mayonesy — CS2 Stats

SE76561198004763841[U:1:44498113]Steam profile ↗✓ No bans

1,839Tracked matches52%Win rate2020Tracked since

CSDB Rating6.6 SolidHybrid Rifler

FaceitLevel 10 · 2,755 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

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Performance scores

Aim72

Positioning58

Utility71

0–100 skill scores via Leetify.

Recent form

HOT52–46–2Last 10052%Win rateLWWWWLWWWL

Last 10 vs previous 10: +50pp win rate · -0.01 avg rating

Player DNA

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

Aim7.2

Aggression5.9

Utility7.1

Positioning5.8

Opening Duels2.9

Clutch3.0

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 Twistzz 93% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Flashes. 0.88 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 63% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 671ms 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

Aim7.2

Positioning5.8

Utility7.1

Mechanics7.5

Opening Duels4.1

Win Impact5.6

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time681ms−30ms

first ⅓ avg 711ms → last ⅓ avg 681ms

Headshot accuracy23.3%−1.1%

first ⅓ avg 24.5% → last ⅓ avg 23.3%

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

0.10Best rating — nuke 13–5

13–0Biggest win — dust2

5Longest win streak

6–6In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 86% over 7infernoWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	32	21–11	66%	-0.00
dust2	C	15	6–9	40%	0.02
anubis	B	12	6–6	50%	0.02
inferno	C	11	4–7	36%	0.01
ancient	C	10	4–6	40%	-0.01
nuke	S	7	6–1	86%	0.02
overpass	C	7	3–4	43%	0.01
cache	—	4	1–3	25%	0.03
vertigo	—	2	1–1	50%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

8,819Matches

51%Win rate

1.09Avg K/D

79.5ADR

52%Headshot %

Clutches & streaks

35%1v1 clutch win

21%1v2 clutch win

13Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	358	55%	1.07	16.9
Dust2	233	48%	0.96	16.3
Inferno	175	58%	1.04	16.5
Nuke	130	52%	1.04	15.9
Overpass	122	62%	1.05	16.8
Ancient	119	44%	1.04	16.0
Anubis	104	53%	1.03	17.4
Vertigo	35	60%	1.17	19.1

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.

23.4%Headshot accuracy

37.7%Accuracy (enemy spotted)

37.5%Spray accuracy

83.8%Counter-strafing

11.3°Preaim

671msReaction time

20.8%T opening success

62.5%CT opening success

0.88Enemies flashed / flash

5.9%Flash assists

10.26HE damage / grenade

12.22Flashes / 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 20.8106% — below the 40% mark we flag

