Maxi魔 — CS2 Stats

76561198148080232[U:1:187814504]

1,182Tracked matches56%Win rate2020Tracked since

CSDB Rating6.7 SolidAggressive Rifler

FaceitLevel 10 · 2,548 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim73

Positioning64

Utility67

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateWTLLWLWWWL

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

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

Aim7.3

Aggression7.8

Utility6.7

Positioning6.4

Opening Duels3.5

Clutch4.0

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 93% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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 53% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 608ms 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

Aim7.3

Positioning6.4

Utility6.7

Mechanics6.8

Opening Duels3.5

Win Impact6.9

Composite 6.7/10 (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 rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time610ms+10ms

first ⅓ avg 600ms → last ⅓ avg 610ms

Headshot accuracy20.4%−0.3%

first ⅓ avg 20.7% → 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

0.20Best rating — nuke 13–7

13–1Biggest win — dust2

5Longest win streak

4–9In matches decided by ≤2 rounds

6Overtime games

Map breakdown

infernoBest map · 65% over 20ancientWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	28	15–13	54%	0.02
mirage	B	20	10–10	50%	0.01
inferno	S	20	13–7	65%	0.04
overpass	A	9	5–4	56%	0.03
cache	D	7	2–5	29%	-0.03
ancient	D	6	1–5	17%	0.01
anubis	D	6	2–4	33%	0.02
train	—	2	0–2	0%	0.07
vertigo	—	1	1–0	100%	0.03
nuke	—	1	1–0	100%	0.20

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,547Matches

54%Win rate

1.23Avg K/D

86.0ADR

45%Headshot %

Clutches & streaks

40%1v1 clutch win

33%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	77	62%	1.17	16.7
Dust2	45	60%	1.40	19.4
Inferno	36	64%	1.60	17.9
Ancient	27	48%	1.14	16.6
Anubis	23	43%	1.12	16.1
Overpass	21	71%	1.29	17.6
Nuke	8	62%	1.34	17.4
Cache	2	0%	0.70	12.0

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.

19.7%Headshot accuracy

34.8%Accuracy (enemy spotted)

39.1%Spray accuracy

80.4%Counter-strafing

9.6°Preaim

608msReaction time

35.2%T opening success

53.1%CT opening success

0.62Enemies flashed / flash

4.7%Flash assists

14.27HE damage / grenade

10.79Flashes / 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 35.185% — 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.

