food_is_ — CS2 Stats

76561198385028378[U:1:424762650]Steam profile ↗

374Tracked matches77%Win rate2025Tracked since

498Hours in CS15Hrs last 2 wks

CSDB Rating6.2 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim77

Positioning62

Utility40

0–100 skill scores via Leetify.

Recent form

STEADY54–26–20Last 10054%Win rateWTWLLTWWWL

Last 10 vs previous 10: -40pp win rate · -0.04 avg rating

Player DNA

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

Aim7.7

Aggression9.0

Utility4.0

Positioning6.2

Opening Duels3.0

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 b1t 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower 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

Areas to improve

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

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

Aim7.7

Positioning6.2

Utility4.0

Mechanics5.1

Opening Duels3.0

Win Impact10.0

Composite 6.2/10 (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 rating0.02+0.02

first ⅓ avg 0.00 → last ⅓ avg 0.02

Reaction time523ms−68ms

first ⅓ avg 591ms → last ⅓ avg 523ms

Headshot accuracy20.6%+6.5%

first ⅓ avg 14.1% → last ⅓ avg 20.6%

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

0.12Best rating — office 7–13

13–0Biggest win — office

8Longest win streak

8–2In matches decided by ≤2 rounds

Map breakdown

Map	Grade	Played	Record	Win rate	Avg rating
office	A	90	51–39	57%	0.01
mirage	—	4	1–3	25%	-0.02
train	—	2	2–0	100%	0.02
inferno	—	1	0–1	0%	-0.01
shelter	—	1	0–1	0%	-0.08
cache	—	1	0–1	0%	-0.06
alpine	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Lifetime stats

15,912Lifetime kills

2.16K/D · Top 1% of tracked players

666Matches

55.3%Match win rate · Top 5% of tracked players

53.2%Headshot % · Top 25% of tracked players

1.3%Shot accuracy

2,858MVPs

218Hours (in match)

1,167Bombs planted

276Bombs defused

Most-used weapons

AK-474,451

M4A4 / M4A1-S2,231

AWP1,854

Desert Eagle1,151

MP9796

Glock-18687

P2000 / USP-S608

Dual Berettas471

Galil AR438

Tec-9406

Lifetime map wins

2,761office

1,878dust2

448train

167inferno

161nuke

48italy

42vertigo

2cbble

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

Skill profile

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

20.6%Headshot accuracy

38.3%Accuracy (enemy spotted)

37.5%Spray accuracy

73.1%Counter-strafing

10.9°Preaim

511msReaction time

43.1%T opening success

40.6%CT opening success

0.33Enemies flashed / flash

7.0%Flash assists

8.44HE damage / grenade

3.60Flashes / 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.

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 0.3281 — below the 0.5 mark we flag
Grenade Lineups →