Spend your practice time on Inferno

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–16	-0.04	18%	27 Aug →
vertigo	13–7	-0.00	41%	27 Aug →
mirage	13–6	-0.02	14%	22 Aug →
mirage	13–11	-0.01	17%	22 Aug →
cache	16–13	0.04	22%	22 Aug →
inferno	6–13	-0.01	26%	21 Aug →
mirage	13–10	0.01	13%	21 Aug →
mirage	13–3	0.01	29%	7 Aug →
inferno	13–7	-0.01	15%	7 Aug →
cache	11–13	0.09	27%	28 Jul →
mirage	12–12	-0.02	27%	26 Jul →
inferno	12–16	0.09	30%	26 Jul →
ancient	3–13	0.02	16%	26 Jul →
dust2	6–13	0.01	14%	26 Jul →
mirage	6–13	0.03	28%	26 Jul →
anubis	13–1	0.06	41%	26 Jul →
mirage	13–10	0.04	36%	25 Jul →
vertigo	6–13	0.02	35%	25 Jul →
dust2	8–13	-0.05	20%	25 Jul →
anubis	1–13	-0.03	18%	25 Jul →
anubis	13–2	0.06	29%	25 Jul →
anubis	3–10	-0.05	15%	24 Jul →
anubis	13–3	0.10	22%	23 Jul →
mirage	13–9	0.05	28%	22 Jul →
anubis	9–13	0.08	25%	17 Jul →
mirage	11–13	-0.01	17%	28 Jun →
dust2	13–7	-0.00	22%	27 Jun →
nuke	13–4	0.02	19%	23 Jun →
mirage	8–13	-0.01	21%	18 Jun →
mirage	13–7	-0.03	20%	17 Jun →
mirage	22–19	-0.01	20%	16 Jun →
mirage	13–6	0.01	19%	16 Jun →
nuke	13–11	0.03	27%	14 Jun →
ancient	8–13	-0.03	26%	12 Jun →
mirage	13–7	-0.00	11%	12 Jun →
ancient	13–7	0.02	19%	11 Jun →
cache	14–16	-0.03	23%	9 Jun →
ancient	4–13	-0.02	21%	7 Jun →
overpass	8–13	0.02	27%	7 Jun →
anubis	13–8	-0.03	19%	5 Jun →
ancient	13–16	-0.06	13%	4 Jun →
nuke	13–7	0.00	18%	4 Jun →
mirage	13–9	0.05	30%	3 Jun →
overpass	9–13	-0.05	16%	28 May →
inferno	13–9	0.03	21%	27 May →
dust2	8–13	0.07	28%	27 May →
mirage	14–16	-0.01	10%	27 May →
mirage	13–6	-0.04	25%	27 May →
overpass	13–10	0.04	20%	24 May →
mirage	6–13	-0.02	23%	22 May →
ancient	11–13	-0.03	14%	21 May →
dust2	7–13	-0.03	29%	21 May →
nuke	13–3	0.06	15%	18 May →
mirage	10–13	-0.05	10%	18 May →
anubis	13–5	0.04	23%	17 May →
dust2	13–7	-0.01	16%	16 May →
anubis	6–13	-0.08	22%	16 May →
inferno	16–12	-0.01	24%	16 May →
mirage	22–19	-0.01	18%	10 May →
anubis	16–13	0.01	22%	9 May →
mirage	13–8	0.03	39%	8 May →
dust2	11–13	0.01	28%	7 May →
dust2	4–13	0.01	24%	6 May →
ancient	2–13	-0.04	22%	4 May →
nuke	8–13	-0.04	21%	3 May →
inferno	13–5	-0.05	18%	1 May →
mirage	13–8	0.02	23%	1 May →
dust2	13–5	0.06	26%	30 Apr →
cache	5–13	0.02	22%	30 Apr →
inferno	4–13	0.01	14%	27 Apr →
mirage	7–13	-0.00	20%	27 Apr →
dust2	10–13	0.08	27%	24 Apr →
mirage	13–10	0.04	33%	24 Apr →
dust2	1–8	-0.05	50%	24 Apr →
dust2	13–5	0.09	14%	16 Apr →
inferno	4–13	-0.02	22%	14 Apr →
anubis	10–13	0.04	32%	14 Apr →
mirage	6–13	-0.05	33%	14 Apr →
ancient	13–9	0.06	18%	14 Apr →
dust2	13–0	0.06	19%	12 Apr →
anubis	1–8	0.02	25%	12 Apr →
mirage	13–6	0.09	26%	11 Apr →
dust2	9–13	0.04	18%	11 Apr →
dust2	13–11	-0.02	22%	11 Apr →
overpass	13–11	0.05	21%	11 Apr →
mirage	13–9	0.02	32%	11 Apr →
ancient	13–8	-0.03	25%	9 Apr →
nuke	9–5	-0.05	24%	9 Apr →
inferno	8–13	0.05	31%	2 Apr →
ancient	22–20	-0.00	25%	30 Mar →
inferno	7–13	-0.02	16%	25 Mar →
overpass	13–10	0.02	20%	22 Mar →
mirage	13–9	-0.01	18%	18 Mar →
mirage	2–13	-0.09	36%	18 Mar →
overpass	7–13	0.02	18%	16 Mar →
nuke	13–5	0.10	29%	15 Mar →
inferno	15–15	0.04	22%	14 Mar →
mirage	13–11	-0.05	28%	10 Mar →
overpass	3–13	-0.06	11%	9 Mar →
mirage	13–3	0.02	31%	9 Mar →