Meatrod & Stank — CS2 Stats

CX76561198259860998[U:1:299595270]Steam profile ↗✓ No bans

911Tracked matches39%Win rate2024Tracked since

916Hours in CS1Hrs last 2 wks

CSDB Rating4.8 Developing

Ladder ranks via Leetify

Performance scores

Aim57

Positioning59

Utility36

0–100 skill scores via Leetify.

Recent form

COLD34–59–7Last 10034%Win rateWLWLWLLLLL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim5.7

Aggression7.3

Utility3.6

Positioning5.9

Opening Duels2.7

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 85% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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. 624ms 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

Aim5.7

Positioning5.9

Utility3.6

Mechanics6.7

Opening Duels2.7

Win Impact1.4

Composite 4.8/10 (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-0.01+0.02

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time632ms−6ms

first ⅓ avg 638ms → last ⅓ avg 632ms

Headshot accuracy13.0%+2.9%

first ⅓ avg 10.2% → last ⅓ avg 13.0%

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

0.13Best rating — warden 13–6

13–3Biggest win — nuke

5Longest win streak

7–6In matches decided by ≤2 rounds

1Overtime games

Map breakdown

overpassBest map · 60% over 5infernoWeakest map · 10% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	22	6–16	27%	-0.01
cache	B	19	9–10	47%	-0.02
nuke	D	15	4–11	27%	0.00
inferno	D	10	1–9	10%	-0.04
anubis	C	8	3–5	38%	0.00
vertigo	D	8	1–7	13%	-0.04
overpass	A	5	3–2	60%	-0.01
train	—	4	2–2	50%	0.01
ancient	—	4	2–2	50%	-0.01
dust2	—	2	1–1	50%	-0.05
alpine	—	1	0–1	0%	-0.06
sanctum	—	1	1–0	100%	0.06
warden	—	1	1–0	100%	0.13

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,980Lifetime kills

0.82K/D

1,762Matches

30.5%Match win rate

41.4%Headshot %

0.0%Shot accuracy

2,312MVPs

470Hours (in match)

1,430Bombs planted

317Bombs defused

Most-used weapons

AK-475,984

M4A4 / M4A1-S4,612

AWP2,370

P2000 / USP-S1,123

Desert Eagle830

MAC-10727

MAG-7724

Glock-18720

MP9688

Galil AR659

Lifetime map wins

1,301vertigo

810nuke

717train

588inferno

559dust2

70ar_shoots

64italy

56ar_baggage

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.

12.9%Headshot accuracy

34.5%Accuracy (enemy spotted)

38.4%Spray accuracy

80.2%Counter-strafing

11.0°Preaim

624msReaction time

41.1%T opening success

40.2%CT opening success

0.55Enemies flashed / flash

1.6%Flash assists

3.62HE damage / grenade

9.32Flashes / 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.

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 12.8977% — below the 15% mark we flag
Aim Training →

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.

