Maxey — CS2 Stats

76561199114432267[U:1:1154166539]

1,298Tracked matches55%Win rate2023Tracked since

3,018Hours in CS32Hrs last 2 wks

CSDB Rating4.8 Developing

Premier CS Rating14,435Blue band · top ~31.4% of ranked players (population est.)

CSDB Leaderboard#10560 of 15893 tracked

FaceitLevel 5 · 842 ELOTop 67.6% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

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Performance scores

Aim58

Positioning47

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateWWLLWLLLWL

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

Aim5.8

Aggression5.6

Utility6.2

Positioning4.7

Opening Duels1.9

Clutch4.0

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 88% playstyle similarity

Most alike: opening-duel success, 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

Areas to improve

Reaction time. 585ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.8

Positioning4.7

Utility6.2

Mechanics4.2

Opening Duels1.9

Win Impact6.7

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.03

first ⅓ avg 0.01 → last ⅓ avg -0.02

Reaction time594ms−27ms

first ⅓ avg 621ms → last ⅓ avg 594ms

Headshot accuracy14.2%−0.2%

first ⅓ avg 14.5% → last ⅓ avg 14.2%

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

0.15Best rating — vertigo 9–2

13–1Biggest win — office

6Longest win streak

W2Current streak

7–11In matches decided by ≤2 rounds

8Overtime games

Map breakdown

cacheBest map · 64% over 11ancientWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	27	16–11	59%	0.01
inferno	B	23	12–11	52%	-0.02
ancient	D	13	4–9	31%	-0.03
cache	A	11	7–4	64%	-0.01
dust2	A	8	5–3	63%	-0.01
anubis	C	8	3–5	38%	-0.01
vertigo	—	3	1–2	33%	0.04
nuke	—	3	1–2	33%	0.05
office	—	2	2–0	100%	0.07
eldorado	—	1	0–1	0%	-0.14
train	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

70,501Lifetime kills

0.65K/D

4,562Matches

34.5%Match win rate

44.1%Headshot %

1.0%Shot accuracy

5,988MVPs

2,006Hours (in match)

3,406Bombs planted

793Bombs defused

Most-used weapons

AK-4731,371

M4A4 / M4A1-S14,322

Galil AR3,495

P2000 / USP-S3,428

AWP3,371

Glock-182,704

Desert Eagle2,633

MP92,207

FAMAS1,411

MAC-101,310

Lifetime map wins

6,998inferno

4,156dust2

2,134nuke

1,526vertigo

394train

26office

3cbble

2ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

797Matches

49%Win rate

1.02Avg K/D

77.1ADR

42%Headshot %

Clutches & streaks

40%1v1 clutch win

22%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	236	50%	1.07	14.8
Dust2	150	47%	0.98	14.8
Inferno	127	54%	1.08	15.1
Ancient	116	53%	1.02	14.7
Nuke	69	45%	0.97	14.8
Anubis	62	40%	0.95	15.2
Overpass	18	50%	0.93	13.2
Cache	11	55%	1.03	16.2

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.

13.8%Headshot accuracy

34.0%Accuracy (enemy spotted)

37.6%Spray accuracy

68.9%Counter-strafing

9.1°Preaim

585msReaction time

33.4%T opening success

42.1%CT opening success

0.56Enemies flashed / flash

7.1%Flash assists

15.47HE damage / grenade

10.29Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.8342% — below the 15% mark we flag
Aim Training →
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 33.415% — 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.

