Philko — CS2 Stats

DE76561198141623565[U:1:181357837]Steam profile ↗✓ No bans

1,400Tracked matches62%Win rate2020Tracked since

2,344Hours in CS

CSDB Rating6.0 SolidHybrid Rifler

Premier CS Rating25,103Top 25% of 819 CSDB-tracked playersRed band · top ~3% of ranked players (population est.)

CSDB Leaderboard#1724 of 10797 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim69

Positioning47

Utility56

0–100 skill scores via Leetify.

Recent form

HOT55–42–3Last 10055%Win rateWWWWLLWLWW

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

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.9

Aggression5.1

Utility5.6

Positioning4.7

Opening Duels1.6

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 NiKo 90% playstyle similarity

Most alike: opening-fight frequency, 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

Areas to improve

Reaction time. 575ms 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

Positioning4.7

Utility5.6

Mechanics5.5

Opening Duels1.6

Win Impact9.0

Composite 6.0/10 (Solid), 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 time577ms−14ms

first ⅓ avg 591ms → last ⅓ avg 577ms

Headshot accuracy13.7%−1.1%

first ⅓ avg 14.7% → last ⅓ avg 13.7%

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 13–5

13–1Biggest win — mirage

5Longest win streak

W4Current streak

7–4In matches decided by ≤2 rounds

13Overtime games

Map breakdown

infernoBest map · 63% over 27overpassWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	34	20–14	59%	0.03
inferno	A	27	17–10	63%	0.02
nuke	B	14	7–7	50%	0.02
cache	A	9	5–4	56%	-0.02
overpass	D	6	1–5	17%	0.04
mirage	C	5	2–3	40%	-0.03
dust2	—	3	2–1	67%	-0.01
anubis	—	2	1–1	50%	-0.02

Across the last 100 tracked matches.

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

Lifetime stats

113,639Lifetime kills

1.14K/D · Top 50% of tracked players

5,338Matches

45.5%Match win rate

36.0%Headshot %

18.9%Shot accuracy · Top 10% of tracked players

14,059MVPs

2,344Hours (in match)

5,843Bombs planted

1,320Bombs defused

Most-used weapons

AK-4735,020

M4A4 / M4A1-S24,312

AWP16,508

P2000 / USP-S5,790

Desert Eagle5,421

Glock-184,072

P2503,027

FAMAS2,267

Galil AR1,985

UMP-451,865

Lifetime map wins

23,534inferno

2,286nuke

2,241dust2

1,854office

1,792vertigo

798train

614cbble

303lake

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

Faceit stats

Combat

218Matches

56%Win rate

1.23Avg K/D

—ADR

33%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	2	0%	0.74	10.0
Vertigo	2	0%	1.00	14.0

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.

13.8%Headshot accuracy

38.6%Accuracy (enemy spotted)

41.1%Spray accuracy

75.0%Counter-strafing

10.4°Preaim

575msReaction time

30.9%T opening success

42.3%CT opening success

0.47Enemies flashed / flash

8.0%Flash assists

13.44HE damage / grenade

5.95Flashes / 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 13.8433% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4654 — below the 0.5 mark we flag
Grenade Lineups →
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 30.8754% — below the 40% mark we flag

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.

