Phnx — CS2 Stats

AI76561198861506846[U:1:901241118]Steam profile ↗✓ No bans

1,274Tracked matches43%Win rate2020Tracked since

1,636Hours in CS

CSDB Rating5.9 SolidAggressive Rifler

WingmanGold Nova I

Ladder ranks via Leetify

Performance scores

Aim73

Positioning66

Utility68

0–100 skill scores via Leetify.

Recent form

COLD51–46–3Last 10051%Win rateLLLLWLLLLL

Last 10 vs previous 10: -40pp win rate · -0.02 avg rating

Player DNA

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

Aim7.3

Aggression9.4

Utility6.8

Positioning6.6

Opening Duels5.2

Clutch6.0

Strong 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.

Your pro match

Plays most like ZywOo 92% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 60% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 620ms 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

Aim7.3

Positioning6.6

Utility6.8

Mechanics6.1

Opening Duels5.2

Win Impact2.8

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.03

first ⅓ avg 0.04 → last ⅓ avg 0.00

Reaction time625ms−17ms

first ⅓ avg 642ms → last ⅓ avg 625ms

Headshot accuracy17.6%−2.7%

first ⅓ avg 20.3% → last ⅓ avg 17.6%

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

0.19Best rating — ancient 13–7

13–2Biggest win — inferno

4Longest win streak

L4Current streak

9–5In matches decided by ≤2 rounds

9Overtime games

Map breakdown

overpassBest map · 78% over 9mirageWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	32	19–13	59%	0.01
ancient	C	18	8–10	44%	0.03
nuke	B	10	5–5	50%	0.02
dust2	D	9	3–6	33%	0.01
anubis	A	9	5–4	56%	0.02
overpass	S	9	7–2	78%	0.04
mirage	D	7	2–5	29%	0.00
train	—	3	0–3	0%	0.00
cache	—	2	1–1	50%	0.04
vertigo	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

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

Lifetime stats

87,116Lifetime kills

1.21K/D · Top 25% of tracked players

3,613Matches

49.6%Match win rate · Top 25% of tracked players

47.6%Headshot % · Top 50% of tracked players

20.0%Shot accuracy · Top 5% of tracked players

12,475MVPs

1,636Hours (in match)

2,883Bombs planted

1,013Bombs defused

Most-used weapons

AK-4728,814

M4A4 / M4A1-S15,231

AWP8,850

Desert Eagle7,115

P2000 / USP-S5,976

Glock-184,611

Galil AR3,312

FAMAS2,463

MAC-101,772

SSG 081,331

Lifetime map wins

14,169inferno

3,998dust2

2,724nuke

1,590vertigo

533train

85lake

63cbble

36safehouse

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

Faceit stats

Combat

726Matches

53%Win rate

1.15Avg K/D

94.0ADR

40%Headshot %

Clutches & streaks

50%1v1 clutch win

31%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	32	59%	1.93	21.3
Inferno	28	68%	1.48	21.6
Anubis	16	38%	1.18	19.6
Overpass	11	55%	1.55	18.4
Nuke	7	71%	1.66	24.0
Dust2	3	33%	0.97	13.3
Vertigo	2	50%	1.02	18.0
Mirage	2	0%	0.43	7.0

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.

17.1%Headshot accuracy

36.6%Accuracy (enemy spotted)

39.1%Spray accuracy

77.6%Counter-strafing

8.2°Preaim

620msReaction time

41.8%T opening success

60.1%CT opening success

0.66Enemies flashed / flash

8.2%Flash assists

13.13HE damage / grenade

11.05Flashes / 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.

