Deli Meat Misthios — CS2 Stats

GB76561198100314191[U:1:140048463]Steam profile ↗✓ No bans

544Tracked matches52%Win rate2023Tracked since

1,298Hours in CS4Hrs last 2 wks

CSDB Rating4.1 Developing

Premier CS Rating20,893Top 50% of 44,590 CSDB-tracked playersPink band · top ~7.5% of ranked players (population est.)

CSDB Leaderboard#18831 of 56805 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=9,423), 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	Pink band median	Red band median	vs Red band
Headshot rate	31.6%	47.1%	49.8%	18.2% short
Shot accuracy	13.6%	12.8%	13.4%	meets
Kill/death ratio	0.97	1.08	1.12	0.16 short
Match win rate	47.2%	46.7%	48.6%	1.4% short

This profile matches the typical Red band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim43

Positioning46

Utility28

0–100 skill scores via Leetify.

Recent form

STEADY50–42–8Last 10050%Win rateLLTWWWWWLW

Last 10 vs previous 10: +40pp win rate · +0.00 avg rating

Player DNA

Aim4.3

Aggression5.4

Utility2.8

Positioning4.6

Opening Duels1.5

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 77% 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. 629ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.3

Positioning4.6

Utility2.8

Mechanics4.4

Opening Duels1.5

Win Impact5.6

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.02

Reaction time620ms+13ms

first ⅓ avg 608ms → last ⅓ avg 620ms

Headshot accuracy13.3%−0.4%

first ⅓ avg 13.7% → last ⅓ avg 13.3%

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

0.11Best rating — cache 13–3

13–3Biggest win — cache

6Longest win streak

L2Current streak

6–6In matches decided by ≤2 rounds

3Overtime games

Map breakdown

nukeBest map · 67% over 6infernoWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	28	18–10	64%	-0.01
anubis	B	14	7–7	50%	-0.01
mirage	C	14	5–9	36%	-0.01
ancient	C	12	5–7	42%	0.00
dust2	C	9	4–5	44%	-0.01
inferno	D	7	2–5	29%	-0.01
nuke	S	6	4–2	67%	0.01
office	D	6	2–4	33%	-0.02
overpass	—	2	1–1	50%	0.03
train	—	2	2–0	100%	0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,747Lifetime kills

0.97K/D

1,716Matches

47.2%Match win rate · Top 50% of Pink band

31.6%Headshot %

13.6%Shot accuracy · Top 50% of Pink band

3,366MVPs

769Hours (in match)

2,488Bombs planted

355Bombs defused

Most-used weapons

AK-478,425

M4A4 / M4A1-S5,214

AWP3,199

P2000 / USP-S1,713

PP-Bizon1,402

Glock-181,259

Desert Eagle1,137

Nova871

Five-SeveN841

Tec-9804

Lifetime map wins

2,623dust2

2,574inferno

690nuke

606cbble

358train

186office

162vertigo

44italy

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.

13.1%Headshot accuracy

31.6%Accuracy (enemy spotted)

34.7%Spray accuracy

69.7%Counter-strafing

10.3°Preaim

629msReaction time

41.7%T opening success

30.3%CT opening success

0.34Enemies flashed / flash

4.2%Flash assists

5.91HE damage / grenade

2.36Flashes / 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 13.1131% — 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 0.3379 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 30.3153% — 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.

