McDubz — CS2 Stats

US76561197998493430[U:1:38227702]Steam profile ↗

1,684Tracked matches52%Win rate2020Tracked since

CSDB Rating7.0 StrongAggressive Rifler

Premier CS Rating19,999Purple band · top ~8.5% of ranked players (population est.)

CSDB Leaderboard#7888 of 17719 tracked

FaceitLevel 6 · 1,364 ELOTop 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim79

Positioning68

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateWLWLLWWWWL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

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

Aim7.9

Aggression10.0

Utility6.6

Positioning6.8

Opening Duels5.4

Clutch2.0

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 sh1ro 94% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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

Strengths

CT openings. 69% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 69% on CT to 34% 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

Aim7.9

Positioning6.8

Utility6.6

Mechanics7.7

Opening Duels5.4

Win Impact5.6

Composite 7.0/10 (Strong), 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 rating0.03+0.02

first ⅓ avg 0.01 → last ⅓ avg 0.03

Reaction time539ms−8ms

first ⅓ avg 547ms → last ⅓ avg 539ms

Headshot accuracy20.4%+3.2%

first ⅓ avg 17.1% → last ⅓ avg 20.4%

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

0.22Best rating — inferno 13–3

13–2Biggest win — mirage

5Longest win streak

8–9In matches decided by ≤2 rounds

14Overtime games

Map breakdown

infernoBest map · 63% over 19nukeWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	22	12–10	55%	0.02
dust2	B	22	11–11	50%	0.01
inferno	A	19	12–7	63%	0.02
overpass	D	11	3–8	27%	-0.01
nuke	D	8	1–7	13%	0.00
anubis	B	8	4–4	50%	0.03
cache	D	7	2–5	29%	0.00
ancient	—	2	1–1	50%	0.03
warden	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

637Matches

50%Win rate

1.12Avg K/D

78.9ADR

32%Headshot %

Clutches & streaks

30%1v1 clutch win

20%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	20	45%	1.09	15.8
Inferno	13	46%	1.13	16.1
Anubis	9	22%	1.02	13.6
Overpass	7	43%	1.33	17.7
Dust2	6	17%	1.02	17.0
Nuke	5	40%	1.25	16.0
Ancient	5	80%	1.14	15.0
Train	2	50%	1.63	27.5

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.

20.6%Headshot accuracy

33.2%Accuracy (enemy spotted)

31.8%Spray accuracy

84.8%Counter-strafing

8.7°Preaim

523msReaction time

33.8%T opening success

69.4%CT opening success

0.75Enemies flashed / flash

5.9%Flash assists

9.64HE damage / grenade

12.28Flashes / 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 33.808% — 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.

