MorphineMakesMeSick — CS2 Stats

76561199784243149[U:1:1823977421]Steam profile ↗✓ No bans

1,092Tracked matches63%Win rate2024Tracked since

1,258Hours in CS76Hrs last 2 wks

CSDB Rating4.8 Developing

Premier CS Rating24,378Top 50% of 819 CSDB-tracked playersPink band · top ~3.7% of ranked players (population est.)

CSDB Leaderboard#3537 of 19054 tracked

FaceitLevel 3 · 672 ELOTop 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim48

Positioning46

Utility15

0–100 skill scores via Leetify.

Recent form

STEADY60–38–2Last 10060%Win rateWLWWLLLLLW

Last 10 vs previous 10: -40pp win rate · +0.00 avg rating

Player DNA

Aim4.8

Aggression5.3

Utility1.5

Positioning4.6

Opening Duels1.2

Clutch3.4

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 76% 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 46% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 619ms 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

Aim4.8

Positioning4.6

Utility1.5

Mechanics6.3

Opening Duels2.0

Win Impact9.4

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.03

first ⅓ avg 0.01 → last ⅓ avg -0.02

Reaction time628ms+64ms

first ⅓ avg 564ms → last ⅓ avg 628ms

Headshot accuracy12.2%−1.9%

first ⅓ avg 14.0% → last ⅓ avg 12.2%

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

0.12Best rating — inferno 6–13

13–1Biggest win — anubis

10Longest win streak

11–11In matches decided by ≤2 rounds

14Overtime games

Map breakdown

anubisBest map · 71% over 7infernoWeakest map · 44% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	37	20–17	54%	0.00
nuke	A	13	8–5	62%	0.02
dust2	S	12	8–4	67%	0.01
cache	S	10	7–3	70%	0.01
inferno	C	9	4–5	44%	-0.00
ancient	A	7	4–3	57%	-0.01
anubis	S	7	5–2	71%	-0.01
office	—	4	3–1	75%	-0.09
vertigo	—	1	1–0	100%	0.12

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

21,424Lifetime kills

0.90K/D

1,312Matches

46.5%Match win rate · Top 50% of Pink band

36.4%Headshot %

0.0%Shot accuracy

3,463MVPs

485Hours (in match)

1,254Bombs planted

214Bombs defused

Most-used weapons

AK-476,765

AWP4,487

M4A4 / M4A1-S3,118

MAC-101,143

MP91,117

Glock-18856

P2000 / USP-S835

Desert Eagle686

Knife451

MAG-7427

Lifetime map wins

1,676nuke

1,671dust2

1,157inferno

301vertigo

164office

136train

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

Faceit stats

Combat

382Matches

47%Win rate

0.94Avg K/D

71.8ADR

36%Headshot %

Clutches & streaks

37%1v1 clutch win

17%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	136	52%	1.00	13.9
Dust2	72	44%	0.95	14.5
Nuke	43	47%	0.98	15.8
Inferno	41	34%	0.82	13.4
Ancient	37	49%	0.77	13.3
Vertigo	19	63%	1.05	15.5
Anubis	15	33%	0.95	14.6
Train	9	33%	0.74	10.0

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.

12.6%Headshot accuracy

29.7%Accuracy (enemy spotted)

