — cache

4Longest win streak

W3Current streak

8–6In matches decided by ≤2 rounds

13Overtime games

Map breakdown

trainBest map · 60% over 5overpassWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	34	20–14	59%	0.02
inferno	B	22	11–11	50%	0.02
ancient	C	15	6–9	40%	0.02
anubis	A	11	6–5	55%	0.02
overpass	D	7	2–5	29%	0.01
train	A	5	3–2	60%	0.03
mirage	—	2	0–2	0%	-0.06
dust2	—	2	2–0	100%	0.06
nuke	—	2	1–1	50%	-0.02

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

221,584Lifetime kills

1.10K/D · Top 50% of Level 10 players

9,260Matches

43.7%Match win rate

45.4%Headshot %

15.8%Shot accuracy · Top 50% of Level 10 players

38,174MVPs

3,698Hours (in match)

9,417Bombs planted

6,534Bombs defused

Most-used weapons

AK-4783,901

M4A4 / M4A1-S44,694

AWP23,568

P2000 / USP-S14,981

Desert Eagle10,435

Glock-189,478

FAMAS5,649

MAC-103,730

P2503,023

MP92,099

Lifetime map wins

29,400inferno

9,189dust2

5,919train

5,795nuke

3,786vertigo

1,491cbble

288office

197lake

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

Faceit stats

Combat

1,160Matches

53%Win rate

1.13Avg K/D

82.1ADR

43%Headshot %

Clutches & streaks

47%1v1 clutch win

35%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	40	62%	1.13	17.0
Ancient	37	49%	1.09	16.1
Inferno	25	56%	1.28	19.6
Mirage	16	56%	1.05	17.6
Dust2	9	44%	0.93	14.0
Nuke	9	67%	0.95	14.8
Vertigo	8	62%	1.09	15.1
Train	6	50%	1.14	21.0

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.

14.4%Headshot accuracy

33.9%Accuracy (enemy spotted)

39.1%Spray accuracy

79.7%Counter-strafing

8.7°Preaim

544msReaction time

41.2%T opening success

50.7%CT opening success

0.59Enemies flashed / flash

4.8%Flash assists

12.25HE damage / grenade

7.10Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.4367% — below the 15% mark we flag
Aim Training →

Spend your practice time on Overpass

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	16–14	0.01	14%	22 Aug →
anubis	13–8	0.01	11%	22 Aug →
ancient	16–14	-0.01	11%	22 Aug →
mirage	4–13	-0.02	24%	22 Aug →
cache	13–6	-0.04	15%	22 Aug →
inferno	6–13	-0.00	9%	22 Aug →
anubis	13–6	-0.03	14%	21 Aug →
cache	13–8	0.01	13%	21 Aug →
cache	13–3	0.03	17%	21 Aug →
anubis	9–13	-0.06	10%	10 Aug →
cache	6–13	-0.04	12%	7 Aug →
cache	12–12	0.04	17%	7 Aug →
inferno	7–13	-0.05	24%	7 Aug →
anubis	1–13	-0.06	16%	5 Aug →
inferno	13–11	-0.01	11%	5 Aug →
cache	13–8	0.11	11%	3 Aug →
inferno	5–13	0.03	24%	3 Aug →
cache	16–12	-0.01	9%	2 Aug →
anubis	13–4	0.12	22%	2 Aug →
inferno	16–14	0.01	15%	2 Aug →
dust2	13–4	0.04	8%	26 Jun →
anubis	11–13	-0.00	11%	26 Jun →
inferno	8–13	-0.02	28%	26 Jun →
cache	13–9	0.02	15%	26 Jun →
inferno	6–13	0.02	7%	25 Jun →
cache	8–13	0.09	20%	6 Jun →
inferno	13–4	-0.01	17%	6 Jun →
inferno	13–7	-0.01	8%	5 Jun →
cache	13–7	0.01	15%	5 Jun →
cache	9–13	-0.00	12%	5 Jun →
cache	13–6	0.01	18%	2 Jun →
cache	5–13	-0.06	12%	2 Jun →
cache	13–2	0.05	18%	1 Jun →
cache	2–9	-0.03	21%	1 Jun →
inferno	9–13	-0.01	13%	24 May →
cache	0–13	-0.01	24%	24 May →
cache	13–11	-0.02	15%	24 May →
cache	11–2	0.05	29%	24 May →
cache	12–12	0.07	14%	24 May →
cache	13–11	0.01	16%	24 May →
cache	3–13	-0.03	13%	23 May →
cache	13–10	-0.01	14%	23 May →
cache	13–7	0.05	16%	19 May →
cache	5–13	-0.03	28%	19 May →
cache	13–4	0.03	24%	11 May →
cache	13–2	0.13	14%	11 May →
cache	13–10	0.04	20%	11 May →
cache	7–13	0.03	17%	10 May →
cache	12–12	0.00	19%	10 May →
cache	13–10	0.04	15%	10 May →
cache	9–13	0.00	25%	10 May →
cache	10–2	0.04	22%	7 May →
cache	9–13	0.00	21%	7 May →
inferno	9–13	0.06	17%	21 Apr →
inferno	13–9	-0.00	15%	13 Apr →
ancient	10–13	-0.02	22%	12 Apr →
overpass	4–13	-0.02	6%	12 Apr →
anubis	13–10	0.08	16%	31 Mar →
inferno	13–10	0.07	11%	26 Mar →
anubis	10–13	0.03	25%	25 Mar →
ancient	13–9	0.04	13%	15 Mar →
ancient	15–15	0.07	12%	13 Mar →
inferno	13–5	0.10	8%	13 Mar →
anubis	13–9	0.03	5%	13 Mar →
ancient	8–13	0.02	17%	13 Mar →
ancient	6–13	0.01	10%	26 Feb →
inferno	16–13	0.00	19%	22 Feb →
anubis	16–12	0.05	15%	22 Feb →
anubis	15–15	0.04	14%	4 Feb →
ancient	11–13	-0.01	7%	4 Feb →
inferno	13–4	0.11	11%	9 Oct →
inferno	13–8	0.07	21%	8 Oct →
inferno	8–13	-0.01	18%	8 Oct →
ancient	13–6	0.12	14%	7 Oct →
train	13–9	-0.01	20%	7 Oct →
overpass	3–13	0.03	21%	7 Oct →
train	7–13	-0.00	11%	4 Oct →
ancient	13–11	0.06	11%	4 Oct →
ancient	6–13	-0.01	13%	28 Sept →
train	13–3	0.20	15%	28 Sept →
nuke	12–6	-0.01	25%	28 Sept →
overpass	13–3	0.06	21%	28 Sept →
ancient	8–13	-0.01	14%	28 Sept →
train	13–11	0.00	14%	27 Sept →
ancient	12–16	-0.03	16%	27 Sept →
inferno	11–13	0.04	14%	27 Sept →
overpass	13–16	-0.03	15%	24 Sept →
inferno	11–13	0.00	11%	24 Sept →
inferno	5–13	-0.04	12%	24 Sept →
ancient	3–13	-0.03	18%	24 Sept →
mirage	15–15	-0.10	9%	17 Sept →
train	13–16	-0.03	13%	16 Sept →
ancient	13–7	0.07	12%	16 Sept →
dust2	13–3	0.08	27%	16 Sept →
inferno	13–8	0.01	8%	15 Sept →
overpass	7–13	-0.05	20%	15 Sept →
ancient	13–8	0.07	17%	15 Sept →
overpass	13–5	0.08	22%	14 Sept →
nuke	14–16	-0.03	10%	13 Sept →
overpass	11–13	0.02	9%	13 Sept →