V.Fox^ — CS2 Stats

DE76561198020991331[U:1:60725603]Steam profile ↗✓ No bans

3,060Tracked matches53%Win rate2024Tracked since

CSDB Rating4.8 DevelopingHybrid Rifler

Premier CS Rating12,816Blue band · top ~40% of ranked players (population est.)

CSDB Leaderboard#12561 of 18079 tracked

WingmanMaster Guardian I

Ladder ranks via Leetify

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Performance scores

Aim65

Positioning47

Utility45

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateWLWLLWWWLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

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

Aim6.5

Aggression5.2

Utility4.5

Positioning4.7

Opening Duels0.7

Clutch0.0

Limited utility dependence

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 85% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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. 664ms 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

Aim6.5

Positioning4.7

Utility4.5

Mechanics5.5

Opening Duels0.8

Win Impact6.1

Composite 4.8/10 (Developing), 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 rating-0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg -0.00

Reaction time669ms−5ms

first ⅓ avg 674ms → last ⅓ avg 669ms

Headshot accuracy14.1%+1.6%

first ⅓ avg 12.5% → last ⅓ avg 14.1%

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

0.15Best rating — cache 13–5

13–1Biggest win — inferno

7Longest win streak

8–10In matches decided by ≤2 rounds

6Overtime games

Map breakdown

nukeBest map · 64% over 11infernoWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	36	21–15	58%	-0.01
cache	A	15	9–6	60%	0.00
ancient	A	13	8–5	62%	0.00
nuke	A	11	7–4	64%	0.00
anubis	C	8	3–5	38%	-0.01
inferno	D	6	1–5	17%	-0.01
mirage	C	5	2–3	40%	-0.03
poseidon	—	3	0–3	0%	-0.07
eldorado	—	1	0–1	0%	-0.15
vertigo	—	1	0–1	0%	-0.12
debris	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

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

Faceit stats

Combat

21Matches

33%Win rate

0.71Avg K/D

68.8ADR

39%Headshot %

Clutches & streaks

11%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	8	50%	0.61	9.0
Inferno	5	20%	0.71	13.4
Anubis	3	33%	0.78	13.0
Mirage	2	0%	0.93	17.5

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.

13.4%Headshot accuracy

37.1%Accuracy (enemy spotted)

44.4%Spray accuracy

74.8%Counter-strafing

8.9°Preaim

664msReaction time

29.5%T opening success

36.1%CT opening success

0.52Enemies flashed / flash

6.0%Flash assists

8.37HE damage / grenade

4.91Flashes / 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 13.4247% — below the 15% mark we flag
Aim Training →
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 29.4584% — 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.

