Morise — CS2 Stats

76561198112696721[U:1:152430993]Steam profile ↗✓ No bans

1,296Tracked matches57%Win rate2020Tracked since

3,068Hours in CS

CSDB Rating7.2 StrongHybrid Rifler

Premier CS Rating26,446Top 10% of 17,162 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)

CSDB Leaderboard#1919 of 27529 tracked

FaceitLevel 10 · 2,126 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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	Level 10 median
Headshot rate	62.3%	52.0%
Shot accuracy	16.3%	13.7%
Kill/death ratio	1.18	1.08
Match win rate	53.9%	48.8%

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Performance scores

Aim86

Positioning56

Utility66

0–100 skill scores via Leetify.

Recent form

HOT57–43Last 10057%Win rateLWWWWWWLWW

Last 10 vs previous 10: +50pp win rate · +0.02 avg rating

Player DNA

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

Aim8.6

Aggression5.8

Utility6.6

Positioning5.6

Opening Duels2.5

Clutch3.6

Sharp aimerStrong CT-side opener

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 Twistzz 96% playstyle similarity

Most alike: opening-duel success, positioning 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

T-side openings. Opening success drops from 52% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.6

Positioning5.6

Utility6.6

Mechanics7.8

Opening Duels2.7

Win Impact7.2

Composite 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time500ms−73ms

first ⅓ avg 574ms → last ⅓ avg 500ms

Headshot accuracy23.8%+0.3%

first ⅓ avg 23.5% → last ⅓ avg 23.8%

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

0.14Best rating — dust2 13–5

13–1Biggest win — ancient

6Longest win streak

16–5In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 69% over 16infernoWeakest map · 44% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	25	15–10	60%	0.02
ancient	B	19	9–10	47%	0.00
nuke	S	16	11–5	69%	-0.00
cache	A	15	9–6	60%	0.03
inferno	C	9	4–5	44%	-0.01
mirage	B	8	4–4	50%	-0.03
anubis	A	8	5–3	63%	0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

167,753Lifetime kills

1.18K/D · Top 50% of Level 10 players

4,975Matches

53.9%Match win rate · Top 25% of Level 10 players

62.3%Headshot % · Top 25% of Level 10 players

16.3%Shot accuracy · Top 50% of Level 10 players

17,732MVPs

3,068Hours (in match)

6,949Bombs planted

2,206Bombs defused

Most-used weapons

AK-4788,821

M4A4 / M4A1-S25,318

P2000 / USP-S10,839

AWP7,818

Glock-184,814

P2504,615

Desert Eagle4,084

Five-SeveN2,639

Tec-92,517

Knife2,351

Lifetime map wins

10,681dust2

7,183inferno

5,036nuke

4,444cbble

3,070train

566vertigo

127aztec

112office

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

Faceit stats

Combat

1,629Matches

54%Win rate

1.11Avg K/D

75.3ADR

52%Headshot %

Clutches & streaks

38%1v1 clutch win

19%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	214	59%	1.12	15.9
Inferno	165	53%	1.12	16.4
Dust2	165	48%	1.01	15.7
Anubis	147	48%	1.06	15.6
Overpass	99	56%	1.07	15.3
Ancient	82	44%	0.98	15.3
Train	68	60%	1.01	14.9
Mirage	63	56%	1.29	14.6

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.

23.4%Headshot accuracy

34.3%Accuracy (enemy spotted)

40.6%Spray accuracy

84.9%Counter-strafing

9.5°Preaim

504msReaction time

27.9%T opening success

52.0%CT opening success

0.56Enemies flashed / flash

15.1%Flash assists

6.68HE damage / grenade

10.90Flashes / 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
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 27.8935% — 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.

