MADMAX — CS2 Stats

TR76561198116865382[U:1:156599654]Steam profile ↗✓ No bans

3,376Tracked matches48%Win rate2020Tracked since

20,254Hours in CS25Hrs last 2 wks

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating26,217Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.4% of ranked players (population est.)

CSDB Leaderboard#2569 of 33550 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	44.0%	52.0%
Shot accuracy	18.7%	13.7%
Kill/death ratio	1.09	1.08
Match win rate	50.4%	48.8%

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Performance scores

Aim86

Positioning61

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY48–45–7Last 10048%Win rateWWLLLWWLLL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

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

Aim8.6

Aggression7.8

Utility6.2

Positioning6.1

Opening Duels4.0

Clutch4.6

Sharp aimerStrong 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 96% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

T-side openings. Opening success drops from 58% on CT to 34% 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

Aim8.6

Positioning6.1

Utility6.2

Mechanics5.4

Opening Duels4.0

Win Impact4.4

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time519ms−26ms

first ⅓ avg 545ms → last ⅓ avg 519ms

Headshot accuracy23.6%+3.0%

first ⅓ avg 20.6% → last ⅓ avg 23.6%

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

0.15Best rating — dust2 13–2

13–1Biggest win — dust2

7Longest win streak

W2Current streak

2–10In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 56% over 18dust2Weakest map · 36% over 25

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	40	21–19	53%	0.03
dust2	C	25	9–16	36%	0.03
cache	A	18	10–8	56%	0.04
inferno	B	15	7–8	47%	0.02
anubis	—	2	1–1	50%	0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 25). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

605,566Lifetime kills

1.09K/D · Top 50% of Level 10 players

26,444Matches

50.4%Match win rate · Top 50% of Level 10 players

44.0%Headshot %

18.7%Shot accuracy · Top 10% of Level 10 players

105,795MVPs

13,592Hours (in match)

27,853Bombs planted

8,108Bombs defused

Most-used weapons

AK-47191,326

AWP114,201

M4A4 / M4A1-S97,096

P2000 / USP-S41,037

Desert Eagle34,209

Glock-1817,834

Knife16,813

P25014,120

SSG 089,665

FAMAS6,367

Lifetime map wins

68,104dust2

38,493inferno

12,375train

7,247nuke

5,592cbble

4,297vertigo

177office

167italy

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

Faceit stats

Combat

9,067Matches

56%Win rate

1.27Avg K/D

99.8ADR

41%Headshot %

Clutches & streaks

43%1v1 clutch win

24%1v2 clutch win

18Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	264	50%	1.35	19.9
Dust2	182	54%	1.47	20.4
Inferno	90	49%	1.42	19.7
Ancient	88	48%	1.25	19.3
Anubis	38	45%	1.16	17.6
Vertigo	24	54%	1.36	20.3
Nuke	16	25%	1.05	17.0
Train	9	11%	1.00	18.7

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.

23.2%Headshot accuracy

38.6%Accuracy (enemy spotted)

37.1%Spray accuracy

74.3%Counter-strafing

7.9°Preaim

514msReaction time

34.1%T opening success

58.2%CT opening success

0.69Enemies flashed / flash

13.0%Flash assists

12.51HE damage / grenade

8.01Flashes / 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 34.057% — below the 40% mark we flag

