Mooney — CS2 Stats

76561198054628890[U:1:94363162]Steam profile ↗✓ No bans

2,311Tracked matches57%Win rate2020Tracked since

CSDB Rating6.2 SolidAggressive Rifler

WingmanSupreme Master First Class

Ladder ranks via Leetify

Performance scores

Aim77

Positioning63

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY62–36–2Last 10062%Win rateLLLLWLWLWW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim7.7

Aggression6.6

Utility4.9

Positioning6.3

Opening Duels2.5

Clutch3.8

Strong 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 b1t 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Areas to improve

T-side openings. Opening success drops from 52% on CT to 29% 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

Aim7.7

Positioning6.3

Utility4.9

Mechanics6.2

Opening Duels2.7

Win Impact7.2

Composite 6.2/10 (Solid), 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 rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time530ms−21ms

first ⅓ avg 551ms → last ⅓ avg 530ms

Headshot accuracy18.6%−0.6%

first ⅓ avg 19.2% → last ⅓ avg 18.6%

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 — overpass 13–0

13–0Biggest win — overpass

10Longest win streak

L4Current streak

6–4In matches decided by ≤2 rounds

7Overtime games

Map breakdown

mirageBest map · 100% over 5ancientWeakest map · 39% over 18

Map	Grade	Played	Record	Win rate	Avg rating
overpass	S	22	17–5	77%	0.05
ancient	C	18	7–11	39%	0.01
anubis	S	16	11–5	69%	0.04
nuke	B	15	7–8	47%	0.03
train	S	10	7–3	70%	0.03
inferno	S	9	6–3	67%	0.02
mirage	S	5	5–0	100%	0.04
dust2	—	4	1–3	25%	-0.02
vertigo	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,874Matches

53%Win rate

1.23Avg K/D

84.4ADR

45%Headshot %

Clutches & streaks

39%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	339	53%	1.22	16.7
Nuke	280	59%	1.32	16.8
Ancient	277	50%	1.21	16.7
Inferno	139	54%	1.26	16.9
Overpass	106	59%	1.29	16.4
Train	102	55%	1.23	17.4
Mirage	76	54%	1.11	15.6
Dust2	70	50%	1.21	15.8

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.

18.4%Headshot accuracy

35.3%Accuracy (enemy spotted)

41.4%Spray accuracy

77.9%Counter-strafing

10.2°Preaim

525msReaction time

28.6%T opening success

51.7%CT opening success

0.42Enemies flashed / flash

4.8%Flash assists

8.63HE damage / grenade

8.51Flashes / 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.

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 0.418 — 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 28.637% — 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.

