Metamate — CS2 Stats

US76561198120459896[U:1:160194168]Steam profile ↗✓ No bans

202Tracked matches59%Win rate2021Tracked since

839Hours in CS

CSDB Rating5.5 SolidPassive Rifler

WingmanMaster Guardian Elite

Ladder ranks via Leetify

Performance scores

Aim79

Positioning49

Utility4

0–100 skill scores via Leetify.

Recent form

STEADY52–46–2Last 10052%Win rateLLWLWLLWWW

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim7.9

Aggression4.3

Utility0.4

Positioning4.9

Opening Duels0.9

Clutch0.0

Strong CT-side openerLimited 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 NiKo 80% playstyle similarity

Most alike: opening-fight frequency, 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.

T-side openings. Opening success drops from 41% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 631ms 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

Aim7.9

Positioning4.9

Utility0.4

Mechanics7.7

Opening Duels1.4

Win Impact7.9

Composite 5.5/10 (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+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time648ms+29ms

first ⅓ avg 619ms → last ⅓ avg 648ms

Headshot accuracy19.3%−2.7%

first ⅓ avg 22.0% → last ⅓ avg 19.3%

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

0.14Best rating — office 8–13

13–1Biggest win — inferno

5Longest win streak

L2Current streak

9–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

trainBest map · 83% over 6dust2Weakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	21	10–11	48%	0.01
inferno	S	20	15–5	75%	0.02
ancient	C	19	7–12	37%	-0.00
dust2	D	8	2–6	25%	0.01
nuke	D	7	2–5	29%	0.02
overpass	S	7	5–2	71%	0.02
cache	B	6	3–3	50%	-0.00
train	S	6	5–1	83%	0.03
anubis	—	4	2–2	50%	-0.03
office	—	1	0–1	0%	0.14
vertigo	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

49,594Lifetime kills

1.16K/D · Top 50% of tracked players

2,057Matches

37.6%Match win rate

36.6%Headshot %

16.0%Shot accuracy · Top 25% of tracked players

5,297MVPs

839Hours (in match)

1,437Bombs planted

491Bombs defused

Most-used weapons

AK-4722,433

M4A4 / M4A1-S9,049

AWP3,503

P902,307

P2000 / USP-S1,919

Glock-181,598

UMP-451,346

FAMAS804

Tec-9798

Desert Eagle730

Lifetime map wins

5,802dust2

3,236inferno

503train

288cbble

233nuke

164vertigo

57office

53lake

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

Faceit stats

Combat

22Matches

55%Win rate

1.39Avg K/D

98.3ADR

42%Headshot %

Clutches & streaks

20%1v1 clutch win

43%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	3	100%	1.87	20.7
Dust2	3	67%	1.57	22.7
Ancient	3	33%	1.82	20.0
Cache	2	50%	1.34	12.0
Vertigo	1	0%	1.14	25.0
Nuke	1	0%	0.96	23.0
Inferno	1	100%	1.53	23.0

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.

18.6%Headshot accuracy

37.4%Accuracy (enemy spotted)

46.1%Spray accuracy

84.6%Counter-strafing

10.2°Preaim

631msReaction time

26.0%T opening success

41.5%CT opening success

0.03Enemies flashed / flash

0.0%Flash assists

2.01HE damage / grenade

0.21Flashes / 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 0.0298 — 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 25.9805% — 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.

