macerooon — CS2 Stats

76561198223962620[U:1:263696892]

681Tracked matches37%Win rate2023Tracked since

CSDB Rating5.9 SolidHybrid Rifler

Premier CS Rating16,777Purple band · top ~21.3% of ranked players (population est.)

CSDB Leaderboard#12142 of 20905 tracked

Ladder ranks via Leetify

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Performance scores

Aim82

Positioning53

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY61–33–6Last 10061%Win rateLLLWWLWLWL

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

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim8.2

Aggression5.6

Utility6.0

Positioning5.3

Opening Duels2.1

Clutch4.6

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 NiKo 93% playstyle similarity

Most alike: opening-duel success, 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

Preaim. Mechanical aim is strong but the crosshair sits 10.3° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 49% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 609ms 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

Aim8.2

Positioning5.3

Utility6.0

Mechanics7.7

Opening Duels2.3

Win Impact0.7

Composite 5.9/10 (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 rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time613ms−60ms

first ⅓ avg 672ms → last ⅓ avg 613ms

Headshot accuracy32.1%−0.9%

first ⅓ avg 33.1% → last ⅓ avg 32.1%

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 — dust2 13–5

13–1Biggest win — dust2

11Longest win streak

L3Current streak

4–7In matches decided by ≤2 rounds

6Overtime games

Map breakdown

nukeBest map · 83% over 12ancientWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	23	17–6	74%	-0.01
dust2	B	17	8–9	47%	0.01
inferno	B	14	7–7	50%	-0.03
nuke	S	12	10–2	83%	-0.02
cache	A	11	7–4	64%	-0.01
ancient	D	10	3–7	30%	-0.01
anubis	A	9	5–4	56%	-0.00
vertigo	—	4	4–0	100%	-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

33Matches

58%Win rate

1.02Avg K/D

70.3ADR

61%Headshot %

Clutches & streaks

43%1v1 clutch win

28%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	10	70%	1.07	11.7
Ancient	7	57%	0.86	15.7
Anubis	5	60%	0.99	11.2
Inferno	5	20%	0.83	14.4
Nuke	3	33%	1.00	13.7
Overpass	2	100%	1.90	20.0
Dust2	1	100%	0.89	16.0

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.

31.6%Headshot accuracy

33.5%Accuracy (enemy spotted)

35.3%Spray accuracy

84.6%Counter-strafing

10.3°Preaim

609msReaction time

27.9%T opening success

48.5%CT opening success

0.63Enemies flashed / flash

9.3%Flash assists

7.69HE damage / grenade

14.00Flashes / 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 27.9166% — 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.