33.7%Spray accuracy

78.3%Counter-strafing

10.0°Preaim

619msReaction time

23.4%T opening success

45.9%CT opening success

0.17Enemies flashed / flash

7.8%Flash assists

3.98HE damage / grenade

0.49Flashes / 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 12.6472% — below the 15% mark we flag
Aim Training →
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 0.1652 — 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 23.3663% — 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
office	13–10	-0.02	22%	28 Aug →
cache	10–13	-0.06	14%	24 Aug →
mirage	13–6	0.06	19%	23 Aug →
mirage	13–7	0.02	11%	23 Aug →
nuke	11–13	0.01	15%	22 Aug →
ancient	5–13	-0.09	6%	21 Aug →
mirage	2–13	0.00	10%	19 Aug →
mirage	11–13	-0.07	5%	16 Aug →
inferno	6–13	-0.05	11%	13 Aug →
office	13–3	-0.08	25%	13 Aug →
mirage	3–13	-0.01	5%	12 Aug →
mirage	0–2	-0.07	0%	9 Aug →
nuke	13–10	-0.08	4%	9 Aug →
cache	13–11	-0.07	11%	9 Aug →
anubis	13–7	-0.03	8%	9 Aug →
mirage	13–10	-0.00	15%	9 Aug →
dust2	13–10	0.05	21%	8 Aug →
mirage	8–4	0.00	13%	8 Aug →
ancient	13–7	-0.02	21%	8 Aug →
anubis	13–1	-0.07	0%	8 Aug →
anubis	13–8	0.02	5%	8 Aug →
ancient	13–6	0.01	11%	8 Aug →
cache	11–13	0.01	10%	6 Aug →
office	13–10	-0.08	29%	6 Aug →
inferno	22–18	-0.00	16%	4 Aug →
vertigo	13–4	0.12	24%	2 Aug →
mirage	7–13	0.02	13%	2 Aug →
mirage	13–16	-0.05	5%	2 Aug →
mirage	13–5	0.07	2%	2 Aug →
mirage	13–1	-0.08	8%	2 Aug →
anubis	13–1	-0.03	18%	2 Aug →
nuke	13–8	0.03	8%	2 Aug →
mirage	13–9	-0.01	14%	2 Aug →
mirage	15–15	-0.02	11%	2 Aug →
mirage	13–1	0.04	22%	2 Aug →
nuke	13–5	0.11	8%	2 Aug →
mirage	4–13	0.10	20%	1 Aug →
dust2	11–13	0.03	9%	1 Aug →
dust2	11–13	-0.08	12%	1 Aug →
mirage	16–14	0.04	15%	1 Aug →
cache	13–10	0.05	14%	1 Aug →
dust2	16–12	0.01	14%	1 Aug →
mirage	7–13	0.01	13%	1 Aug →
nuke	10–13	0.01	20%	1 Aug →
ancient	13–8	-0.02	13%	1 Aug →
mirage	10–13	0.01	8%	1 Aug →
mirage	13–1	-0.03	5%	31 Jul →
inferno	3–13	-0.02	17%	31 Jul →
cache	13–11	0.04	15%	30 Jul →
nuke	16–14	0.02	9%	30 Jul →
cache	13–11	-0.02	18%	30 Jul →
mirage	6–13	-0.04	17%	30 Jul →
mirage	11–13	-0.02	18%	30 Jul →
anubis	9–13	-0.00	18%	30 Jul →
inferno	16–13	0.01	16%	30 Jul →
dust2	13–8	0.03	29%	30 Jul →
mirage	16–14	0.04	11%	30 Jul →
ancient	9–13	-0.05	10%	30 Jul →
ancient	13–4	0.00	12%	30 Jul →
mirage	13–6	0.03	12%	28 Jul →
office	8–13	-0.16	0%	28 Jul →
mirage	16–14	0.06	14%	27 Jul →
anubis	13–11	0.03	23%	27 Jul →
mirage	13–11	0.03	12%	27 Jul →
dust2	13–5	-0.03	11%	27 Jul →
nuke	13–8	-0.01	17%	27 Jul →
inferno	13–10	-0.05	9%	27 Jul →
nuke	13–5	-0.05	14%	26 Jul →
mirage	4–13	-0.08	10%	26 Jul →
nuke	6–13	0.03	13%	26 Jul →
dust2	13–6	0.01	16%	26 Jul →
dust2	1–13	-0.13	0%	26 Jul →
cache	13–5	0.01	20%	26 Jul →
mirage	11–13	-0.06	16%	26 Jul →
mirage	8–2	-0.03	14%	26 Jul →
dust2	13–4	0.01	12%	26 Jul →
mirage	13–3	-0.01	14%	26 Jul →
dust2	13–7	0.03	38%	26 Jul →
mirage	13–10	0.02	6%	26 Jul →
mirage	13–11	-0.04	16%	26 Jul →
cache	15–15	0.07	11%	26 Jul →
nuke	13–4	0.05	22%	26 Jul →
nuke	13–16	0.03	6%	26 Jul →
cache	13–11	-0.01	17%	26 Jul →
nuke	13–9	0.03	11%	26 Jul →
inferno	6–13	0.12	7%	25 Jul →
ancient	14–16	0.08	10%	25 Jul →
anubis	10–13	0.01	13%	25 Jul →
inferno	10–13	-0.04	8%	25 Jul →
inferno	2–9	-0.03	16%	25 Jul →
dust2	13–1	0.08	16%	25 Jul →
inferno	13–8	0.05	13%	25 Jul →
mirage	13–6	-0.02	15%	25 Jul →
cache	13–6	0.02	22%	25 Jul →
nuke	11–13	0.03	13%	25 Jul →
mirage	11–13	0.03	8%	25 Jul →
mirage	16–12	0.06	20%	25 Jul →
mirage	13–16	0.06	12%	24 Jul →
mirage	4–13	-0.01	19%	24 Jul →
dust2	5–13	0.09	17%	24 Jul →