MeatBat — CS2 Stats

76561197960413766[U:1:148038]✓ No bans

1,988Tracked matches40%Win rate2023Tracked since

CSDB Rating5.6 SolidAggressive Rifler

FaceitLevel 10 · 2,144 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim81

Positioning54

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY53–47Last 10053%Win rateLWWWWWLLLL

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating

Player DNA

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

Aim8.1

Aggression7.3

Utility4.8

Positioning5.4

Opening Duels2.4

Clutch3.0

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 ropz 90% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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.

Reaction time. 579ms 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

Aim8.1

Positioning5.4

Utility4.8

Mechanics6.2

Opening Duels2.4

Win Impact1.7

Composite 5.6/10 (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 rating-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time578ms−10ms

first ⅓ avg 588ms → last ⅓ avg 578ms

Headshot accuracy17.8%−0.2%

first ⅓ avg 18.0% → last ⅓ avg 17.8%

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 — nuke 13–3

13–2Biggest win — dust2

7Longest win streak

10–8In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 75% over 16dust2Weakest map · 30% over 27

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	27	8–19	30%	0.01
inferno	A	19	11–8	58%	-0.00
anubis	A	19	11–8	58%	-0.01
nuke	S	16	12–4	75%	0.01
cache	S	14	10–4	71%	-0.01
ancient	—	3	1–2	33%	-0.02
mirage	—	2	0–2	0%	-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 27). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,918Matches

51%Win rate

1.01Avg K/D

74.0ADR

49%Headshot %

Clutches & streaks

35%1v1 clutch win

18%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	526	53%	1.03	15.5
Anubis	341	54%	1.02	15.3
Nuke	339	55%	1.03	14.8
Inferno	258	47%	1.02	14.7
Mirage	114	37%	0.88	14.3
Train	93	53%	1.05	15.6
Ancient	85	39%	0.93	14.3
Cache	68	51%	0.94	15.1

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.

17.6%Headshot accuracy

40.3%Accuracy (enemy spotted)

44.8%Spray accuracy

78.1%Counter-strafing

10.0°Preaim

579msReaction time

33.9%T opening success

45.6%CT opening success

0.42Enemies flashed / flash

2.3%Flash assists

7.79HE damage / grenade

8.53Flashes / 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 0.423 — 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 33.9028% — below the 40% mark we flag

