melbie law — CS2 Stats

BR76561198392022780[U:1:431757052]Steam profile ↗✓ No bans

1,165Tracked matches45%Win rate2024Tracked since

CSDB Rating4.6 Developing

Premier CS Rating10,022Blue band · top ~54.8% of ranked players (population est.)

CSDB Leaderboard#14800 of 20187 tracked

FaceitLevel 4 · 1,033 ELOTop 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim46

Positioning51

Utility57

0–100 skill scores via Leetify.

Recent form

COLD46–50–4Last 10046%Win rateLLLWLLLLWL

Last 10 vs previous 10: -20pp win rate · +0.00 avg rating

Player DNA

Aim4.6

Aggression6.4

Utility5.7

Positioning5.1

Opening Duels2.2

Clutch2.4

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 Twistzz 85% 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

T-side openings. Opening success drops from 53% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 630ms 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

Aim4.6

Positioning5.1

Utility5.7

Mechanics6.2

Opening Duels2.9

Win Impact3.3

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time638ms+0ms

first ⅓ avg 638ms → last ⅓ avg 638ms

Headshot accuracy17.7%−0.5%

first ⅓ avg 18.2% → last ⅓ avg 17.7%

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 — cache 13–8

13–0Biggest win — mirage

6Longest win streak

L3Current streak

7–13In matches decided by ≤2 rounds

9Overtime games

Map breakdown

mirageBest map · 54% over 13ancientWeakest map · 18% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	24	11–13	46%	-0.01
inferno	B	22	10–12	45%	-0.01
mirage	B	13	7–6	54%	-0.00
ancient	D	11	2–9	18%	-0.02
cache	B	11	5–6	45%	0.02
nuke	B	11	5–6	45%	-0.02
anubis	—	3	3–0	100%	0.01
vertigo	—	2	1–1	50%	0.01
overpass	—	2	1–1	50%	-0.01
office	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

255Matches

50%Win rate

0.90Avg K/D

70.9ADR

50%Headshot %

Clutches & streaks

32%1v1 clutch win

18%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	62	48%	0.93	13.9
Inferno	61	54%	0.89	14.1
Nuke	48	50%	0.99	14.8
Mirage	28	61%	0.90	13.0
Overpass	15	47%	0.72	12.5
Anubis	12	42%	0.89	13.4
Train	10	40%	0.58	11.3
Ancient	9	22%	0.84	15.3

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.

17.8%Headshot accuracy

28.5%Accuracy (enemy spotted)

27.8%Spray accuracy

78.0%Counter-strafing

10.1°Preaim

630msReaction time

24.4%T opening success

53.0%CT opening success

0.64Enemies flashed / flash

8.5%Flash assists

6.41HE damage / grenade

8.58Flashes / 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 24.4182% — below the 40% mark we flag

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.