13% win rate across 8 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
mirage	13–2	0.13	13%	20 Aug →
dust2	9–13	0.06	16%	20 Aug →
dust2	13–11	0.02	42%	14 Aug →
nuke	11–13	-0.04	14%	14 Aug →
nuke	8–13	-0.05	19%	14 Aug →
mirage	13–9	0.06	30%	14 Aug →
cache	13–4	0.02	9%	14 Aug →
mirage	16–14	0.06	27%	14 Aug →
dust2	13–4	0.08	33%	14 Aug →
dust2	9–13	0.04	19%	12 Aug →
inferno	13–4	0.11	18%	12 Aug →
inferno	13–16	0.00	6%	1 Aug →
dust2	4–13	-0.04	31%	1 Aug →
inferno	8–13	-0.04	11%	1 Aug →
cache	11–13	-0.02	18%	1 Aug →
nuke	11–13	0.01	14%	1 Aug →
dust2	11–13	-0.03	16%	31 Jul →
dust2	16–13	0.02	33%	31 Jul →
dust2	9–13	0.03	29%	29 Jul →
inferno	13–8	0.08	10%	29 Jul →
dust2	5–13	0.01	21%	22 Jul →
mirage	13–11	0.02	12%	17 Jul →
dust2	13–7	-0.05	17%	17 Jul →
mirage	13–10	0.04	23%	17 Jul →
inferno	13–3	0.22	28%	17 Jul →
inferno	13–2	0.07	28%	17 Jul →
cache	13–16	0.01	12%	17 Jul →
dust2	13–11	0.04	31%	17 Jul →
ancient	12–12	-0.00	20%	17 Jul →
inferno	13–16	0.04	22%	15 Jul →
cache	13–11	0.06	21%	8 Jul →
cache	2–13	-0.07	19%	8 Jul →
dust2	9–13	-0.02	11%	2 Jul →
overpass	3–13	0.01	19%	2 Jul →
anubis	13–10	0.09	18%	2 Jul →
mirage	3–13	-0.06	22%	2 Jul →
dust2	13–5	0.01	29%	1 Jul →
dust2	13–6	0.08	21%	1 Jul →
inferno	14–16	-0.03	13%	1 Jul →
nuke	13–7	0.03	23%	15 Jun →
overpass	4–13	-0.07	21%	15 Jun →
inferno	13–11	-0.01	15%	11 Jun →
inferno	4–13	-0.03	17%	11 Jun →
overpass	8–13	-0.02	24%	11 Jun →
ancient	13–8	0.05	19%	29 May →
inferno	13–7	-0.00	11%	29 May →
overpass	13–8	0.05	15%	22 May →
dust2	13–10	0.03	24%	22 May →
inferno	13–11	-0.07	18%	20 May →
mirage	6–13	0.01	43%	11 May →
dust2	5–13	0.03	17%	10 May →
anubis	6–13	-0.06	17%	10 May →
anubis	10–13	0.03	16%	8 May →
mirage	6–13	0.02	21%	8 May →
dust2	13–5	0.09	24%	8 May →
cache	6–13	0.02	16%	8 May →
dust2	13–9	-0.06	21%	6 May →
mirage	13–11	-0.00	22%	6 May →
mirage	13–8	0.03	19%	2 May →
inferno	13–4	-0.02	9%	2 May →
cache	10–13	-0.01	12%	2 May →
overpass	13–10	0.02	18%	17 Apr →
inferno	15–15	0.03	14%	17 Apr →
mirage	13–6	0.11	27%	17 Apr →
overpass	9–13	-0.02	21%	11 Apr →
anubis	11–13	0.05	5%	11 Apr →
dust2	13–9	0.04	13%	4 Apr →
mirage	8–13	0.02	15%	4 Apr →
inferno	13–7	0.03	7%	4 Apr →
mirage	9–13	0.01	31%	23 Mar →
mirage	13–5	0.03	37%	23 Mar →
dust2	11–13	-0.01	20%	23 Mar →
mirage	15–15	0.04	25%	21 Mar →
overpass	13–2	0.01	26%	21 Mar →
nuke	15–15	0.07	14%	20 Mar →
inferno	13–7	-0.01	12%	20 Mar →
mirage	13–5	0.04	13%	18 Mar →
overpass	10–13	-0.00	14%	13 Mar →
anubis	13–6	0.07	11%	13 Mar →
mirage	9–13	-0.07	11%	13 Mar →
nuke	12–16	0.00	17%	13 Mar →
mirage	1–13	-0.03	17%	13 Mar →
overpass	7–13	-0.06	18%	13 Mar →
anubis	13–3	0.11	8%	13 Mar →
anubis	13–9	0.01	15%	11 Mar →
inferno	13–4	-0.01	15%	11 Mar →
mirage	6–13	-0.04	18%	11 Mar →
overpass	1–13	-0.01	25%	7 Mar →
nuke	15–15	0.02	14%	7 Mar →
inferno	19–15	0.04	13%	7 Mar →
dust2	3–13	-0.07	17%	7 Mar →
nuke	2–13	-0.02	24%	25 Feb →
mirage	11–13	0.04	25%	25 Feb →
mirage	13–6	-0.01	15%	20 Feb →
warden	13–7	0.05	22%	20 Feb →
overpass	15–15	-0.00	9%	20 Feb →
anubis	14–16	-0.01	15%	20 Feb →
dust2	7–13	-0.06	19%	19 Feb →
mirage	13–6	0.04	16%	19 Feb →
inferno	9–13	0.05	9%	19 Feb →