MELKSMA — CS2 Stats

SE76561198128485183[U:1:168219455]Steam profile ↗✓ No bans

390Tracked matches37%Win rate2020Tracked since

1,516Hours in CS

CSDB Rating4.8 DevelopingAggressive Rifler

FaceitLevel 7 · 1,364 ELOTop 42.3% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim73

Positioning50

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY49–51Last 10049%Win rateLLLLWWWLWL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

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

Aim7.3

Aggression8.1

Utility5.6

Positioning5.0

Opening Duels2.9

Clutch3.4

Strong CT-side openerEffective flashes

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 b1t 90% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 51% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 594ms 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

Aim7.3

Positioning5.0

Utility5.6

Mechanics6.4

Opening Duels2.9

Win Impact0.6

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time596ms−17ms

first ⅓ avg 613ms → last ⅓ avg 596ms

Headshot accuracy19.3%−1.3%

first ⅓ avg 20.6% → 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

0.11Best rating — cache_b 13–0

13–0Biggest win — cache_b

4Longest win streak

L4Current streak

13–11In matches decided by ≤2 rounds

12Overtime games

Map breakdown

dust2Best map · 67% over 6nukeWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	37	18–19	49%	0.01
inferno	A	14	8–6	57%	0.02
cache_b	A	11	6–5	55%	0.00
vertigo	C	8	3–5	38%	0.00
nuke	D	6	2–4	33%	0.02
dust2	S	6	4–2	67%	-0.00
ancient	C	5	2–3	40%	0.01
train	—	4	3–1	75%	0.02
overpass	—	4	2–2	50%	-0.00
anubis	—	3	1–2	33%	-0.03
cache	—	2	0–2	0%	-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

85,459Lifetime kills

1.01K/D

3,888Matches

39.9%Match win rate

40.7%Headshot %

19.4%Shot accuracy · Top 5% of tracked players

9,531MVPs

1,516Hours (in match)

3,877Bombs planted

976Bombs defused

Most-used weapons

AK-4724,368

AWP15,403

M4A4 / M4A1-S13,200

Desert Eagle6,121

P2000 / USP-S5,359

Glock-182,761

P2502,086

Five-SeveN1,349

P901,336

Knife1,328

Lifetime map wins

3,830dust2

3,218inferno

1,794vertigo

1,473nuke

1,222train

1,005cbble

161office

119aztec

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

Faceit stats

Combat

383Matches

53%Win rate

1.11Avg K/D

79.3ADR

38%Headshot %

Clutches & streaks

37%1v1 clutch win

23%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	21	76%	1.18	17.6
Inferno	12	42%	0.83	13.2
Dust2	6	50%	1.08	16.3
Train	6	67%	1.68	14.3
Overpass	5	40%	1.09	18.8
Nuke	5	80%	1.10	16.4
Vertigo	3	0%	0.74	13.7
Ancient	1	0%	0.71	12.0

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.

18.8%Headshot accuracy

32.3%Accuracy (enemy spotted)

40.5%Spray accuracy

78.8%Counter-strafing

8.3°Preaim

594msReaction time

31.9%T opening success

51.2%CT opening success

0.71Enemies flashed / flash

5.4%Flash assists

15.30HE damage / grenade

10.40Flashes / 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 31.871% — below the 40% mark we flag