29% win rate across 7 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
overpass	10–13	-0.04	24%	29 Aug →
dust2	6–13	-0.02	12%	29 Aug →
anubis	12–12	-0.03	20%	26 Aug →
nuke	13–6	-0.01	14%	26 Aug →
nuke	13–9	-0.02	4%	26 Aug →
anubis	13–5	0.03	10%	26 Aug →
cache	13–9	-0.00	13%	14 Aug →
anubis	13–7	0.05	9%	14 Aug →
ancient	9–13	-0.07	13%	8 Aug →
dust2	13–11	-0.08	13%	8 Aug →
cache	9–13	0.00	15%	8 Aug →
anubis	13–10	0.01	15%	8 Aug →
mirage	4–13	0.02	29%	8 Aug →
dust2	7–13	-0.09	8%	1 Aug →
inferno	12–12	-0.01	11%	1 Aug →
dust2	7–13	0.00	12%	1 Aug →
cache	6–13	-0.00	10%	1 Aug →
office	11–13	-0.05	11%	1 Aug →
mirage	12–12	-0.03	13%	29 Jul →
mirage	13–10	-0.04	6%	28 Jul →
ancient	6–13	-0.03	13%	26 Jul →
anubis	13–7	-0.06	15%	26 Jul →
inferno	5–13	-0.07	16%	26 Jul →
dust2	13–5	0.03	12%	25 Jul →
cache	13–3	0.00	17%	25 Jul →
nuke	8–13	0.00	17%	18 Jul →
cache	13–9	-0.07	10%	18 Jul →
cache	13–4	0.08	12%	18 Jul →
mirage	13–4	0.03	15%	18 Jul →
anubis	3–13	-0.08	7%	12 Jul →
cache	13–11	-0.03	8%	12 Jul →
ancient	13–8	0.03	19%	11 Jul →
mirage	13–5	0.00	18%	11 Jul →
cache	13–11	-0.06	18%	11 Jul →
cache	7–13	-0.03	11%	10 Jul →
dust2	7–13	-0.04	11%	27 Jun →
mirage	13–7	0.04	13%	27 Jun →
ancient	13–7	0.03	15%	27 Jun →
nuke	9–13	0.01	16%	27 Jun →
inferno	12–12	-0.04	24%	27 Jun →
ancient	5–1	-0.00	17%	27 Jun →
mirage	13–11	-0.04	17%	27 Jun →
dust2	13–11	0.00	11%	27 Jun →
anubis	13–10	-0.02	13%	27 Jun →
cache	13–10	-0.03	14%	27 Jun →
inferno	13–9	-0.03	3%	25 Jun →
anubis	10–13	-0.10	6%	13 Jun →
ancient	10–13	0.01	13%	13 Jun →
mirage	11–13	0.04	13%	7 Jun →
cache	13–9	0.01	11%	4 Jun →
cache	1–13	-0.03	8%	4 Jun →
ancient	8–13	-0.03	6%	3 Jun →
anubis	13–7	0.01	11%	3 Jun →
anubis	13–16	0.03	9%	1 Jun →
inferno	8–13	-0.01	14%	1 Jun →
mirage	13–16	-0.05	21%	24 May →
mirage	7–13	-0.10	15%	24 May →
dust2	13–8	0.06	16%	24 May →
anubis	9–13	-0.00	13%	24 May →
cache	13–9	-0.05	13%	24 May →
cache	3–13	-0.05	18%	15 May →
mirage	6–13	-0.06	14%	14 May →
cache	12–12	0.06	22%	11 May →
cache	5–13	-0.03	23%	11 May →
cache	13–5	-0.01	18%	11 May →
cache	8–13	-0.05	15%	8 May →
cache	13–7	0.01	13%	8 May →
cache	8–2	-0.00	9%	6 May →
cache	13–3	0.11	21%	6 May →
cache	11–13	0.04	22%	5 May →
cache	13–7	0.01	14%	5 May →
cache	4–13	0.01	7%	4 May →
cache	13–10	-0.04	21%	4 May →
cache	13–6	0.02	11%	1 May →
cache	13–5	-0.02	3%	30 Apr →
cache	13–6	-0.03	13%	30 Apr →
ancient	7–13	0.00	13%	25 Apr →
ancient	11–13	-0.01	16%	25 Apr →
train	13–5	0.04	12%	25 Apr →
mirage	9–13	-0.01	14%	25 Apr →
mirage	11–13	-0.01	10%	25 Apr →
office	13–7	-0.02	0%	25 Apr →
office	13–10	0.01	4%	25 Apr →
office	11–13	0.04	9%	25 Apr →
mirage	12–12	0.02	12%	24 Apr →
inferno	12–12	0.05	10%	24 Apr →
ancient	10–13	0.02	21%	24 Apr →
train	13–10	0.09	8%	24 Apr →
ancient	16–13	0.03	8%	18 Apr →
inferno	13–10	0.02	35%	18 Apr →
anubis	7–13	0.01	16%	18 Apr →
overpass	13–4	0.11	11%	18 Apr →
office	6–13	-0.01	20%	18 Apr →
office	10–13	-0.09	12%	18 Apr →
anubis	13–11	0.03	19%	11 Apr →
ancient	13–6	0.04	8%	11 Apr →
dust2	12–12	0.01	14%	11 Apr →
nuke	9–0	0.01	28%	11 Apr →
anubis	9–13	-0.04	10%	10 Apr →
nuke	13–6	0.04	22%	10 Apr →