10% win rate across 10 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
dust2	13–9	-0.00	21%	27 Aug →
anubis	8–13	0.05	18%	27 Aug →
anubis	13–10	-0.07	13%	31 Jul →
mirage	9–13	0.01	16%	28 Jul →
cache	13–9	-0.02	15%	22 Jul →
inferno	7–9	-0.10	14%	19 Jul →
mirage	5–13	0.00	15%	19 Jul →
mirage	11–13	-0.09	10%	24 Jun →
inferno	6–13	-0.01	13%	20 Jun →
anubis	5–13	-0.00	8%	20 Jun →
cache	4–13	-0.01	7%	18 Jun →
train	13–6	0.04	21%	18 Jun →
train	13–4	0.05	21%	18 Jun →
nuke	11–13	0.08	19%	18 Jun →
dust2	12–12	-0.10	16%	13 Jun →
inferno	4–9	0.04	14%	13 Jun →
vertigo	2–9	-0.06	6%	13 Jun →
mirage	13–4	-0.05	5%	7 Jun →
alpine	2–13	-0.06	10%	7 Jun →
nuke	4–9	-0.03	14%	6 Jun →
inferno	9–4	0.09	19%	6 Jun →
cache	2–13	-0.08	10%	6 Jun →
vertigo	7–9	-0.02	5%	4 Jun →
nuke	8–8	0.09	24%	4 Jun →
inferno	3–9	-0.05	13%	4 Jun →
nuke	5–9	-0.06	7%	4 Jun →
vertigo	4–13	0.03	12%	1 Jun →
nuke	13–11	-0.00	10%	30 May →
sanctum	9–4	0.06	14%	27 May →
mirage	9–13	-0.04	10%	24 May →
nuke	5–13	0.04	5%	24 May →
mirage	5–13	0.01	14%	22 May →
anubis	13–9	0.04	13%	22 May →
overpass	13–7	0.06	16%	21 May →
mirage	3–13	-0.05	10%	20 May →
mirage	1–13	-0.06	4%	19 May →
anubis	13–9	-0.03	10%	18 May →
cache	12–12	-0.04	7%	18 May →
cache	10–13	-0.07	14%	17 May →
mirage	13–11	0.08	17%	15 May →
mirage	10–13	0.00	11%	13 May →
nuke	16–14	0.04	14%	13 May →
mirage	5–13	-0.08	8%	13 May →
cache	13–8	0.05	26%	12 May →
cache	5–13	-0.01	8%	11 May →
overpass	13–8	-0.01	11%	10 May →
cache	13–7	-0.06	6%	10 May →
mirage	9–13	0.04	7%	8 May →
cache	12–12	0.01	9%	7 May →
ancient	13–10	-0.02	6%	6 May →
cache	13–6	-0.05	6%	6 May →
cache	13–11	-0.05	5%	5 May →
cache	13–7	0.02	13%	4 May →
cache	13–11	-0.03	16%	4 May →
cache	4–13	-0.00	5%	2 May →
nuke	3–9	-0.02	8%	2 May →
inferno	2–9	-0.09	25%	2 May →
cache	12–12	-0.03	8%	2 May →
cache	9–1	-0.00	12%	29 Apr →
cache	13–9	-0.05	17%	29 Apr →
cache	1–13	-0.03	23%	29 Apr →
cache	12–12	0.07	16%	29 Apr →
train	12–12	-0.01	16%	27 Apr →
vertigo	7–9	-0.06	20%	27 Apr →
anubis	9–13	0.01	10%	23 Apr →
nuke	13–3	0.06	6%	22 Apr →
nuke	10–13	-0.03	8%	13 Apr →
mirage	13–10	-0.06	2%	11 Apr →
vertigo	13–4	-0.01	11%	11 Apr →
warden	13–6	0.13	8%	11 Apr →
mirage	3–13	-0.04	17%	10 Apr →
inferno	4–9	-0.18	0%	9 Apr →
mirage	9–13	0.00	6%	9 Apr →
inferno	6–13	-0.02	13%	7 Apr →
nuke	11–13	-0.05	10%	6 Apr →
mirage	13–11	-0.04	5%	5 Apr →
anubis	7–13	-0.01	14%	5 Apr →
nuke	7–13	-0.01	3%	5 Apr →
nuke	13–11	-0.02	8%	23 Mar →
nuke	9–13	-0.06	7%	18 Mar →
inferno	5–13	-0.04	9%	16 Mar →
ancient	6–13	-0.02	9%	14 Mar →
mirage	5–13	0.01	6%	12 Mar →
mirage	9–13	0.06	11%	12 Mar →
overpass	2–13	0.02	6%	12 Mar →
train	3–13	-0.05	5%	12 Mar →
ancient	13–10	0.02	9%	9 Mar →
overpass	13–6	-0.00	17%	5 Mar →
overpass	4–13	-0.11	15%	1 Mar →
nuke	10–13	0.02	21%	1 Mar →
ancient	3–13	-0.01	21%	1 Mar →
mirage	9–13	-0.01	13%	27 Feb →
mirage	13–3	-0.02	18%	23 Feb →
mirage	13–8	0.07	22%	21 Feb →
vertigo	3–13	-0.01	10%	20 Feb →
anubis	7–13	0.01	8%	20 Feb →
vertigo	4–9	-0.00	11%	18 Feb →
vertigo	0–9	-0.20	0%	18 Feb →
inferno	4–9	-0.04	19%	18 Feb →
mirage	6–13	-0.05	4%	12 Feb →