39% win rate across 18 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
anubis	10–13	-0.06	6%	22 Aug →
anubis	11–13	0.01	21%	4 Aug →
ancient	7–13	0.00	24%	3 Aug →
ancient	13–16	0.03	15%	2 Aug →
nuke	13–6	-0.00	23%	1 Aug →
nuke	4–13	-0.01	10%	31 Jul →
ancient	13–10	0.01	22%	28 Jul →
ancient	5–13	-0.05	18%	27 Jul →
anubis	13–10	0.02	21%	27 Jul →
anubis	13–2	0.08	24%	15 Jul →
ancient	1–13	-0.08	21%	15 Jul →
nuke	9–13	-0.00	27%	29 May →
ancient	8–13	-0.02	16%	29 May →
anubis	13–8	0.06	29%	27 May →
nuke	6–13	0.07	23%	22 May →
nuke	13–10	-0.02	20%	21 May →
nuke	13–7	0.01	9%	21 May →
ancient	13–7	0.00	13%	5 May →
anubis	13–10	0.12	10%	4 May →
ancient	13–9	-0.03	17%	4 May →
overpass	7–13	0.01	34%	27 Apr →
ancient	4–13	0.01	9%	26 Apr →
train	13–8	0.04	23%	22 Apr →
vertigo	9–6	0.06	15%	20 Apr →
ancient	16–13	-0.02	21%	17 Apr →
overpass	13–2	0.08	17%	25 Mar →
overpass	13–7	0.14	19%	11 Mar →
dust2	1–13	-0.05	13%	10 Mar →
mirage	13–4	0.03	17%	10 Mar →
anubis	13–4	-0.01	12%	24 Feb →
overpass	13–0	0.22	22%	20 Feb →
nuke	7–13	0.06	36%	12 Feb →
nuke	10–13	0.02	10%	7 Feb →
train	13–8	0.04	28%	8 Jan →
dust2	14–16	0.03	32%	1 Jan →
anubis	9–13	0.06	11%	30 Dec →
ancient	13–5	0.11	18%	29 Dec →
overpass	12–12	0.06	31%	28 Dec →
nuke	13–8	0.02	19%	13 Dec →
anubis	9–13	0.09	17%	13 Dec →
mirage	13–11	-0.01	18%	6 Dec →
overpass	9–13	-0.04	18%	6 Dec →
train	13–5	0.07	17%	5 Dec →
nuke	7–13	0.02	13%	2 Dec →
train	13–3	0.01	17%	18 Nov →
inferno	13–7	0.13	20%	18 Nov →
dust2	10–13	-0.03	6%	18 Nov →
overpass	13–6	0.06	13%	17 Nov →
dust2	13–9	-0.02	19%	17 Nov →
nuke	21–25	0.01	15%	16 Nov →
mirage	13–11	0.01	23%	13 Nov →
inferno	8–13	-0.03	35%	10 Nov →
train	6–13	0.00	28%	10 Nov →
overpass	13–11	0.07	15%	9 Nov →
ancient	10–13	0.05	18%	7 Nov →
train	11–1	0.01	20%	6 Nov →
ancient	3–13	-0.03	15%	6 Nov →
train	13–1	0.13	20%	5 Nov →
overpass	19–17	0.01	14%	3 Nov →
overpass	13–6	0.06	18%	3 Nov →
inferno	13–7	-0.03	23%	3 Nov →
overpass	13–5	0.08	13%	31 Oct →
inferno	9–13	0.02	24%	31 Oct →
overpass	13–6	0.12	21%	25 Oct →
inferno	10–13	0.01	22%	11 Oct →
mirage	13–6	0.00	16%	11 Oct →
nuke	13–5	0.02	20%	27 Sept →
overpass	13–3	0.00	23%	27 Sept →
overpass	13–5	0.02	16%	27 Sept →
nuke	13–3	0.20	11%	20 Sept →
inferno	13–2	0.05	15%	20 Sept →
anubis	11–13	0.02	24%	20 Sept →
mirage	13–9	0.17	26%	19 Sept →
ancient	13–7	0.06	11%	19 Sept →
ancient	11–13	0.04	18%	19 Sept →
train	4–13	-0.01	21%	16 Sept →
train	9–13	-0.05	25%	15 Sept →
ancient	13–4	0.05	22%	29 Aug →
nuke	13–6	0.03	28%	29 Aug →
overpass	13–7	0.02	23%	29 Aug →
overpass	13–10	0.00	19%	29 Aug →
inferno	13–9	0.04	23%	29 Aug →
overpass	13–3	0.01	16%	29 Aug →
overpass	13–8	0.03	9%	28 Aug →
anubis	7–3	-0.03	6%	28 Aug →
anubis	13–6	0.11	13%	28 Aug →
anubis	13–3	0.04	13%	28 Aug →
ancient	10–13	0.01	17%	28 Aug →
train	13–7	0.06	21%	27 Aug →
ancient	9–13	-0.02	12%	27 Aug →
overpass	13–10	0.07	28%	26 Aug →
inferno	16–14	-0.01	16%	25 Aug →
overpass	8–8	0.13	10%	25 Aug →
overpass	16–14	-0.00	16%	24 Aug →
overpass	2–12	-0.03	29%	24 Aug →
inferno	13–9	0.03	25%	22 Aug →
anubis	13–9	0.06	12%	20 Aug →
anubis	13–7	0.07	20%	20 Aug →
nuke	5–13	-0.02	15%	18 Aug →
anubis	13–7	-0.01	55%	14 Aug →