Recent matches

Map	Score	Rating	HS%	Date
office	13–11	0.02	23%	28 Aug →
office	12–12	0.03	15%	25 Aug →
office	13–10	0.04	26%	25 Aug →
office	9–13	-0.00	14%	24 Aug →
office	6–13	-0.03	16%	24 Aug →
office	12–12	0.07	22%	23 Aug →
office	13–9	0.01	23%	22 Aug →
office	13–6	0.04	18%	22 Aug →
office	13–2	-0.01	13%	22 Aug →
office	9–13	0.00	20%	20 Aug →
office	13–7	0.07	27%	20 Aug →
office	12–12	0.04	27%	15 Aug →
office	13–6	0.03	16%	15 Aug →
office	13–4	0.06	17%	14 Aug →
office	13–3	0.07	15%	14 Aug →
office	13–4	0.08	21%	14 Aug →
office	13–7	0.09	28%	13 Aug →
office	13–11	0.04	11%	13 Aug →
office	13–3	0.11	29%	13 Aug →
office	13–11	-0.01	16%	12 Aug →
office	5–13	-0.05	15%	6 Aug →
office	12–12	0.04	24%	2 Aug →
office	13–4	-0.08	28%	28 Jul →
office	13–3	0.12	20%	28 Jul →
inferno	6–13	-0.01	44%	28 Jul →
office	11–13	-0.04	13%	20 Jul →
office	13–2	0.04	26%	20 Jul →
office	6–1	-0.10	18%	20 Jul →
office	13–0	0.05	33%	20 Jul →
office	13–5	-0.01	8%	20 Jul →
office	13–3	0.00	21%	18 Jul →
office	13–11	-0.01	13%	17 Jul →
office	13–2	0.03	21%	17 Jul →
office	9–13	0.05	44%	17 Jul →
office	12–12	-0.10	18%	12 Jul →
shelter	5–13	-0.08	18%	9 Jul →
office	12–12	0.00	23%	9 Jul →
office	12–12	0.03	23%	1 Jul →
office	13–2	0.04	22%	28 Jun →
office	13–9	-0.02	21%	25 Jun →
office	12–12	-0.05	12%	25 Jun →
office	13–8	0.02	16%	25 Jun →
mirage	4–13	0.02	13%	24 Jun →
office	13–2	0.08	25%	24 Jun →
office	4–13	-0.03	29%	23 Jun →
office	13–9	0.03	37%	16 Jun →
office	13–1	0.05	36%	13 Jun →
office	11–3	0.01	15%	7 Jun →
train	13–11	-0.01	14%	17 May →
office	12–12	0.02	23%	16 May →
office	13–10	0.06	17%	16 May →
cache	3–13	-0.06	21%	8 May →
office	6–13	-0.03	19%	8 May →
office	12–12	-0.01	35%	8 May →
office	6–13	-0.02	11%	3 May →
mirage	9–13	-0.03	20%	3 May →
office	13–7	0.04	10%	3 May →
office	13–3	-0.06	23%	1 May →
office	13–7	-0.02	11%	29 Apr →
mirage	12–12	-0.03	14%	27 Apr →
office	13–0	-0.00	17%	27 Apr →
train	13–6	0.05	11%	26 Apr →
office	13–11	-0.03	12%	26 Apr →
mirage	13–3	-0.03	19%	25 Apr →
office	5–13	-0.01	15%	25 Apr →
office	13–5	0.02	14%	25 Apr →
office	12–12	-0.01	14%	23 Apr →
office	8–13	0.03	9%	23 Apr →
office	6–13	-0.05	15%	23 Apr →
office	13–7	0.05	17%	20 Apr →
office	9–13	-0.01	13%	19 Apr →
office	10–13	-0.01	11%	18 Apr →
office	10–13	-0.07	14%	17 Apr →
office	13–1	0.03	12%	17 Apr →
office	8–13	0.08	12%	16 Apr →
office	12–12	0.03	11%	12 Apr →
office	12–12	-0.02	23%	9 Apr →
office	12–12	0.02	6%	8 Apr →
office	8–3	0.02	40%	8 Apr →
office	13–6	0.02	10%	3 Apr →
office	13–9	0.05	13%	3 Apr →
office	13–11	0.02	17%	1 Apr →
office	12–12	-0.07	10%	1 Apr →
office	12–12	-0.06	7%	28 Mar →
office	4–3	-0.03	8%	28 Mar →
office	0–13	-0.00	25%	17 Mar →
office	11–13	0.01	11%	17 Mar →
office	13–1	-0.02	8%	14 Mar →
office	12–12	-0.06	16%	14 Mar →
office	7–13	0.12	18%	13 Mar →
office	5–2	-0.09	0%	13 Mar →
office	6–13	-0.04	13%	13 Mar →
office	13–8	0.01	7%	13 Mar →
office	7–0	0.03	14%	13 Mar →
office	13–6	0.07	12%	11 Mar →
office	12–12	-0.00	20%	26 Feb →
office	12–12	0.06	16%	22 Feb →
office	13–4	-0.00	20%	22 Feb →
alpine	8–13	-0.06	21%	21 Feb →
office	13–8	0.06	17%	21 Feb →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

100 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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