17% win rate across 6 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
ancient	13–5	-0.01	9%	20 Aug →
nuke	13–11	0.04	11%	17 Aug →
ancient	13–6	-0.01	16%	17 Aug →
dust2	13–11	-0.05	15%	7 Aug →
inferno	3–10	-0.00	11%	5 Aug →
nuke	10–13	-0.03	8%	5 Aug →
inferno	13–4	0.01	13%	5 Aug →
inferno	0–4	-0.06	0%	5 Aug →
ancient	8–0	0.12	21%	5 Aug →
mirage	13–1	-0.05	18%	5 Aug →
nuke	9–1	0.01	16%	5 Aug →
inferno	13–9	-0.02	5%	5 Aug →
inferno	13–5	-0.03	17%	5 Aug →
nuke	15–15	-0.02	11%	5 Aug →
inferno	11–13	0.09	18%	3 Aug →
ancient	13–11	0.01	13%	3 Aug →
ancient	9–13	0.05	15%	3 Aug →
inferno	13–5	0.17	13%	3 Aug →
ancient	8–13	0.01	16%	3 Aug →
cache	13–16	-0.06	11%	3 Aug →
ancient	13–9	0.07	11%	27 Jul →
cache	13–6	0.03	14%	27 Jul →
inferno	13–9	0.05	16%	26 Jul →
cache	8–13	-0.07	20%	26 Jul →
cache	5–13	-0.03	17%	17 Jul →
cache	5–13	-0.05	27%	17 Jul →
inferno	13–9	-0.06	15%	17 Jul →
mirage	14–16	-0.04	14%	17 Jul →
ancient	13–3	0.06	9%	17 Jul →
nuke	16–12	0.06	13%	16 Jul →
ancient	6–13	0.01	13%	16 Jul →
cache	13–7	-0.04	11%	16 Jul →
inferno	13–9	0.06	13%	13 Jul →
ancient	13–7	0.04	14%	12 Jul →
inferno	8–13	0.03	13%	12 Jul →
inferno	13–2	0.02	13%	12 Jul →
ancient	13–7	-0.03	7%	12 Jul →
ancient	13–10	0.03	15%	12 Jul →
nuke	3–13	-0.07	11%	12 Jul →
cache	13–5	0.04	11%	12 Jul →
nuke	13–7	0.01	13%	12 Jul →
nuke	8–13	0.02	5%	12 Jul →
dust2	13–3	0.01	10%	12 Jul →
inferno	12–16	0.02	12%	10 Jul →
ancient	13–6	0.04	14%	10 Jul →
ancient	13–7	0.14	16%	10 Jul →
inferno	13–9	0.02	13%	10 Jul →
cache	13–9	0.02	5%	10 Jul →
dust2	10–13	0.00	5%	9 Jul →
ancient	9–13	0.07	10%	9 Jul →
inferno	13–8	-0.05	10%	5 Jul →
overpass	9–13	0.06	12%	5 Jul →
inferno	5–13	-0.07	8%	29 Jun →
ancient	13–7	-0.01	8%	29 Jun →
ancient	13–4	-0.05	22%	29 Jun →
nuke	13–10	0.08	25%	21 Jun →
overpass	11–13	0.11	17%	21 Jun →
ancient	13–11	0.04	7%	21 Jun →
nuke	10–13	0.05	15%	21 Jun →
ancient	13–9	0.11	16%	8 Jun →
nuke	13–5	0.01	13%	8 Jun →
inferno	16–13	0.07	13%	7 Jun →
overpass	12–16	0.02	14%	7 Jun →
anubis	13–2	0.01	14%	4 Jun →
ancient	10–13	0.01	13%	4 Jun →
inferno	13–10	0.01	6%	4 Jun →
ancient	14–16	0.00	10%	4 Jun →
ancient	2–13	-0.05	21%	4 Jun →
ancient	16–14	0.02	14%	2 Jun →
inferno	13–11	0.05	14%	1 Jun →
inferno	16–12	0.09	13%	1 Jun →
ancient	10–13	0.06	19%	31 May →
inferno	10–13	0.07	15%	31 May →
nuke	15–15	0.02	9%	31 May →
ancient	13–4	0.02	16%	31 May →
inferno	3–13	-0.04	13%	31 May →
mirage	13–9	0.05	11%	28 May →
overpass	10–13	0.03	12%	28 May →
ancient	9–13	0.02	14%	27 May →
ancient	9–13	-0.02	19%	27 May →
overpass	10–13	0.03	13%	27 May →
inferno	6–13	-0.00	13%	24 May →
anubis	13–16	-0.04	19%	24 May →
ancient	13–3	0.08	13%	24 May →
nuke	13–7	0.06	17%	24 May →
nuke	6–13	0.01	24%	24 May →
overpass	13–5	-0.02	5%	24 May →
mirage	6–13	-0.05	14%	16 May →
ancient	9–13	-0.09	16%	16 May →
inferno	13–7	0.06	19%	16 May →
inferno	13–3	-0.03	19%	16 May →
inferno	5–13	-0.08	13%	16 May →
ancient	4–1	0.15	13%	16 May →
ancient	13–7	0.01	10%	15 May →
inferno	13–1	0.06	29%	15 May →
cache	13–11	0.02	14%	15 May →
ancient	6–13	-0.03	8%	15 May →
ancient	15–15	-0.02	13%	15 May →
mirage	9–13	-0.06	10%	15 May →
ancient	8–13	0.02	13%	15 May →