30% win rate across 10 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
inferno	7–13	-0.02	24%	27 Aug →
ancient	11–13	-0.02	34%	27 Aug →
dust2	5–13	-0.01	45%	27 Aug →
mirage	13–10	-0.00	24%	27 Aug →
dust2	13–7	0.02	40%	27 Aug →
mirage	4–13	-0.07	17%	25 Aug →
inferno	13–4	-0.06	44%	25 Aug →
mirage	6–13	-0.02	40%	23 Aug →
mirage	13–8	-0.03	28%	23 Aug →
dust2	9–13	-0.05	18%	23 Aug →
nuke	13–6	0.00	10%	23 Aug →
dust2	6–13	-0.00	46%	23 Aug →
dust2	11–13	0.01	38%	23 Aug →
mirage	13–10	-0.02	27%	23 Aug →
nuke	5–13	-0.09	23%	21 Aug →
mirage	7–13	-0.08	23%	21 Aug →
dust2	12–12	0.05	39%	21 Aug →
dust2	11–13	0.02	31%	21 Aug →
vertigo	13–10	-0.05	41%	21 Aug →
nuke	10–13	-0.04	32%	21 Aug →
dust2	7–13	-0.00	42%	21 Aug →
cache	12–12	-0.03	28%	21 Aug →
inferno	12–12	-0.06	40%	21 Aug →
ancient	9–13	-0.04	18%	20 Aug →
vertigo	13–6	-0.11	38%	20 Aug →
ancient	5–13	-0.03	39%	20 Aug →
inferno	9–13	0.01	40%	20 Aug →
anubis	16–13	0.02	22%	20 Aug →
anubis	13–16	0.02	32%	20 Aug →
mirage	13–2	-0.01	28%	20 Aug →
ancient	12–12	-0.05	30%	20 Aug →
cache	13–8	-0.03	50%	16 Aug →
dust2	13–9	-0.00	29%	16 Aug →
nuke	13–10	-0.00	19%	16 Aug →
nuke	13–3	0.04	29%	16 Aug →
dust2	13–10	-0.01	33%	15 Aug →
inferno	13–3	0.01	32%	15 Aug →
vertigo	13–5	0.04	44%	15 Aug →
vertigo	13–5	0.05	39%	15 Aug →
inferno	13–3	0.02	35%	15 Aug →
dust2	13–1	0.02	44%	14 Aug →
inferno	13–10	-0.02	32%	14 Aug →
mirage	12–12	0.02	47%	14 Aug →
mirage	13–8	-0.05	73%	14 Aug →
anubis	8–13	-0.00	41%	11 Aug →
mirage	13–6	0.09	40%	11 Aug →
inferno	13–8	-0.06	44%	11 Aug →
anubis	13–10	-0.07	27%	7 Aug →
mirage	13–9	0.02	21%	7 Aug →
ancient	13–9	0.04	28%	7 Aug →
dust2	12–16	-0.04	38%	7 Aug →
mirage	13–7	-0.01	38%	7 Aug →
mirage	13–8	-0.08	11%	7 Aug →
dust2	13–8	0.02	53%	5 Aug →
anubis	13–10	0.02	43%	5 Aug →
nuke	13–10	0.00	42%	5 Aug →
mirage	13–7	0.06	41%	4 Aug →
inferno	12–16	-0.06	32%	4 Aug →
cache	11–13	-0.03	41%	4 Aug →
anubis	5–13	-0.02	30%	4 Aug →
cache	13–9	0.06	24%	4 Aug →
dust2	13–7	-0.04	44%	26 Jul →
mirage	13–9	-0.06	35%	26 Jul →
dust2	13–7	-0.03	30%	25 Jul →
cache	5–13	0.02	39%	25 Jul →
cache	13–3	-0.04	29%	25 Jul →
nuke	13–11	0.00	30%	24 Jul →
nuke	13–11	-0.00	42%	24 Jul →
mirage	8–13	-0.02	37%	23 Jul →
nuke	13–9	0.07	32%	23 Jul →
cache	13–8	0.03	32%	23 Jul →
anubis	13–9	-0.02	27%	23 Jul →
ancient	8–13	-0.06	28%	23 Jul →
cache	13–4	0.09	43%	21 Jul →
mirage	13–1	-0.00	29%	21 Jul →
nuke	13–10	-0.05	24%	21 Jul →
ancient	13–11	-0.04	26%	21 Jul →
cache	13–9	-0.00	25%	21 Jul →
anubis	11–13	0.01	37%	21 Jul →
mirage	13–5	0.01	48%	19 Jul →
ancient	5–13	0.03	30%	17 Jul →
inferno	10–13	0.01	28%	17 Jul →
nuke	13–10	-0.06	24%	17 Jul →
ancient	13–2	0.09	40%	17 Jul →
inferno	6–13	-0.07	33%	17 Jul →
mirage	13–9	-0.00	39%	17 Jul →
inferno	12–12	-0.06	50%	17 Jul →
nuke	13–11	-0.09	0%	16 Jul →
ancient	16–19	-0.06	30%	16 Jul →
mirage	14–16	-0.03	23%	16 Jul →
anubis	13–5	0.01	27%	16 Jul →
mirage	13–2	0.03	28%	16 Jul →
inferno	13–8	-0.07	26%	16 Jul →
dust2	11–13	0.04	44%	5 Jul →
dust2	13–5	0.11	29%	5 Jul →
inferno	13–5	0.01	44%	5 Jul →
mirage	4–0	-0.04	100%	5 Jul →
cache	5–13	-0.09	35%	5 Jul →
mirage	13–8	-0.03	20%	5 Jul →
cache	13–7	-0.08	11%	5 Jul →