Kerwe | murio — CS2 Stats

76561197971492169[U:1:11226441]

1,108Tracked matches57%Win rate2021Tracked since

CSDB Rating4.7 DevelopingClutch Specialist

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanGold Nova I

Ladder ranks via Leetify

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Performance scores

Aim43

Positioning43

Utility31

0–100 skill scores via Leetify.

Recent form

STEADY45–48–7Last 10045%Win rateWWWLWLLLWL

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim4.3

Aggression5.9

Utility3.1

Positioning4.3

Opening Duels1.4

Clutch9.4

Limited utility dependenceReliable in 1v1s

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-duel success, opening-fight frequency.

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. 757ms 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

Aim4.3

Positioning4.3

Utility3.1

Mechanics7.9

Opening Duels1.4

Win Impact7.4

Composite 4.7/10 (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-0.04−0.02

first ⅓ avg -0.02 → last ⅓ avg -0.04

Reaction time750ms−50ms

first ⅓ avg 800ms → last ⅓ avg 750ms

Headshot accuracy11.3%+1.3%

first ⅓ avg 10.0% → last ⅓ avg 11.3%

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

0.08Best rating — dust2 8–1

12–0Biggest win — inferno

5Longest win streak

W3Current streak

8–10In matches decided by ≤2 rounds

6Overtime games

Map breakdown

infernoBest map · 55% over 22ancientWeakest map · 41% over 17

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	30	13–17	43%	-0.01
inferno	A	22	12–10	55%	-0.04
ancient	C	17	7–10	41%	-0.03
nuke	B	10	5–5	50%	-0.04
poseidon	B	8	4–4	50%	0.01
overpass	—	3	1–2	33%	-0.05
cache	—	2	0–2	0%	-0.04
debris	—	2	0–2	0%	-0.07
mirage	—	2	1–1	50%	-0.04
anubis	—	2	1–1	50%	-0.05
vertigo	—	1	1–0	100%	0.01
sanctum	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

7Matches

43%Win rate

0.59Avg K/D

61.4ADR

32%Headshot %

Clutches & streaks

67%1v1 clutch win

50%1v2 clutch win

1Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	3	33%	0.35	6.0
Dust2	2	100%	0.82	10.5
Inferno	2	0%	0.74	12.5

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.

10.6%Headshot accuracy

36.6%Accuracy (enemy spotted)

36.1%Spray accuracy

85.5%Counter-strafing

12.1°Preaim

757msReaction time

34.7%T opening success

36.2%CT opening success

0.45Enemies flashed / flash

3.0%Flash assists

7.79HE damage / grenade

2.55Flashes / 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.

Advanced Mechanics
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.0765° — above the 12° mark we flag
Aim Training →
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 10.6424% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 756.9699ms — above the 700ms mark we flag
Aim Training →

