phobia ♔ — CS2 Stats

US76561198434793861[U:1:474528133]Steam profile ↗✓ No bans

2,802Tracked matches53%Win rate2020Tracked since

6,104Hours in CS48Hrs last 2 wks

CSDB Rating6.7 SolidAggressive Rifler

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanSilver Elite Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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	51.5%	52.0%
Shot accuracy	16.5%	13.7%
Kill/death ratio	0.70	1.08
Match win rate	46.5%	48.8%

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Performance scores

Aim90

Positioning54

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateLLLWWWWWLW

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.

Aim9.0

Aggression7.3

Utility5.9

Positioning5.4

Opening Duels2.3

Clutch4.0

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.

Your pro match

Plays most like b1t 95% playstyle similarity

Most alike: opening-fight frequency, 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 90 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 54% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.0

Positioning5.4

Utility5.9

Mechanics7.7

Opening Duels3.0

Win Impact6.1

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time553ms−109ms

first ⅓ avg 662ms → last ⅓ avg 553ms

Headshot accuracy24.3%−0.6%

first ⅓ avg 24.8% → last ⅓ avg 24.3%

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

0.12Best rating — inferno 13–5

13–1Biggest win — mirage

7Longest win streak

L3Current streak

13–8In matches decided by ≤2 rounds

19Overtime games

Map breakdown

ancientBest map · 63% over 19infernoWeakest map · 23% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	33	15–18	45%	0.01
ancient	A	19	12–7	63%	0.00
dust2	C	14	6–8	43%	0.01
inferno	D	13	3–10	23%	-0.01
nuke	A	10	6–4	60%	0.01
anubis	—	4	1–3	25%	-0.01
cache	—	3	2–1	67%	0.01
overpass	—	2	1–1	50%	-0.04
office	—	1	0–1	0%	-0.05
train	—	1	1–0	100%	-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

227,442Lifetime kills

0.70K/D

5,505Matches

46.5%Match win rate

51.5%Headshot %

16.5%Shot accuracy · Top 25% of Level 10 players

12,886MVPs

12,481Hours (in match)

6,145Bombs planted

1,938Bombs defused

Most-used weapons

AK-4794,067

AWP55,963

P2000 / USP-S19,746

M4A4 / M4A1-S19,082

Desert Eagle11,276

Glock-185,559

Knife2,646

P2502,624

Galil AR2,428

SSG 082,249

Lifetime map wins

10,309inferno

7,054dust2

2,827nuke

2,451vertigo

1,820train

885cbble

24safehouse

20lake

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

Faceit stats

Combat

1,827Matches

50%Win rate

1.25Avg K/D

74.7ADR

39%Headshot %

Clutches & streaks

40%1v1 clutch win

21%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	238	51%	1.25	16.8
Inferno	111	48%	1.23	15.8
Ancient	111	55%	1.29	16.9
Anubis	104	47%	1.20	15.6
Dust2	57	39%	1.19	15.8
Nuke	44	45%	1.26	15.6
Train	13	54%	1.29	16.6
Vertigo	13	38%	1.04	15.2

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.

24.3%Headshot accuracy

39.2%Accuracy (enemy spotted)

39.3%Spray accuracy

84.9%Counter-strafing

8.9°Preaim

539msReaction time

24.2%T opening success

53.9%CT opening success

0.62Enemies flashed / flash

6.2%Flash assists

4.75HE damage / grenade

20.32Flashes / 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 24.2331% — below the 40% mark we flag