17% win rate across 6 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
ancient	13–3	0.03	18%	19 Jul →
mirage	15–15	-0.00	14%	19 Jul →
dust2	9–13	0.08	19%	18 Jul →
mirage	11–13	-0.03	20%	18 Jul →
inferno	13–6	0.05	21%	18 Jul →
cache	7–13	-0.04	18%	18 Jul →
inferno	13–8	0.01	16%	2 Jul →
dust2	13–5	0.03	16%	2 Jul →
mirage	13–11	0.00	19%	28 Jun →
mirage	9–13	-0.05	14%	28 Jun →
inferno	12–12	0.08	18%	25 Jun →
overpass	12–12	0.12	20%	21 Jun →
inferno	13–6	0.11	16%	18 Jun →
dust2	11–13	-0.05	10%	18 Jun →
inferno	14–16	-0.01	21%	12 Jun →
dust2	13–9	0.06	31%	12 Jun →
dust2	13–1	0.06	16%	12 Jun →
dust2	10–13	-0.02	21%	10 Jun →
mirage	13–6	-0.01	17%	10 Jun →
dust2	13–10	-0.01	28%	6 Jun →
ancient	14–16	-0.02	19%	6 Jun →
dust2	13–3	0.11	17%	5 Jun →
dust2	8–13	-0.01	19%	3 Jun →
inferno	13–6	0.03	26%	3 Jun →
mirage	7–13	0.04	25%	3 Jun →
dust2	13–7	0.10	18%	3 Jun →
dust2	13–10	0.00	19%	2 Jun →
cache	6–13	-0.04	41%	29 May →
overpass	13–5	0.02	23%	29 May →
mirage	11–13	0.02	14%	29 May →
dust2	13–8	-0.00	29%	29 May →
inferno	7–13	0.01	25%	27 May →
dust2	9–13	0.07	24%	25 May →
overpass	10–13	-0.03	24%	21 May →
vertigo	13–9	0.03	23%	21 May →
dust2	13–3	0.07	28%	21 May →
mirage	8–13	0.04	15%	21 May →
cache	12–12	0.00	28%	20 May →
ancient	7–13	-0.01	14%	17 May →
anubis	11–13	-0.01	22%	17 May →
dust2	3–13	0.00	33%	13 May →
dust2	3–13	-0.09	23%	10 May →
mirage	8–13	-0.05	14%	10 May →
inferno	13–1	0.07	10%	10 May →
anubis	8–13	0.02	33%	9 May →
ancient	5–13	-0.00	28%	9 May →
dust2	13–1	-0.06	8%	9 May →
overpass	13–8	0.05	33%	9 May →
overpass	13–7	0.03	19%	8 May →
mirage	16–13	-0.04	21%	8 May →
mirage	13–4	0.06	18%	8 May →
dust2	9–13	-0.01	25%	8 May →
dust2	13–5	0.08	27%	7 May →
mirage	10–13	0.01	27%	7 May →
inferno	13–5	0.03	19%	7 May →
nuke	13–7	0.20	18%	6 May →
inferno	13–9	0.04	23%	6 May →
overpass	13–8	0.01	30%	6 May →
overpass	3–13	-0.06	25%	6 May →
anubis	13–7	0.06	31%	6 May →
anubis	9–13	0.04	22%	3 May →
dust2	5–13	0.03	29%	3 May →
inferno	13–9	-0.05	11%	3 May →
inferno	8–13	0.06	27%	2 May →
dust2	1–4	-0.10	0%	1 May →
mirage	7–13	0.01	23%	1 May →
inferno	13–8	0.05	21%	1 May →
mirage	13–8	0.07	17%	1 May →
dust2	13–9	0.09	24%	1 May →
cache	11–13	-0.02	19%	1 May →
cache	7–13	-0.06	23%	1 May →
mirage	13–7	0.07	20%	30 Apr →
mirage	13–6	0.00	21%	30 Apr →
dust2	13–9	0.06	24%	29 Apr →
cache	13–11	-0.05	31%	29 Apr →
mirage	13–8	0.05	20%	29 Apr →
mirage	7–13	-0.02	22%	29 Apr →
dust2	11–13	0.03	18%	29 Apr →
cache	13–3	-0.01	26%	29 Apr →
overpass	11–13	0.06	18%	26 Apr →
inferno	13–11	0.08	28%	26 Apr →
dust2	13–9	0.02	23%	25 Apr →
overpass	13–2	0.04	30%	24 Apr →
inferno	10–13	0.06	18%	23 Apr →
dust2	13–7	-0.02	20%	23 Apr →
mirage	13–11	-0.00	16%	23 Apr →
dust2	10–13	-0.10	10%	23 Apr →
mirage	13–3	0.03	15%	22 Apr →
inferno	13–8	0.02	20%	22 Apr →
anubis	13–3	0.02	16%	22 Apr →
train	7–13	0.04	16%	22 Apr →
train	10–13	0.10	19%	22 Apr →
inferno	10–13	-0.02	16%	21 Apr →
ancient	13–16	-0.00	21%	21 Apr →
anubis	9–13	0.01	26%	20 Apr →
inferno	13–6	0.06	15%	20 Apr →
ancient	6–13	0.05	24%	20 Apr →
dust2	7–13	0.02	24%	20 Apr →
inferno	13–10	0.08	25%	20 Apr →
inferno	13–16	0.00	21%	20 Apr →