Spend your practice time on Dust 2

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 25 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–9	0.03	27%	29 Aug →
mirage	13–8	0.00	23%	28 Aug →
dust2	7–13	0.01	25%	28 Aug →
mirage	9–13	-0.04	22%	28 Aug →
dust2	6–13	0.03	23%	27 Aug →
mirage	13–6	0.10	28%	27 Aug →
cache	13–7	0.14	20%	27 Aug →
dust2	8–13	0.01	22%	27 Aug →
mirage	9–13	0.03	15%	26 Aug →
inferno	5–13	0.01	31%	26 Aug →
mirage	12–12	-0.03	19%	26 Aug →
cache	13–2	0.01	33%	25 Aug →
inferno	2–13	0.00	40%	25 Aug →
mirage	12–12	0.04	18%	25 Aug →
inferno	11–13	0.01	20%	24 Aug →
mirage	13–10	0.06	33%	24 Aug →
cache	9–13	0.01	18%	21 Aug →
mirage	7–13	0.03	22%	21 Aug →
dust2	6–13	-0.06	26%	21 Aug →
mirage	4–13	-0.00	50%	21 Aug →
mirage	0–12	-0.03	38%	21 Aug →
mirage	12–12	0.01	23%	20 Aug →
cache	13–8	0.02	19%	20 Aug →
mirage	13–9	-0.00	17%	18 Aug →
mirage	13–9	0.02	24%	18 Aug →
cache	4–0	-0.06	27%	18 Aug →
inferno	13–2	0.14	20%	17 Aug →
mirage	13–8	0.13	8%	17 Aug →
cache	13–9	0.07	13%	17 Aug →
mirage	1–13	-0.05	14%	16 Aug →
mirage	4–13	-0.01	19%	16 Aug →
dust2	11–13	-0.03	21%	16 Aug →
dust2	13–6	0.07	21%	15 Aug →
inferno	3–13	-0.10	22%	15 Aug →
mirage	5–13	0.02	16%	15 Aug →
dust2	14–16	0.04	8%	12 Aug →
anubis	13–9	0.03	25%	12 Aug →
inferno	6–13	0.10	29%	12 Aug →
inferno	10–13	-0.06	19%	12 Aug →
dust2	13–11	0.11	29%	12 Aug →
cache	13–7	0.10	16%	11 Aug →
mirage	13–5	0.09	6%	11 Aug →
dust2	7–13	0.00	26%	11 Aug →
mirage	16–13	0.03	16%	11 Aug →
cache	15–15	0.01	31%	10 Aug →
mirage	13–4	0.01	21%	10 Aug →
inferno	10–13	-0.00	9%	9 Aug →
dust2	6–13	0.00	16%	9 Aug →
mirage	12–12	-0.00	20%	9 Aug →
dust2	4–13	-0.00	20%	9 Aug →
dust2	5–13	0.11	30%	8 Aug →
mirage	13–5	0.11	17%	8 Aug →
mirage	11–13	0.05	15%	8 Aug →
mirage	12–12	0.01	25%	7 Aug →
cache	13–4	0.10	25%	7 Aug →
inferno	13–6	0.00	15%	7 Aug →
dust2	13–2	0.15	22%	7 Aug →
inferno	13–6	-0.00	23%	7 Aug →
cache	12–12	0.13	15%	6 Aug →
dust2	13–7	0.12	22%	6 Aug →
cache	10–13	0.01	38%	6 Aug →
dust2	8–13	-0.04	23%	5 Aug →
dust2	13–16	-0.00	13%	5 Aug →
inferno	16–12	0.01	11%	5 Aug →
mirage	13–7	0.10	25%	5 Aug →
mirage	13–4	0.01	24%	5 Aug →
cache	7–13	-0.05	28%	5 Aug →
dust2	13–6	0.10	22%	4 Aug →
mirage	7–13	0.04	31%	4 Aug →
dust2	13–9	0.09	21%	3 Aug →
cache	13–4	0.15	29%	3 Aug →
mirage	13–2	0.05	34%	3 Aug →
dust2	8–13	0.00	20%	3 Aug →
mirage	13–10	0.05	17%	3 Aug →
cache	13–5	0.03	16%	3 Aug →
dust2	7–13	0.01	10%	2 Aug →
inferno	10–2	0.04	25%	2 Aug →
mirage	11–13	0.02	18%	2 Aug →
dust2	13–10	0.12	22%	2 Aug →
mirage	13–8	-0.03	11%	2 Aug →
mirage	1–13	-0.02	15%	1 Aug →
cache	11–13	0.08	17%	1 Aug →
inferno	13–7	0.13	25%	1 Aug →
mirage	13–9	0.12	21%	31 Jul →
cache	13–2	0.04	16%	31 Jul →
inferno	11–13	0.05	22%	30 Jul →
anubis	11–13	0.03	28%	30 Jul →
dust2	11–13	0.00	16%	30 Jul →
dust2	13–10	0.01	28%	30 Jul →
cache	10–13	-0.03	15%	29 Jul →
mirage	11–13	0.07	23%	29 Jul →
mirage	13–8	0.00	14%	28 Jul →
cache	4–13	-0.06	18%	28 Jul →
dust2	13–1	-0.05	23%	27 Jul →
mirage	13–4	0.06	28%	27 Jul →
mirage	13–8	0.01	15%	26 Jul →
dust2	7–13	0.05	17%	26 Jul →
inferno	13–8	0.03	26%	26 Jul →
mirage	5–13	0.07	21%	25 Jul →
mirage	13–11	0.10	16%	25 Jul →