Spend your practice time on Inferno

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	9–13	-0.00	28%	26 Aug →
mirage	9–13	0.00	41%	26 Aug →
inferno	11–13	-0.04	32%	25 Aug →
nuke	13–10	-0.03	20%	24 Aug →
anubis	13–7	0.05	24%	24 Aug →
ancient	13–8	0.03	29%	24 Aug →
cache	13–10	0.04	26%	22 Aug →
mirage	13–10	0.01	11%	20 Aug →
mirage	4–13	-0.06	13%	19 Aug →
ancient	19–16	0.02	18%	18 Aug →
ancient	13–3	0.03	22%	16 Aug →
anubis	7–13	-0.09	23%	16 Aug →
mirage	10–13	0.03	20%	16 Aug →
ancient	8–13	-0.06	24%	13 Aug →
ancient	13–6	-0.02	28%	11 Aug →
mirage	7–13	0.03	27%	8 Aug →
nuke	10–13	-0.02	34%	6 Aug →
ancient	13–11	-0.01	20%	5 Aug →
ancient	13–6	0.03	18%	4 Aug →
inferno	10–13	-0.06	44%	3 Aug →
cache	13–9	0.01	9%	3 Aug →
mirage	16–14	0.08	17%	2 Aug →
mirage	7–13	-0.02	21%	27 Jul →
ancient	13–11	-0.01	20%	27 Jul →
mirage	13–10	0.00	16%	27 Jul →
ancient	16–13	-0.00	32%	24 Jul →
cache	14–16	-0.02	31%	20 Jul →
inferno	4–13	-0.01	25%	18 Jul →
ancient	9–13	-0.02	24%	18 Jul →
ancient	16–14	0.01	28%	16 Jul →
mirage	10–13	-0.05	36%	15 Jul →
ancient	10–13	-0.02	25%	15 Jul →
inferno	10–13	-0.00	14%	13 Jul →
nuke	13–7	0.02	36%	13 Jul →
ancient	10–13	0.11	33%	13 Jul →
inferno	3–13	-0.03	50%	13 Jul →
ancient	2–13	-0.02	55%	13 Jul →
nuke	10–13	-0.01	39%	13 Jul →
inferno	13–11	-0.04	39%	13 Jul →
mirage	19–16	0.02	35%	12 Jul →
inferno	6–13	-0.02	17%	11 Jul →
mirage	8–13	-0.04	23%	11 Jul →
mirage	13–10	-0.03	50%	11 Jul →
mirage	9–13	0.01	19%	10 Jul →
ancient	8–13	-0.09	9%	10 Jul →
mirage	7–13	-0.04	23%	6 Jul →
mirage	4–13	-0.01	15%	6 Jul →
office	2–13	-0.05	25%	6 Jul →
mirage	13–11	-0.01	23%	29 Jun →
ancient	13–11	0.03	16%	28 Jun →
inferno	13–8	-0.03	19%	28 Jun →
mirage	11–13	0.06	21%	28 Jun →
dust2	12–16	0.11	36%	25 Jun →
dust2	5–13	-0.06	27%	25 Jun →
mirage	6–13	-0.08	7%	23 Jun →
mirage	13–11	0.05	43%	22 Jun →
anubis	15–15	0.01	25%	21 Jun →
mirage	13–6	0.09	30%	14 Jun →
dust2	11–13	-0.02	44%	20 Apr →
mirage	3–13	0.03	55%	16 Apr →
mirage	10–13	-0.01	38%	16 Apr →
inferno	13–5	0.12	30%	16 Apr →
nuke	13–11	0.04	15%	16 Apr →
dust2	16–14	-0.00	31%	15 Apr →
dust2	8–13	-0.04	32%	11 Apr →
dust2	7–13	-0.06	25%	11 Apr →
dust2	13–6	-0.01	18%	8 Apr →
overpass	6–13	-0.04	15%	6 Apr →
mirage	13–11	0.05	35%	28 Mar →
nuke	13–16	-0.02	29%	2 Mar →
ancient	13–9	-0.04	25%	2 Mar →
nuke	13–8	0.02	35%	23 Feb →
mirage	15–15	0.01	20%	23 Feb →
mirage	15–15	-0.02	7%	22 Feb →
nuke	14–16	0.05	16%	18 Feb →
mirage	13–8	0.05	19%	17 Feb →
anubis	6–13	-0.00	32%	17 Feb →
dust2	13–9	0.08	27%	17 Feb →
inferno	7–13	0.01	28%	17 Feb →
mirage	11–1	-0.02	18%	7 Feb →
inferno	5–13	-0.00	31%	5 Feb →
mirage	13–2	0.03	11%	2 Feb →
inferno	15–15	-0.00	26%	27 Jan →
dust2	13–11	0.11	22%	1 Jan →
ancient	13–9	0.08	28%	29 Dec →
mirage	16–12	0.00	20%	28 Dec →
mirage	15–15	-0.01	18%	28 Dec →
nuke	13–5	0.03	33%	28 Dec →
mirage	13–1	0.07	33%	26 Dec →
overpass	13–9	-0.04	17%	22 Dec →
mirage	16–14	0.02	18%	22 Dec →
train	13–3	-0.06	33%	19 Dec →
dust2	13–7	0.04	29%	19 Dec →
dust2	16–13	-0.02	25%	16 Dec →
dust2	11–13	-0.01	41%	14 Dec →
ancient	11–13	-0.04	21%	9 Nov →
dust2	8–13	0.05	38%	9 Nov →
dust2	15–15	0.06	20%	26 Oct →
nuke	13–8	0.03	34%	26 Oct →
inferno	11–13	0.01	13%	23 Oct →