31% win rate across 13 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
mirage	13–10	0.05	14%	26 Aug →
vertigo	9–2	0.15	31%	25 Aug →
inferno	2–9	-0.18	13%	25 Aug →
mirage	7–13	-0.00	21%	24 Aug →
dust2	13–11	0.01	18%	23 Aug →
ancient	11–13	-0.04	14%	23 Aug →
inferno	7–13	-0.07	16%	10 Aug →
cache	11–13	-0.06	10%	10 Aug →
mirage	13–5	-0.05	8%	9 Aug →
ancient	9–13	-0.04	9%	9 Aug →
dust2	13–8	0.00	11%	9 Aug →
inferno	1–7	0.01	10%	9 Aug →
anubis	9–13	-0.07	6%	6 Aug →
ancient	13–7	-0.01	18%	6 Aug →
inferno	13–8	-0.01	15%	5 Aug →
ancient	9–13	-0.03	14%	5 Aug →
eldorado	3–9	-0.14	17%	4 Aug →
nuke	9–1	0.14	21%	4 Aug →
inferno	6–9	-0.11	9%	4 Aug →
inferno	13–8	0.03	12%	4 Aug →
ancient	2–13	-0.06	10%	4 Aug →
mirage	5–12	0.03	18%	4 Aug →
nuke	6–13	0.00	17%	4 Aug →
ancient	7–13	-0.06	4%	2 Aug →
inferno	13–3	0.02	29%	2 Aug →
cache	13–6	-0.00	14%	1 Aug →
cache	13–8	-0.08	15%	1 Aug →
anubis	13–11	0.01	13%	1 Aug →
inferno	13–3	-0.01	13%	1 Aug →
inferno	13–10	-0.03	17%	31 Jul →
vertigo	2–13	-0.02	0%	31 Jul →
vertigo	12–12	-0.02	15%	30 Jul →
cache	16–13	-0.03	17%	28 Jul →
inferno	16–14	0.01	15%	28 Jul →
inferno	13–6	-0.01	14%	28 Jul →
inferno	13–10	-0.04	16%	28 Jul →
anubis	5–13	-0.02	26%	28 Jul →
anubis	12–16	-0.02	6%	27 Jul →
ancient	13–8	0.05	6%	26 Jul →
mirage	13–11	0.04	19%	26 Jul →
cache	9–13	-0.02	16%	26 Jul →
mirage	13–9	-0.00	18%	26 Jul →
mirage	10–13	-0.01	16%	24 Jul →
inferno	13–8	-0.01	13%	23 Jul →
mirage	13–9	-0.02	21%	23 Jul →
dust2	7–13	0.01	11%	23 Jul →
mirage	14–16	0.05	21%	21 Jul →
inferno	8–13	0.06	26%	19 Jul →
ancient	9–13	0.01	10%	19 Jul →
cache	11–13	-0.01	7%	19 Jul →
inferno	13–8	0.08	16%	19 Jul →
dust2	13–5	-0.09	3%	18 Jul →
mirage	6–13	0.01	8%	18 Jul →
ancient	11–13	-0.06	12%	18 Jul →
dust2	13–10	-0.03	20%	17 Jul →
ancient	13–11	-0.05	18%	17 Jul →
mirage	13–8	0.04	9%	17 Jul →
ancient	8–13	0.02	12%	17 Jul →
dust2	13–5	0.01	14%	17 Jul →
inferno	10–13	0.02	2%	16 Jul →
mirage	13–4	0.07	21%	16 Jul →
cache	13–11	-0.01	17%	16 Jul →
mirage	10–13	-0.04	7%	15 Jul →
ancient	8–13	-0.06	17%	15 Jul →
inferno	9–13	-0.02	11%	15 Jul →
cache	13–4	0.05	21%	15 Jul →
office	13–10	0.03	12%	14 Jul →
office	13–1	0.11	9%	14 Jul →
inferno	9–13	-0.08	11%	14 Jul →
cache	13–5	0.02	23%	13 Jul →
ancient	13–9	-0.01	13%	13 Jul →
mirage	16–13	0.02	16%	11 Jul →
anubis	10–13	0.02	15%	10 Jul →
cache	13–9	-0.01	13%	10 Jul →
mirage	13–3	0.07	18%	10 Jul →
mirage	13–2	0.04	18%	8 Jul →
dust2	13–16	0.06	14%	8 Jul →
mirage	3–13	-0.03	17%	7 Jul →
inferno	11–13	-0.02	20%	3 Jul →
mirage	12–0	0.02	6%	3 Jul →
anubis	14–16	0.03	12%	3 Jul →
mirage	6–13	-0.04	19%	3 Jul →
cache	11–13	0.03	10%	1 Jul →
anubis	13–7	-0.05	14%	1 Jul →
mirage	8–13	0.01	23%	1 Jul →
mirage	13–8	0.07	10%	30 Jun →
inferno	17–19	-0.00	13%	30 Jun →
mirage	13–1	0.00	10%	27 Jun →
inferno	13–11	0.04	18%	25 Jun →
dust2	11–13	-0.05	13%	24 Jun →
train	13–9	0.07	17%	21 Jun →
inferno	3–13	-0.03	5%	6 Jun →
nuke	8–13	0.02	10%	4 Jun →
mirage	11–13	-0.04	14%	3 Jun →
inferno	13–9	0.01	18%	3 Jun →
mirage	13–7	0.01	13%	3 Jun →
mirage	13–4	0.04	10%	31 May →
mirage	9–13	0.03	21%	31 May →
mirage	13–8	-0.01	11%	30 May →
anubis	13–9	0.06	21%	28 May →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

06Player 80610674 recent matches together

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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