MadMax

MadMax — CS2 Stats

US76561198980467775[U:1:1020202047]Steam profile ↗✓ No bans

4,989Tracked matches38%Win rate2020Tracked since
CSDB Rating4.3 DevelopingSupport
Premier CS Rating9,075Light Blue band · top ~59.3% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Nov 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

−341Premier CS Rating · 9,416 → 9,075

Rating over time

Premier CS Rating: 9,075 -1,796 24 Sept – 14 Nov · 25 days played
9,07512,252peak 12,25224 Sept14 Nov
12,864Peak Premier in tracked matches
24Days played since 2026-09-24

Premier CS Rating

  • 3,177 below peak (12,252)
  • -2,343 over 30 days · declining
  • Next: Blue band at 10,000 — 925 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-24
  • Light Blue band first seen 2026-09-24

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGMadMaxFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER9,075 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim56
Positioning50
Utility65

0–100 skill scores via Leetify.

Recent form

COLD47–51–2Last 10047%Win rateLLLWLLLLTW

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −5.2pp headshot accuracy · +71ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 9%
  • Avg reaction 655ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 654ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 618ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2.6 against its own average).

Aim5.6
Utility6.5
Positioning5.0
Opening Duels0.1
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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

iM

Plays most like iM 68% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 619ms 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

Aim5.6
Positioning5.0
Utility6.5
Mechanics5.8
Opening Duels1.3
Win Impact1.0

Composite 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time624ms+7ms
first ⅓ avg 617ms → last ⅓ avg 624ms
Headshot accuracy12.4%+0.9%
first ⅓ avg 11.5% → last ⅓ avg 12.4%

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.

Personal bests

0.20Best match rating · 13–0 · nuke, 8 Nov →
29%Best headshot accuracy · 13–1 · inferno, 16 Oct →
391msFastest reaction time · 2–13 · inferno, 16 Oct →
13–0Biggest win · nuke, 8 Nov →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L3Current streak
3–8In matches decided by ≤2 rounds
3Overtime games

Map breakdown

infernoBest map · 75% over 12dust2Weakest map · 29% over 21
MapGradePlayedRecordWin rateAvg rating
dust2D216–1529%-0.01
ancientB199–1047%-0.01
mirageB157–847%-0.01
cacheC135–838%0.01
infernoS129–375%0.02
anubisA116–555%0.01
nukeA95–456%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

957Matches
49%Win rate
0.85Avg K/D
75.2ADR
33%Headshot %

Clutches & streaks

40%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Vertigo25648%0.8711.5
Inferno19554%0.8911.6
Mirage14845%0.7610.2
Anubis13349%0.8211.9
Ancient10145%0.8811.8
Dust24854%0.8712.2
Overpass4757%0.7711.3
Nuke2245%0.8812.9

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.

12.1%Headshot accuracy
34.6%Accuracy (enemy spotted)
36.5%Spray accuracy
76.2%Counter-strafing
9.8°Preaim
619msReaction time
32.5%T opening success
37.8%CT opening success
0.48Enemies flashed / flash
3.2%Flash assists
9.28HE damage / grenade
12.23Flashes / 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.

  1. 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 12.0696% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4811 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 32.5282% — 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.

29% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient11–13-0.0211%14 Nov →
mirage14–16-0.017%10 Nov →
cache5–130.029%10 Nov →
cache13–70.0813%9 Nov →
mirage5–13-0.077%9 Nov →
dust21–9-0.0313%9 Nov →
dust210–13-0.009%9 Nov →
nuke11–13-0.0121%9 Nov →
mirage15–15-0.063%9 Nov →
mirage13–9-0.017%8 Nov →
nuke13–00.2013%8 Nov →
nuke3–13-0.0712%8 Nov →
anubis13–50.0620%8 Nov →
cache1–13-0.0921%7 Nov →
anubis13–8-0.0114%6 Nov →
ancient11–13-0.049%6 Nov →
dust29–130.037%5 Nov →
cache8–130.0818%3 Nov →
dust213–9-0.0527%3 Nov →
mirage13–90.0112%3 Nov →
ancient11–13-0.0311%2 Nov →
ancient13–11-0.0115%2 Nov →
dust27–130.016%2 Nov →
anubis13–9-0.027%2 Nov →
ancient13–100.0717%2 Nov →
dust213–100.0110%2 Nov →
dust25–130.019%1 Nov →
nuke3–13-0.0416%1 Nov →
cache6–13-0.0516%1 Nov →
dust27–13-0.0314%1 Nov →
inferno13–60.0912%1 Nov →
dust25–130.0318%1 Nov →
anubis13–8-0.017%1 Nov →
mirage8–130.0118%31 Oct →
dust27–13-0.056%31 Oct →
cache2–13-0.037%31 Oct →
ancient9–130.0515%30 Oct →
inferno13–50.1014%29 Oct →
cache13–40.1018%29 Oct →
ancient1–13-0.0615%27 Oct →
inferno13–6-0.0213%27 Oct →
dust213–5-0.023%27 Oct →
ancient6–13-0.064%27 Oct →
ancient13–100.0211%26 Oct →
anubis9–13-0.085%26 Oct →
ancient13–90.0114%26 Oct →
anubis10–13-0.009%26 Oct →
inferno6–10.0412%26 Oct →
nuke13–40.0215%26 Oct →
anubis13–90.089%26 Oct →
ancient13–110.096%26 Oct →
nuke13–60.0914%25 Oct →
mirage5–130.018%25 Oct →
mirage13–60.0110%25 Oct →
anubis13–100.0612%25 Oct →
nuke13–100.1122%25 Oct →
dust29–13-0.0215%25 Oct →
ancient13–5-0.037%25 Oct →
dust24–13-0.0010%25 Oct →
anubis11–13-0.049%25 Oct →
dust210–13-0.0517%24 Oct →
inferno6–130.0213%24 Oct →
ancient5–13-0.045%23 Oct →
ancient9–13-0.036%20 Oct →
nuke7–130.0314%20 Oct →
inferno13–8-0.0113%20 Oct →
ancient5–13-0.0110%19 Oct →
inferno13–70.0317%19 Oct →
ancient13–11-0.038%19 Oct →
mirage13–80.017%19 Oct →
anubis15–150.0612%19 Oct →
inferno10–13-0.007%18 Oct →
mirage11–13-0.0314%18 Oct →
cache5–13-0.0213%18 Oct →
mirage11–130.036%18 Oct →
cache13–70.0514%18 Oct →
nuke13–70.0515%18 Oct →
dust28–13-0.019%18 Oct →
cache13–80.078%18 Oct →
inferno13–100.016%18 Oct →
dust28–13-0.0518%17 Oct →
dust213–60.0410%17 Oct →
dust23–13-0.049%17 Oct →
ancient13–4-0.016%17 Oct →
anubis5–130.0112%17 Oct →
dust25–130.0310%17 Oct →
cache5–13-0.0314%16 Oct →
mirage10–13-0.0312%16 Oct →
cache3–13-0.0813%16 Oct →
dust213–40.0111%16 Oct →
inferno2–13-0.106%16 Oct →
dust213–10-0.0115%16 Oct →
mirage13–10-0.0810%16 Oct →
cache13–80.0415%16 Oct →
inferno13–10.0329%16 Oct →
mirage13–10.0414%15 Oct →
ancient13–8-0.0212%15 Oct →
inferno13–80.0616%15 Oct →
mirage13–100.014%15 Oct →
ancient6–13-0.097%15 Oct →

Match data via Leetify.

Recent teammates

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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