foodHot — CS2 Stats

76561198359079206[U:1:398813478]Steam profile ↗✓ No bans

1,765Tracked matches52%Win rate2021Tracked since

CSDB Rating4.0 Developing

FaceitLevel 2Top 97.9% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim49

Positioning25

Utility23

0–100 skill scores via Leetify.

Recent form

HOT43–53–4Last 10043%Win rateWWLLWWWWLW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

Aim4.9

Aggression0.0

Utility2.3

Positioning2.5

Opening Duels0.0

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 62% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower opening-fight frequency.

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

T-side openings. Opening success drops from 30% on CT to 5% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 645ms 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

Aim4.9

Positioning2.5

Utility2.3

Mechanics7.6

Opening Duels0.0

Win Impact5.6

Composite 4.0/10 (Developing), 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-0.06−0.02

first ⅓ avg -0.04 → last ⅓ avg -0.06

Reaction time635ms+6ms

first ⅓ avg 629ms → last ⅓ avg 635ms

Headshot accuracy16.3%+5.3%

first ⅓ avg 11.0% → last ⅓ avg 16.3%

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

0.05Best rating — vertigo 13–2

13–2Biggest win — overpass

6Longest win streak

W2Current streak

4–5In matches decided by ≤2 rounds

2Overtime games

Map breakdown

vertigoBest map · 69% over 13anubisWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
ancient	C	19	7–12	37%	-0.06
overpass	B	15	7–8	47%	-0.05
anubis	D	14	4–10	29%	-0.06
vertigo	S	13	9–4	69%	-0.03
inferno	C	7	3–4	43%	-0.04
cache	D	6	2–4	33%	-0.04
nuke	S	6	4–2	67%	-0.06
train	C	5	2–3	40%	-0.05
warden	—	4	1–3	25%	-0.06
italy	—	2	1–1	50%	-0.07
stronghold	—	2	1–1	50%	-0.09
dust2	—	2	1–1	50%	-0.06
boulder	—	1	0–1	0%	-0.13
mirage	—	1	0–1	0%	-0.06
office	—	1	0–1	0%	-0.02
alpine	—	1	1–0	100%	-0.00
golden	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.6%Headshot accuracy

30.9%Accuracy (enemy spotted)

28.3%Spray accuracy

84.3%Counter-strafing

10.3°Preaim

645msReaction time

5.4%T opening success

30.3%CT opening success

0.30Enemies flashed / flash

1.7%Flash assists

4.50HE damage / grenade

1.75Flashes / 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 14.578% — 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 0.3012 — 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 5.3798% — below the 40% mark we flag