18% win rate across 11 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
vertigo	6–13	0.03	32%	26 Aug →
mirage	14–16	0.02	24%	26 Aug →
ancient	7–13	-0.04	18%	26 Aug →
ancient	13–8	0.01	31%	24 Aug →
inferno	5–13	-0.08	13%	19 Aug →
cache	10–13	-0.02	11%	19 Aug →
ancient	11–13	-0.01	22%	10 Aug →
ancient	13–16	-0.02	13%	9 Aug →
dust2	13–9	0.03	27%	6 Aug →
inferno	11–13	0.01	16%	5 Aug →
dust2	5–2	-0.02	5%	5 Aug →
inferno	3–13	0.02	24%	5 Aug →
inferno	13–8	0.02	15%	5 Aug →
dust2	5–13	-0.06	30%	5 Aug →
dust2	7–13	-0.04	16%	31 Jul →
cache	13–3	0.03	13%	31 Jul →
dust2	13–10	0.06	14%	31 Jul →
nuke	11–13	-0.02	9%	29 Jul →
dust2	14–16	-0.06	12%	27 Jul →
dust2	7–13	-0.03	15%	27 Jul →
ancient	9–13	-0.00	15%	24 Jul →
dust2	15–15	-0.03	12%	24 Jul →
anubis	13–7	-0.01	16%	24 Jul →
dust2	10–13	-0.01	23%	23 Jul →
nuke	13–8	-0.01	17%	22 Jul →
inferno	13–9	0.04	21%	22 Jul →
dust2	13–2	0.02	11%	22 Jul →
cache	13–11	-0.05	26%	22 Jul →
anubis	13–4	0.03	16%	22 Jul →
dust2	16–12	-0.00	16%	22 Jul →
cache	4–13	-0.05	19%	22 Jul →
ancient	6–13	-0.04	15%	22 Jul →
inferno	6–13	0.01	22%	22 Jul →
mirage	11–13	-0.05	14%	21 Jul →
nuke	13–11	0.01	15%	19 Jul →
dust2	11–13	-0.01	16%	19 Jul →
inferno	13–11	-0.00	16%	17 Jul →
dust2	8–13	-0.06	25%	17 Jul →
mirage	7–13	0.09	15%	17 Jul →
inferno	10–13	-0.01	18%	16 Jul →
dust2	13–7	0.01	24%	16 Jul →
cache	13–8	0.14	21%	16 Jul →
ancient	10–13	0.01	25%	15 Jul →
cache	13–2	0.12	22%	15 Jul →
mirage	13–7	0.03	17%	15 Jul →
office	13–10	0.04	22%	14 Jul →
mirage	13–7	-0.02	16%	14 Jul →
inferno	6–13	-0.02	14%	13 Jul →
cache	15–15	0.00	15%	13 Jul →
dust2	9–13	-0.01	24%	13 Jul →
mirage	9–13	-0.05	17%	13 Jul →
ancient	15–15	0.02	22%	13 Jul →
inferno	8–13	0.01	13%	12 Jul →
dust2	13–6	0.06	24%	11 Jul →
nuke	13–5	0.00	10%	11 Jul →
dust2	5–13	-0.07	11%	10 Jul →
dust2	13–6	-0.03	10%	9 Jul →
inferno	13–9	0.01	22%	9 Jul →
dust2	13–10	0.02	25%	9 Jul →
cache	6–13	-0.04	20%	9 Jul →
ancient	13–3	-0.02	30%	9 Jul →
nuke	11–13	-0.05	16%	1 Jul →
inferno	13–11	-0.01	20%	1 Jul →
nuke	13–11	0.03	22%	29 Jun →
anubis	16–12	0.02	12%	26 Jun →
ancient	11–13	-0.08	16%	22 Jun →
inferno	5–13	-0.02	14%	22 Jun →
mirage	13–10	0.01	9%	21 Jun →
dust2	13–9	0.03	19%	21 Jun →
inferno	8–13	-0.06	5%	10 Jun →
inferno	13–11	-0.06	11%	9 Jun →
nuke	4–13	-0.05	26%	8 Jun →
cache	7–13	0.06	16%	8 Jun →
vertigo	13–3	-0.00	21%	5 Jun →
inferno	13–10	-0.06	31%	4 Jun →
cache	12–12	0.08	23%	3 Jun →
inferno	9–13	-0.01	18%	3 Jun →
inferno	13–1	0.10	12%	2 Jun →
nuke	9–13	-0.02	11%	27 May →
inferno	11–13	0.08	20%	26 May →
dust2	13–3	0.05	13%	26 May →
mirage	13–7	-0.02	11%	25 May →
ancient	8–13	-0.08	15%	25 May →
inferno	11–13	-0.08	27%	25 May →
cache	13–3	-0.08	13%	22 May →
nuke	6–13	-0.09	20%	22 May →
dust2	11–13	0.01	23%	18 May →
inferno	13–7	-0.06	14%	18 May →
mirage	13–9	-0.03	21%	18 May →
mirage	11–13	0.01	22%	15 May →
mirage	13–0	0.03	34%	13 May →
nuke	6–13	-0.03	16%	13 May →
overpass	10–13	-0.01	26%	11 May →
dust2	3–13	-0.03	18%	11 May →
mirage	13–8	-0.00	17%	11 May →
dust2	3–13	0.04	24%	11 May →
overpass	13–9	-0.02	14%	11 May →
inferno	13–6	0.02	17%	10 May →
nuke	16–14	-0.02	21%	9 May →
mirage	9–13	-0.08	12%	9 May →