17% win rate across 6 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
ancient	13–8	0.01	5%	27 Aug →
dust2	11–13	0.05	15%	27 Aug →
dust2	13–9	-0.02	20%	26 Aug →
dust2	10–13	-0.01	21%	25 Aug →
inferno	8–13	0.01	12%	25 Aug →
dust2	13–10	-0.02	16%	22 Aug →
ancient	13–9	0.03	6%	22 Aug →
dust2	13–9	0.01	13%	22 Aug →
anubis	9–13	0.00	6%	22 Aug →
dust2	13–6	0.02	15%	21 Aug →
dust2	13–9	0.02	15%	21 Aug →
dust2	16–13	-0.02	18%	21 Aug →
nuke	13–5	-0.02	19%	21 Aug →
dust2	9–13	0.02	22%	21 Aug →
ancient	7–13	-0.01	18%	18 Aug →
dust2	10–13	-0.04	12%	18 Aug →
cache	13–5	0.15	16%	17 Aug →
anubis	9–13	-0.01	14%	17 Aug →
ancient	3–13	-0.03	21%	16 Aug →
cache	16–14	-0.06	7%	12 Aug →
dust2	16–14	0.00	13%	12 Aug →
cache	12–16	0.04	10%	12 Aug →
cache	14–16	-0.03	15%	10 Aug →
anubis	13–8	-0.03	17%	9 Aug →
nuke	5–13	0.00	9%	9 Aug →
cache	13–11	0.02	15%	9 Aug →
dust2	13–10	-0.03	13%	8 Aug →
nuke	9–13	-0.00	11%	8 Aug →
dust2	10–13	-0.01	6%	7 Aug →
nuke	13–4	0.06	5%	7 Aug →
dust2	10–13	-0.03	21%	7 Aug →
dust2	11–13	-0.07	28%	7 Aug →
dust2	13–8	-0.04	12%	7 Aug →
dust2	13–9	-0.01	7%	6 Aug →
dust2	13–8	0.03	23%	6 Aug →
cache	2–13	-0.07	4%	5 Aug →
anubis	10–13	-0.02	6%	5 Aug →
anubis	11–13	0.05	11%	4 Aug →
dust2	13–11	-0.00	23%	4 Aug →
dust2	7–13	0.05	20%	2 Aug →
ancient	13–2	0.02	3%	2 Aug →
cache	8–13	-0.09	10%	2 Aug →
anubis	13–6	0.00	15%	1 Aug →
dust2	13–8	-0.01	11%	1 Aug →
nuke	5–13	-0.02	20%	1 Aug →
dust2	13–10	-0.01	14%	30 Jul →
anubis	13–3	-0.04	12%	30 Jul →
dust2	9–13	-0.05	12%	30 Jul →
dust2	13–8	0.06	16%	29 Jul →
ancient	13–7	0.01	15%	29 Jul →
nuke	13–8	0.03	14%	29 Jul →
inferno	11–13	0.02	13%	27 Jul →
anubis	7–13	-0.06	10%	27 Jul →
poseidon	2–9	-0.08	17%	20 Jul →
eldorado	8–8	-0.15	16%	20 Jul →
ancient	8–13	-0.06	9%	19 Jul →
dust2	8–13	-0.00	11%	19 Jul →
cache	13–5	-0.04	14%	17 Jul →
ancient	5–13	0.02	3%	17 Jul →
dust2	9–13	-0.02	10%	17 Jul →
poseidon	8–8	-0.04	10%	17 Jul →
vertigo	3–9	-0.12	4%	17 Jul →
poseidon	6–9	-0.08	12%	17 Jul →
mirage	5–13	-0.07	7%	16 Jul →
cache	8–13	-0.03	8%	16 Jul →
mirage	8–13	-0.07	4%	16 Jul →
dust2	13–8	-0.04	15%	16 Jul →
inferno	11–13	0.00	10%	16 Jul →
nuke	13–11	-0.05	12%	16 Jul →
dust2	13–7	0.04	22%	16 Jul →
dust2	11–13	-0.00	7%	15 Jul →
inferno	13–1	-0.04	13%	15 Jul →
cache	13–1	0.01	16%	15 Jul →
dust2	9–13	-0.03	16%	15 Jul →
nuke	13–2	0.03	6%	15 Jul →
dust2	11–13	-0.06	8%	15 Jul →
cache	11–13	-0.04	16%	14 Jul →
mirage	13–10	0.02	13%	14 Jul →
ancient	13–7	0.04	12%	14 Jul →
nuke	13–6	-0.03	2%	14 Jul →
dust2	13–7	0.08	23%	14 Jul →
dust2	13–11	-0.02	9%	14 Jul →
inferno	7–13	-0.06	17%	14 Jul →
nuke	9–6	0.10	24%	14 Jul →
debris	8–8	-0.06	19%	14 Jul →
nuke	7–9	-0.07	10%	14 Jul →
mirage	4–13	-0.01	14%	14 Jul →
ancient	13–8	-0.03	7%	14 Jul →
cache	13–7	0.04	14%	14 Jul →
ancient	6–13	0.02	16%	13 Jul →
ancient	13–11	-0.03	10%	13 Jul →
dust2	13–16	-0.01	11%	13 Jul →
inferno	8–13	0.01	10%	13 Jul →
cache	13–11	0.06	13%	13 Jul →
dust2	13–10	-0.04	11%	13 Jul →
cache	13–9	0.12	8%	13 Jul →
dust2	13–5	0.01	17%	13 Jul →
mirage	13–10	-0.02	13%	13 Jul →
ancient	13–7	0.08	6%	13 Jul →
cache	13–10	-0.02	6%	13 Jul →