Spend your practice time on Anubis

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 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–8	-0.01	18%	26 Jul →
ancient	13–5	-0.04	19%	25 Jul →
cache	11–13	-0.08	13%	25 Jul →
nuke	2–13	-0.08	25%	25 Jul →
overpass	13–2	-0.00	0%	25 Jul →
vertigo	13–2	-0.01	33%	25 Jul →
anubis	13–10	-0.08	3%	18 Jul →
inferno	13–9	-0.06	20%	18 Jul →
ancient	10–13	-0.03	21%	18 Jul →
cache	13–8	-0.05	8%	18 Jul →
anubis	8–13	-0.03	19%	18 Jul →
ancient	13–2	-0.11	17%	18 Jul →
boulder	2–13	-0.13	6%	18 Jul →
anubis	0–13	-0.08	11%	18 Jul →
anubis	14–16	-0.05	9%	5 Jul →
ancient	7–13	-0.06	15%	5 Jul →
ancient	8–13	-0.05	23%	30 Jun →
train	13–4	-0.04	15%	30 Jun →
overpass	13–10	-0.00	13%	30 Jun →
ancient	13–9	-0.06	6%	27 Jun →
warden	2–9	-0.07	14%	27 Jun →
cache	12–12	-0.06	19%	27 Jun →
anubis	10–13	-0.10	12%	27 Jun →
italy	13–10	-0.06	9%	27 Jun →
cache	9–13	-0.06	21%	20 Jun →
overpass	4–13	-0.09	9%	20 Jun →
anubis	13–9	-0.00	23%	20 Jun →
vertigo	13–10	-0.07	12%	20 Jun →
anubis	9–13	-0.09	18%	20 Jun →
ancient	13–7	-0.04	10%	20 Jun →
vertigo	12–12	-0.04	32%	7 Jun →
ancient	3–13	-0.07	27%	7 Jun →
anubis	13–6	-0.09	38%	7 Jun →
vertigo	5–13	-0.11	16%	7 Jun →
stronghold	13–7	-0.08	7%	7 Jun →
overpass	12–12	-0.07	9%	23 May →
italy	8–13	-0.08	14%	23 May →
cache	13–11	0.01	24%	1 May →
ancient	16–12	-0.09	11%	1 May →
anubis	6–13	-0.06	13%	1 May →
cache	4–13	-0.01	21%	1 May →
warden	8–13	-0.06	11%	25 Apr →
vertigo	13–4	-0.02	4%	25 Apr →
overpass	11–13	-0.07	14%	25 Apr →
vertigo	9–13	-0.07	21%	25 Apr →
warden	3–13	-0.11	5%	25 Apr →
vertigo	8–13	-0.05	21%	25 Apr →
ancient	10–13	-0.09	8%	18 Apr →
inferno	4–13	-0.09	4%	18 Apr →
vertigo	13–5	-0.05	8%	12 Apr →
stronghold	8–13	-0.09	12%	12 Apr →
overpass	6–13	-0.08	5%	5 Apr →
anubis	3–13	-0.08	32%	5 Apr →
overpass	12–12	-0.05	5%	29 Mar →
ancient	9–13	-0.09	0%	29 Mar →
nuke	13–4	-0.07	0%	29 Mar →
mirage	4–13	-0.06	0%	28 Mar →
inferno	5–13	-0.07	17%	28 Mar →
ancient	3–13	-0.06	16%	28 Mar →
overpass	8–13	-0.04	5%	27 Mar →
anubis	3–13	-0.04	8%	27 Mar →
ancient	13–9	-0.03	11%	27 Mar →
overpass	13–11	-0.05	15%	14 Mar →
office	9–13	-0.02	13%	7 Mar →
vertigo	13–5	0.03	16%	7 Mar →
anubis	6–13	-0.04	25%	7 Mar →
ancient	9–13	-0.07	12%	7 Mar →
inferno	13–7	0.01	9%	28 Feb →
train	10–13	-0.05	16%	28 Feb →
vertigo	13–8	-0.05	7%	28 Feb →
nuke	11–13	-0.07	18%	28 Feb →
train	13–8	-0.06	9%	27 Feb →
warden	13–4	0.01	13%	22 Feb →
overpass	13–4	-0.03	13%	22 Feb →
nuke	12–3	-0.01	14%	22 Feb →
alpine	8–3	-0.00	13%	22 Feb →
vertigo	13–4	-0.00	0%	22 Feb →
overpass	2–13	-0.06	9%	7 Feb →
train	4–13	-0.08	4%	7 Feb →
dust2	13–8	-0.05	11%	7 Feb →
ancient	10–13	-0.03	12%	7 Feb →
overpass	13–7	-0.00	7%	24 Jan →
inferno	1–13	-0.06	9%	24 Jan →
anubis	6–13	-0.08	10%	24 Jan →
vertigo	13–2	-0.05	19%	19 Jan →
ancient	4–13	-0.06	13%	19 Jan →
train	6–13	-0.04	14%	17 Jan →
nuke	13–8	-0.08	10%	17 Jan →
dust2	8–13	-0.06	11%	16 Jan →
ancient	6–13	-0.06	9%	11 Jan →
anubis	13–11	-0.05	11%	11 Jan →
nuke	13–5	-0.04	11%	11 Jan →
overpass	13–5	-0.02	9%	10 Jan →
ancient	13–11	-0.03	14%	10 Jan →
ancient	4–13	-0.10	26%	2 Jan →
golden	10–13	-0.05	11%	2 Jan →
overpass	6–13	-0.06	12%	1 Jan →
overpass	13–3	-0.05	10%	30 Dec →
inferno	11–13	-0.04	5%	25 Dec →
vertigo	13–2	0.05	9%	25 Dec →