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

30% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	9–13	0.02	13%	26 Aug →
cache	16–14	0.02	19%	26 Aug →
inferno	13–6	0.05	20%	25 Aug →
anubis	13–8	0.03	26%	20 Aug →
dust2	13–4	0.15	22%	20 Aug →
cache	13–6	-0.00	11%	20 Aug →
mirage	9–13	-0.00	15%	19 Aug →
inferno	10–13	-0.01	15%	18 Aug →
inferno	7–13	-0.08	21%	17 Aug →
dust2	10–13	-0.02	26%	16 Aug →
anubis	11–13	-0.01	17%	15 Aug →
nuke	9–13	-0.01	19%	15 Aug →
inferno	7–13	-0.04	22%	12 Aug →
dust2	10–13	-0.01	24%	12 Aug →
cache	13–8	-0.03	33%	9 Aug →
dust2	9–13	-0.03	13%	9 Aug →
ancient	10–13	0.05	26%	7 Aug →
ancient	14–16	-0.07	12%	5 Aug →
cache	22–20	-0.03	15%	4 Aug →
dust2	6–13	0.01	10%	3 Aug →
inferno	13–9	0.05	23%	31 Jul →
dust2	12–16	-0.05	15%	31 Jul →
nuke	13–10	0.02	20%	31 Jul →
dust2	9–13	-0.04	20%	29 Jul →
inferno	13–8	-0.05	9%	29 Jul →
anubis	13–4	-0.02	13%	28 Jul →
anubis	10–13	0.01	18%	25 Jul →
anubis	2–13	-0.02	18%	22 Jul →
anubis	9–13	-0.07	8%	21 Jul →
nuke	13–5	-0.00	10%	21 Jul →
anubis	13–10	-0.01	24%	18 Jul →
inferno	3–13	-0.06	22%	13 Jul →
dust2	8–13	-0.05	10%	11 Jul →
nuke	13–9	0.00	23%	10 Jul →
dust2	13–9	0.05	34%	9 Jul →
nuke	13–7	0.07	31%	9 Jul →
cache	13–4	-0.00	33%	8 Jul →
anubis	13–11	-0.02	13%	7 Jul →
dust2	13–11	0.05	38%	6 Jul →
ancient	13–7	-0.04	11%	6 Jul →
inferno	11–13	-0.01	23%	4 Jul →
dust2	11–13	-0.04	21%	4 Jul →
cache	13–8	0.01	14%	2 Jul →
anubis	6–13	-0.13	12%	30 Jun →
dust2	10–13	0.10	26%	30 Jun →
dust2	11–13	-0.04	13%	28 Jun →
anubis	13–7	0.06	17%	27 Jun →
inferno	13–10	0.02	11%	27 Jun →
dust2	13–8	0.07	16%	25 Jun →
anubis	12–16	-0.04	22%	25 Jun →
dust2	13–2	0.10	22%	24 Jun →
dust2	11–13	-0.04	15%	23 Jun →
cache	4–13	-0.03	32%	21 Jun →
nuke	8–13	-0.01	21%	20 Jun →
nuke	13–8	-0.05	13%	13 Jun →
anubis	16–14	-0.03	23%	13 Jun →
inferno	13–11	0.02	29%	13 Jun →
anubis	13–6	-0.01	21%	12 Jun →
dust2	7–13	-0.01	26%	12 Jun →
mirage	5–13	-0.08	26%	12 Jun →
anubis	13–8	0.05	24%	12 Jun →
cache	13–7	0.06	22%	12 Jun →
dust2	7–13	0.04	17%	11 Jun →
dust2	13–7	0.06	27%	11 Jun →
inferno	13–10	0.07	18%	11 Jun →
nuke	13–9	0.01	13%	10 Jun →
dust2	14–16	0.02	29%	6 Jun →
anubis	9–13	-0.02	23%	6 Jun →
inferno	19–16	-0.00	11%	6 Jun →
cache	2–13	-0.06	18%	6 Jun →
anubis	13–11	0.05	15%	5 Jun →
nuke	16–14	0.04	21%	5 Jun →
inferno	7–13	-0.02	12%	5 Jun →
anubis	13–5	0.03	20%	5 Jun →
inferno	13–4	0.03	18%	5 Jun →
nuke	7–13	0.02	17%	5 Jun →
nuke	13–3	0.15	27%	4 Jun →
inferno	13–7	-0.02	27%	4 Jun →
dust2	10–13	-0.04	16%	4 Jun →
dust2	6–13	-0.08	10%	3 Jun →
nuke	13–5	0.06	21%	3 Jun →
dust2	13–9	0.01	26%	2 Jun →
cache	9–13	-0.06	24%	1 Jun →
nuke	4–13	-0.09	33%	31 May →
dust2	11–13	-0.00	21%	31 May →
nuke	13–7	0.04	16%	30 May →
anubis	13–9	-0.06	7%	30 May →
cache	13–16	0.02	18%	30 May →
dust2	13–10	0.02	16%	30 May →
dust2	6–13	0.01	18%	30 May →
cache	13–7	-0.00	9%	28 May →
inferno	3–13	-0.08	15%	27 May →
nuke	16–12	0.02	11%	26 May →
inferno	13–9	0.03	31%	25 May →
nuke	13–8	-0.03	14%	25 May →
anubis	9–13	0.05	11%	25 May →
cache	13–11	-0.01	16%	24 May →
dust2	6–13	-0.07	15%	23 May →
cache	13–11	-0.01	14%	23 May →
inferno	13–9	0.03	21%	23 May →