29% win rate across 7 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
ancient	3–13	0.03	23%	4 Aug →
mirage	9–13	0.01	11%	4 Aug →
dust2	10–13	0.11	20%	4 Aug →
cache	7–13	-0.06	18%	4 Aug →
mirage	13–6	-0.00	23%	4 Aug →
dust2	3–13	-0.03	18%	4 Aug →
ancient	2–13	0.04	25%	3 Aug →
anubis	6–13	-0.04	16%	3 Aug →
nuke	2–13	-0.01	15%	3 Aug →
anubis	2–13	-0.04	19%	3 Aug →
ancient	5–13	-0.02	30%	3 Aug →
inferno	13–7	0.11	15%	2 Aug →
inferno	10–13	0.00	14%	2 Aug →
ancient	13–8	-0.05	17%	2 Aug →
nuke	13–11	0.13	13%	2 Aug →
dust2	13–11	-0.02	22%	2 Aug →
nuke	13–8	0.00	15%	2 Aug →
anubis	14–16	0.04	11%	1 Aug →
dust2	4–13	-0.06	13%	1 Aug →
ancient	4–13	0.04	15%	31 Jul →
mirage	10–13	-0.04	5%	31 Jul →
dust2	13–8	-0.02	16%	31 Jul →
inferno	13–4	-0.00	16%	31 Jul →
inferno	5–13	-0.07	17%	31 Jul →
inferno	13–8	-0.02	17%	31 Jul →
ancient	13–9	0.01	13%	30 Jul →
nuke	13–8	0.02	25%	30 Jul →
dust2	4–13	-0.07	20%	30 Jul →
overpass	13–4	0.09	22%	16 Jun →
inferno	13–8	0.11	16%	16 Jun →
nuke	11–13	0.05	17%	16 Jun →
inferno	16–13	0.00	23%	11 Jun →
nuke	6–13	-0.07	19%	11 Jun →
ancient	13–16	-0.04	16%	13 May →
cache	13–4	0.15	15%	13 May →
ancient	13–10	0.05	16%	5 Feb →
ancient	13–11	0.04	13%	5 Feb →
inferno	13–5	0.02	14%	5 Feb →
mirage	11–13	0.01	12%	4 Feb →
inferno	8–8	-0.16	11%	4 Feb →
overpass	16–13	0.04	22%	19 Nov →
inferno	13–9	0.03	18%	19 Nov →
overpass	8–13	0.02	21%	19 Nov →
train	12–16	0.07	8%	17 Nov →
inferno	7–13	-0.00	10%	17 Nov →
ancient	10–13	-0.00	17%	17 Nov →
inferno	10–4	-0.04	15%	17 Nov →
inferno	10–13	-0.02	16%	15 Nov →
overpass	13–7	0.07	5%	15 Nov →
overpass	13–8	0.03	13%	12 Nov →
nuke	22–19	0.03	15%	11 Nov →
inferno	11–13	-0.05	10%	11 Nov →
inferno	13–11	-0.00	15%	11 Nov →
inferno	13–11	0.05	28%	11 Nov →
mirage	13–9	0.01	14%	10 Nov →
overpass	8–13	-0.02	21%	10 Nov →
nuke	7–13	0.01	13%	10 Nov →
overpass	13–7	0.03	13%	9 Nov →
inferno	16–14	0.02	30%	9 Nov →
inferno	3–13	0.02	19%	9 Nov →
overpass	13–11	0.05	17%	9 Nov →
train	11–13	0.01	22%	9 Nov →
ancient	13–9	0.10	24%	9 Nov →
nuke	8–13	-0.02	28%	21 Jul →
ancient	7–13	-0.01	19%	21 Jul →
inferno	13–2	0.13	18%	17 Jul →
train	7–13	-0.07	26%	17 Jul →
inferno	4–13	0.01	15%	15 Jul →
mirage	12–12	-0.00	20%	15 Jul →
anubis	13–11	0.02	24%	14 Jul →
inferno	13–11	0.03	15%	14 Jul →
inferno	5–13	0.03	19%	14 Jul →
overpass	13–7	0.08	19%	7 Jul →
dust2	7–1	0.10	35%	7 Jul →
ancient	9–13	0.03	24%	7 Jul →
anubis	13–10	0.01	13%	7 Jul →
anubis	13–6	0.02	13%	7 Jul →
nuke	13–7	0.06	19%	16 Jun →
inferno	13–8	0.04	13%	16 Jun →
inferno	8–13	0.07	13%	28 Dec →
inferno	13–5	-0.01	21%	28 Dec →
ancient	13–16	0.02	17%	7 Dec →
inferno	2–11	-0.04	44%	6 Dec →
inferno	13–9	0.03	19%	9 Oct →
inferno	13–10	-0.08	19%	3 Oct →
ancient	5–13	-0.05	14%	3 Oct →
inferno	13–2	0.05	8%	3 Oct →
dust2	7–13	0.09	29%	3 Oct →
anubis	13–8	0.13	27%	25 Sept →
dust2	7–13	0.01	22%	25 Sept →
mirage	12–12	0.03	23%	25 Sept →
inferno	5–13	-0.04	17%	25 Sept →
ancient	13–10	0.12	23%	25 Sept →
inferno	13–9	0.04	22%	25 Sept →
inferno	9–13	0.07	24%	16 Sept →
ancient	13–7	0.19	17%	16 Sept →
vertigo	13–2	0.07	23%	16 Sept →
anubis	8–13	0.01	22%	15 Sept →
anubis	16–13	0.07	21%	15 Sept →
ancient	13–3	0.06	17%	15 Sept →