25% win rate across 8 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
cache	1–9	-0.02	22%	11 Aug →
dust2	12–16	-0.02	13%	9 Aug →
mirage	13–4	-0.02	15%	9 Aug →
cache	8–13	-0.04	17%	9 Aug →
inferno	13–6	0.09	19%	9 Aug →
mirage	9–13	-0.01	16%	3 Aug →
dust2	8–13	0.05	14%	3 Aug →
cache	13–9	0.00	16%	2 Aug →
inferno	13–6	0.01	13%	2 Aug →
mirage	13–7	0.01	25%	1 Aug →
nuke	10–13	0.06	16%	1 Aug →
inferno	13–8	0.06	15%	1 Aug →
anubis	13–8	0.02	25%	1 Aug →
ancient	6–13	-0.04	23%	1 Aug →
cache	13–11	-0.03	14%	1 Aug →
train	13–9	0.09	12%	1 Aug →
inferno	13–9	0.03	35%	13 Jun →
cache	13–7	0.04	25%	13 Jun →
dust2	13–2	0.09	13%	10 May →
cache	5–13	0.04	17%	10 May →
ancient	11–13	-0.04	15%	5 Aug →
inferno	8–13	-0.06	24%	5 Aug →
ancient	15–15	-0.01	21%	5 Aug →
inferno	13–10	0.04	21%	3 Aug →
dust2	8–13	-0.05	18%	1 Aug →
train	13–9	0.03	24%	31 Jul →
overpass	13–10	-0.01	15%	31 Jul →
mirage	11–13	-0.00	21%	31 Jul →
overpass	13–5	0.06	16%	31 Jul →
overpass	13–6	0.08	19%	31 Jul →
inferno	13–9	0.05	24%	26 Jul →
mirage	13–11	0.05	22%	26 Jul →
mirage	4–13	-0.02	35%	20 Jul →
inferno	13–11	0.02	13%	20 Jul →
ancient	10–13	-0.08	23%	20 Jul →
mirage	9–13	0.01	10%	20 Jul →
ancient	13–4	0.06	23%	20 Jul →
mirage	11–13	0.03	35%	20 Jul →
mirage	3–13	0.08	23%	20 Jul →
mirage	13–5	-0.03	21%	20 Jul →
inferno	13–5	0.07	25%	20 Jul →
mirage	13–6	-0.03	26%	20 Jul →
overpass	1–13	-0.05	25%	20 Jul →
nuke	5–13	-0.01	26%	19 Jul →
overpass	5–13	-0.02	10%	19 Jul →
ancient	11–13	-0.01	21%	19 Jul →
inferno	4–13	-0.01	20%	19 Jul →
inferno	13–6	0.04	26%	17 Jul →
overpass	16–14	-0.03	18%	17 Jul →
mirage	13–8	0.01	23%	17 Jul →
ancient	13–11	0.00	21%	17 Jul →
nuke	9–13	-0.06	13%	17 Jul →
ancient	10–13	-0.02	31%	14 Jul →
mirage	13–9	0.03	26%	14 Jul →
mirage	13–8	0.00	33%	14 Jul →
ancient	11–13	0.03	21%	14 Jul →
train	13–10	0.01	21%	13 Jul →
ancient	13–10	-0.01	29%	13 Jul →
inferno	9–4	0.04	26%	13 Jul →
ancient	13–11	0.07	15%	13 Jul →
inferno	8–13	-0.06	20%	13 Jul →
ancient	7–13	0.02	20%	13 Jul →
mirage	16–12	-0.01	32%	13 Jul →
anubis	13–8	0.01	19%	13 Jul →
inferno	14–16	0.01	18%	12 Jul →
train	16–14	-0.00	33%	12 Jul →
mirage	16–12	0.07	22%	12 Jul →
inferno	13–11	0.01	24%	2 Jul →
ancient	13–7	0.04	15%	2 Jul →
anubis	10–13	-0.06	14%	2 Jul →
ancient	13–9	0.00	30%	1 Jul →
nuke	4–13	-0.00	16%	1 Jul →
train	13–7	0.10	31%	1 Jul →
nuke	9–13	0.02	33%	1 Jul →
mirage	7–13	-0.00	24%	1 Jul →
anubis	7–13	-0.08	16%	30 Jun →
ancient	16–14	-0.01	19%	30 Jun →
ancient	15–15	-0.02	18%	30 Jun →
train	8–13	-0.03	18%	30 Jun →
ancient	11–13	0.01	11%	30 Jun →
dust2	2–13	-0.07	21%	30 Jun →
inferno	13–10	-0.04	17%	30 Jun →
ancient	8–13	-0.06	20%	29 Jun →
nuke	13–10	0.04	25%	24 Jun →
inferno	9–13	-0.02	16%	1 Jun →
ancient	7–13	0.02	32%	1 Jun →
mirage	6–13	0.01	22%	27 Sept →
mirage	1–6	0.04	38%	25 Aug →
dust2	10–13	0.02	30%	24 Aug →
mirage	3–13	-0.07	28%	21 Jul →
inferno	13–1	0.08	8%	12 Jul →
office	8–13	0.14	30%	12 Jul →
nuke	13–10	0.07	16%	8 Jul →
inferno	13–5	0.03	24%	8 Jul →
overpass	13–4	0.12	20%	8 Jul →
dust2	13–6	-0.00	25%	25 Jun →
vertigo	13–7	0.07	29%	23 May →
dust2	6–13	0.03	19%	14 May →
mirage	9–13	-0.00	18%	14 May →
inferno	13–9	0.00	19%	6 May →