Spend your practice time on Ancient

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

41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–10	-0.03	8%	27 Jul →
inferno	13–6	-0.02	10%	27 Jul →
inferno	16–14	-0.06	7%	13 Jul →
cache	9–13	-0.05	15%	13 Jul →
dust2	13–11	-0.03	12%	13 Jul →
debris	4–9	-0.05	21%	13 Jul →
debris	1–9	-0.10	18%	13 Jul →
dust2	3–13	-0.07	9%	3 Jul →
inferno	12–0	-0.03	19%	3 Jul →
dust2	3–13	-0.02	6%	30 Jun →
nuke	15–15	-0.06	11%	30 Jun →
inferno	1–9	-0.18	22%	30 Jun →
poseidon	9–2	0.02	13%	30 Jun →
dust2	8–13	0.03	16%	23 Jun →
inferno	13–10	0.03	13%	23 Jun →
ancient	13–8	-0.04	10%	22 Jun →
inferno	1–9	-0.27	0%	18 Jun →
ancient	13–2	-0.02	2%	15 Jun →
ancient	13–10	0.05	15%	15 Jun →
dust2	4–13	-0.06	16%	15 Jun →
inferno	13–11	0.01	5%	15 Jun →
dust2	8–13	0.07	14%	8 Jun →
inferno	13–2	0.05	6%	8 Jun →
nuke	9–13	-0.11	10%	5 Jun →
dust2	13–9	-0.05	14%	4 Jun →
ancient	5–13	-0.04	12%	4 Jun →
dust2	10–13	-0.13	0%	4 Jun →
dust2	11–13	-0.07	11%	3 Jun →
dust2	12–12	-0.07	13%	21 May →
inferno	9–13	-0.06	6%	20 May →
inferno	13–11	-0.01	10%	19 May →
ancient	13–9	-0.05	14%	19 May →
inferno	13–1	-0.02	16%	19 May →
inferno	10–13	-0.01	15%	18 May →
nuke	13–8	-0.04	8%	12 May →
dust2	13–6	0.03	19%	12 May →
nuke	11–13	-0.14	9%	11 May →
poseidon	9–5	0.00	15%	11 May →
dust2	13–8	-0.00	14%	5 May →
ancient	8–13	-0.08	9%	5 May →
inferno	11–13	0.03	13%	5 May →
ancient	4–13	-0.02	7%	5 May →
cache	1–13	-0.04	15%	5 May →
nuke	9–3	0.04	20%	5 May →
vertigo	9–5	0.01	12%	4 May →
inferno	9–7	-0.03	20%	3 May →
inferno	13–10	-0.05	15%	29 Apr →
dust2	13–7	0.00	13%	29 Apr →
ancient	8–13	-0.02	23%	23 Apr →
inferno	5–13	-0.06	22%	22 Apr →
nuke	13–10	-0.07	6%	22 Apr →
inferno	9–13	-0.01	4%	21 Apr →
dust2	13–9	-0.04	15%	21 Apr →
poseidon	4–9	0.05	14%	21 Apr →
ancient	9–13	-0.04	11%	15 Apr →
dust2	15–15	-0.04	3%	14 Apr →
nuke	13–9	-0.02	16%	13 Apr →
mirage	5–13	-0.02	7%	9 Apr →
dust2	8–13	-0.01	2%	9 Apr →
ancient	13–6	-0.03	8%	8 Apr →
nuke	13–6	0.03	5%	8 Apr →
dust2	13–7	0.06	14%	8 Apr →
dust2	13–6	-0.05	13%	8 Apr →
dust2	16–13	-0.02	13%	1 Apr →
ancient	11–13	-0.03	12%	31 Mar →
poseidon	4–9	-0.06	9%	31 Mar →
dust2	13–10	-0.02	8%	31 Mar →
dust2	2–13	-0.06	15%	31 Mar →
poseidon	8–8	-0.00	5%	31 Mar →
mirage	13–7	-0.07	10%	30 Mar →
poseidon	8–8	-0.01	10%	18 Mar →
poseidon	9–5	0.01	2%	18 Mar →
nuke	8–8	-0.02	7%	17 Mar →
overpass	6–9	-0.04	10%	17 Mar →
inferno	7–9	0.01	11%	17 Mar →
inferno	13–3	-0.02	4%	11 Mar →
anubis	13–11	-0.04	8%	10 Mar →
overpass	8–13	-0.12	3%	10 Mar →
ancient	9–13	-0.04	8%	10 Mar →
overpass	13–9	-0.01	8%	9 Mar →
dust2	14–16	-0.02	15%	3 Mar →
ancient	10–13	-0.02	19%	3 Mar →
dust2	9–13	0.01	6%	3 Mar →
nuke	4–9	-0.06	32%	3 Mar →
ancient	13–5	-0.02	7%	2 Mar →
inferno	3–13	-0.05	3%	2 Mar →
dust2	7–13	-0.02	7%	2 Mar →
anubis	4–13	-0.06	9%	2 Mar →
dust2	8–1	0.08	16%	25 Feb →
ancient	11–13	-0.09	12%	23 Feb →
ancient	9–13	0.01	11%	11 Feb →
dust2	13–2	0.05	9%	11 Feb →
dust2	10–13	0.01	3%	10 Feb →
dust2	11–13	-0.00	5%	10 Feb →
poseidon	9–5	0.06	7%	9 Feb →
sanctum	8–8	-0.02	18%	9 Feb →
inferno	14–16	-0.07	10%	9 Feb →
dust2	13–11	0.00	15%	4 Feb →
inferno	13–11	-0.06	13%	4 Feb →
dust2	11–13	-0.00	12%	3 Feb →