44% win rate across 9 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	9–13	-0.03	27%	24 Aug →
dust2	13–6	0.04	24%	22 Aug →
dust2	13–11	-0.02	21%	22 Aug →
dust2	13–9	0.07	27%	22 Aug →
dust2	13–7	0.08	28%	22 Aug →
dust2	13–3	0.01	21%	22 Aug →
dust2	13–11	-0.06	18%	15 Aug →
ancient	10–13	0.01	19%	14 Aug →
nuke	13–4	0.02	27%	14 Aug →
dust2	13–8	0.01	16%	14 Aug →
inferno	11–13	-0.03	28%	14 Aug →
mirage	8–13	-0.09	18%	14 Aug →
inferno	8–13	-0.07	23%	14 Aug →
nuke	13–3	0.03	23%	11 Aug →
cache	2–13	-0.01	31%	11 Aug →
nuke	10–13	0.02	15%	10 Aug →
ancient	7–13	0.03	27%	10 Aug →
anubis	13–11	0.03	16%	10 Aug →
anubis	4–13	-0.01	25%	10 Aug →
nuke	13–7	0.02	38%	10 Aug →
ancient	4–13	-0.05	20%	10 Aug →
cache	10–13	0.04	36%	10 Aug →
ancient	13–16	-0.04	14%	8 Aug →
dust2	7–13	0.04	20%	7 Aug →
nuke	13–7	0.03	34%	7 Aug →
cache	13–2	0.03	19%	7 Aug →
inferno	13–11	0.00	26%	7 Aug →
dust2	13–10	0.04	20%	7 Aug →
ancient	13–1	0.05	31%	7 Aug →
dust2	13–11	-0.03	20%	6 Aug →
dust2	9–13	0.03	25%	5 Aug →
ancient	13–8	0.05	21%	5 Aug →
mirage	13–11	-0.02	28%	5 Aug →
nuke	3–13	-0.07	24%	5 Aug →
cache	13–11	0.01	22%	5 Aug →
anubis	7–13	0.05	32%	5 Aug →
anubis	13–11	0.03	28%	4 Aug →
ancient	7–13	0.02	24%	4 Aug →
mirage	7–13	-0.06	24%	4 Aug →
dust2	13–3	0.13	28%	4 Aug →
mirage	8–13	-0.03	24%	4 Aug →
anubis	7–13	-0.00	23%	3 Aug →
nuke	6–13	0.01	25%	3 Aug →
cache	6–13	-0.04	35%	3 Aug →
inferno	13–9	0.03	30%	3 Aug →
cache	13–9	0.04	31%	29 Jul →
dust2	6–13	0.03	27%	29 Jul →
cache	13–11	0.09	36%	28 Jul →
dust2	13–5	0.14	38%	28 Jul →
inferno	13–8	-0.03	11%	26 Jul →
cache	13–6	0.07	33%	26 Jul →
mirage	13–10	-0.07	21%	26 Jul →
cache	13–11	0.06	33%	26 Jul →
ancient	13–16	-0.06	20%	26 Jul →
nuke	9–13	-0.05	27%	26 Jul →
inferno	8–13	0.05	20%	26 Jul →
nuke	13–9	-0.00	21%	26 Jul →
inferno	9–13	-0.07	26%	21 Jul →
dust2	6–13	0.01	19%	19 Jul →
dust2	4–13	-0.02	43%	19 Jul →
ancient	13–6	-0.06	22%	19 Jul →
cache	9–13	0.03	38%	19 Jul →
ancient	13–10	0.06	19%	18 Jul →
anubis	13–6	0.03	18%	18 Jul →
ancient	13–8	-0.03	11%	18 Jul →
ancient	13–10	-0.01	13%	17 Jul →
nuke	13–11	0.03	30%	17 Jul →
ancient	14–16	-0.07	16%	17 Jul →
ancient	4–13	0.01	20%	15 Jul →
cache	13–9	0.01	34%	15 Jul →
anubis	13–6	0.02	41%	14 Jul →
dust2	13–10	-0.01	31%	13 Jul →
ancient	11–13	0.08	22%	13 Jul →
anubis	16–12	0.14	31%	13 Jul →
dust2	13–9	0.10	33%	13 Jul →
ancient	16–14	-0.00	19%	13 Jul →
ancient	6–13	0.02	15%	13 Jul →
dust2	8–13	0.02	16%	13 Jul →
nuke	13–5	-0.03	19%	11 Jul →
cache	3–13	-0.05	9%	11 Jul →
dust2	11–13	-0.04	22%	11 Jul →
dust2	9–13	-0.02	26%	11 Jul →
dust2	13–9	0.01	15%	11 Jul →
nuke	13–11	-0.02	23%	10 Jul →
inferno	9–13	0.00	10%	10 Jul →
nuke	16–14	-0.00	30%	10 Jul →
mirage	6–13	-0.04	32%	10 Jul →
cache	9–13	-0.02	27%	10 Jul →
mirage	13–4	0.03	36%	10 Jul →
dust2	10–13	-0.02	25%	8 Jul →
nuke	19–16	0.02	25%	7 Jul →
cache	13–3	0.14	34%	7 Jul →
ancient	13–11	0.00	16%	6 Jul →
dust2	13–9	0.05	26%	6 Jul →
cache	13–9	-0.00	11%	6 Jul →
nuke	11–13	0.00	14%	6 Jul →
nuke	16–14	-0.04	20%	6 Jul →
mirage	13–8	0.04	24%	3 Jul →
ancient	13–5	0.04	37%	3 Jul →
inferno	13–4	0.06	21%	3 Jul →