Spend your practice time on Nuke

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	8–13	-0.06	26%	27 Jul →
cache	11–13	-0.02	33%	8 May →
nuke	11–13	-0.00	18%	6 Feb →
mirage	10–13	0.09	17%	1 Feb →
mirage	13–10	-0.01	0%	24 Jan →
mirage	13–9	0.01	15%	18 Jan →
mirage	13–11	-0.02	17%	18 Jan →
mirage	7–13	0.01	16%	18 Jan →
inferno	9–6	0.01	22%	16 Jan →
mirage	9–13	-0.02	11%	11 Jan →
mirage	13–5	-0.02	13%	11 Jan →
mirage	13–9	0.08	23%	10 Jan →
cache_b	13–11	-0.01	17%	6 Jan →
nuke	8–13	0.00	17%	5 Jan →
vertigo	11–13	0.00	16%	5 Jan →
mirage	7–13	-0.05	23%	3 Jan →
train	9–13	-0.04	8%	3 Jan →
mirage	4–13	-0.03	40%	28 Dec →
nuke	9–13	0.08	17%	27 Dec →
mirage	13–4	0.06	35%	26 Dec →
mirage	11–13	0.00	10%	25 Dec →
mirage	10–13	-0.01	22%	22 Dec →
anubis	7–13	-0.04	29%	21 Dec →
mirage	16–19	0.03	18%	13 Dec →
cache_b	2–13	-0.02	19%	12 Dec →
anubis	16–14	-0.00	18%	12 Dec →
mirage	14–16	0.03	20%	12 Dec →
mirage	16–14	-0.01	19%	12 Dec →
mirage	10–13	-0.01	21%	12 Dec →
mirage	13–11	0.06	20%	11 Dec →
train	13–11	-0.02	15%	11 Dec →
inferno	13–10	0.06	9%	11 Dec →
ancient	13–5	0.01	32%	10 Dec →
vertigo	8–13	0.04	21%	9 Dec →
mirage	13–8	0.02	15%	9 Dec →
train	13–11	0.09	18%	9 Dec →
cache_b	13–5	0.01	26%	9 Dec →
nuke	10–13	0.02	22%	9 Dec →
mirage	10–13	0.01	10%	9 Dec →
mirage	16–14	-0.04	24%	9 Dec →
dust2	2–13	0.01	17%	9 Dec →
overpass	17–19	0.02	29%	7 Dec →
mirage	13–6	-0.00	21%	7 Dec →
cache_b	13–10	-0.03	29%	7 Dec →
mirage	13–5	-0.01	18%	7 Dec →
ancient	13–5	0.05	9%	7 Dec →
inferno	5–13	-0.04	18%	7 Dec →
cache_b	13–8	0.06	21%	7 Dec →
vertigo	13–4	-0.05	10%	7 Dec →
inferno	4–13	-0.04	11%	6 Dec →
nuke	16–14	-0.03	18%	6 Dec →
vertigo	13–8	0.03	21%	6 Dec →
overpass	19–17	0.00	25%	4 Dec →
inferno	8–13	-0.00	13%	30 Nov →
anubis	11–13	-0.04	8%	30 Nov →
cache_b	8–13	-0.03	12%	30 Nov →
nuke	13–9	0.03	32%	30 Nov →
cache_b	17–19	-0.01	22%	29 Nov →
inferno	13–7	0.10	22%	29 Nov →
cache_b	9–13	0.01	21%	28 Nov →
vertigo	3–13	-0.03	14%	28 Nov →
dust2	13–4	0.03	10%	28 Nov →
vertigo	8–13	-0.04	19%	28 Nov →
mirage	13–9	0.03	12%	28 Nov →
mirage	8–13	0.01	26%	27 Nov →
ancient	7–13	-0.02	21%	25 Nov →
inferno	13–8	0.00	21%	25 Nov →
mirage	5–13	-0.02	12%	25 Nov →
cache_b	13–0	0.11	33%	25 Nov →
ancient	7–13	-0.04	57%	24 Nov →
dust2	13–11	-0.04	9%	24 Nov →
inferno	13–8	0.02	12%	23 Nov →
inferno	10–13	0.05	21%	23 Nov →
mirage	11–13	0.01	12%	23 Nov →
train	13–7	0.05	12%	23 Nov →
dust2	4–13	-0.03	25%	22 Nov →
inferno	13–10	0.01	19%	22 Nov →
mirage	3–13	-0.03	33%	22 Nov →
overpass	10–13	-0.02	12%	22 Nov →
inferno	13–9	0.04	13%	22 Nov →
mirage	13–4	0.07	10%	22 Nov →
inferno	11–13	-0.01	16%	22 Nov →
mirage	4–13	-0.03	21%	22 Nov →
dust2	16–14	0.01	17%	21 Nov →
vertigo	6–13	-0.01	26%	21 Nov →
inferno	7–13	0.04	25%	21 Nov →
mirage	13–9	-0.00	25%	21 Nov →
mirage	7–13	-0.01	29%	21 Nov →
mirage	13–9	-0.02	25%	21 Nov →
cache_b	9–13	0.01	14%	19 Nov →
dust2	13–11	-0.00	18%	19 Nov →
mirage	8–13	-0.04	22%	18 Nov →
mirage	13–7	0.04	9%	18 Nov →
vertigo	13–8	0.09	16%	18 Nov →
ancient	10–13	0.06	22%	17 Nov →
overpass	16–12	-0.01	18%	17 Nov →
mirage	14–16	-0.02	22%	16 Nov →
inferno	13–10	0.03	31%	16 Nov →
cache_b	12–8	-0.08	15%	16 Nov →
mirage	13–2	0.06	27%	16 Nov →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

100 Matches

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