SUPER MAX

SUPER MAX — CS2 Stats

NL76561198280167846[U:1:319902118]Steam profile ↗✓ No bans

620Tracked matches54%Win rate2020Tracked since
1,013Hours in CS
CSDB Rating6.2 SolidAll-Rounder
CSDB Leaderboard#10281 of 259285 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 26,439 -124 19 Oct – 20 Oct · 2 days played
26,43926,563peak 26,56319 Oct20 Oct
26,563Peak Premier in tracked matches
49Days played since 2025-10-06

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

Performance scores

Aim78
Positioning57
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY59–33–8Last 10059%Win rateLWLLWWLWLW

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −2.6pp headshot accuracy · +25ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 591ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 614ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 602ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.8
Utility4.6
Positioning5.7
Opening Duels4.6

Limited utility dependence

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

m0NESY

Plays most like m0NESY 98% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 55% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 558ms 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

Aim7.8
Positioning5.7
Utility4.6
Mechanics6.7
Opening Duels4.0
Win Impact6.2

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.04
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time548ms−8ms
first ⅓ avg 556ms → last ⅓ avg 548ms
Headshot accuracy15.3%+0.7%
first ⅓ avg 14.6% → last ⅓ avg 15.3%

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.

Personal bests

0.16Best match rating · 13–5 · ancient, 15 Jan →
43%Best headshot accuracy · 13–3 · dust2, 23 Jul →
344msFastest reaction time · 6–13 · cache, 6 May →
13–0Biggest win · cache, 26 Jun →

Across the last 100 tracked matches.

Highlights

7Longest win streak
2–9In matches decided by ≤2 rounds
1Overtime games

Map breakdown

overpassBest map · 80% over 10dust2Weakest map · 52% over 21
MapGradePlayedRecordWin rateAvg rating
dust2B2111–1052%0.01
cacheB179–853%0.01
ancientA1710–759%0.03
infernoA149–564%0.04
overpassS108–280%0.04
anubisS64–267%0.01
train—43–175%0.01
mirage—31–233%0.03
vertigo—21–150%0.02
boulder—11–0100%0.04
warden—10–10%-0.01
nuke—11–0100%-0.03
alpine—10–10%0.08
golden—10–10%-0.01
palacio—11–0100%0.13

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (52% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

55,796Lifetime kills
1.18K/D · Top 25% of tracked players
2,843Matches
51.5%Match win rate · Top 25% of tracked players
38.4%Headshot %
14.7%Shot accuracy · Top 50% of tracked players
7,220MVPs
1,013Hours (in match)
2,321Bombs planted
732Bombs defused

Most-used weapons

Lifetime map wins

4,126inferno
2,177dust2
1,343cbble
1,290train
678vertigo
611nuke
138office
133lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.2%Headshot accuracy
37.4%Accuracy (enemy spotted)
38.8%Spray accuracy
80.1%Counter-strafing
8.8°Preaim
558msReaction time
37.2%T opening success
54.8%CT opening success
0.35Enemies flashed / flash
14.4%Flash assists
10.72HE damage / grenade
3.82Flashes / 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. 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 0.3462 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 37.2183% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0314%17 Sept →
dust213–3-0.0143%23 Jul →
anubis11–13-0.039%23 Jul →
anubis8–130.0419%23 Jul →
anubis4–00.0225%23 Jul →
inferno13–5-0.018%18 Jul →
cache1–13-0.0113%18 Jul →
cache13–90.067%18 Jul →
cache2–6-0.0016%15 Jul →
cache13–80.0918%15 Jul →
boulder13–20.0417%9 Jul →
dust28–130.0224%2 Jul →
cache5–13-0.0325%2 Jul →
cache13–50.0210%2 Jul →
cache12–120.0419%2 Jul →
inferno13–20.1516%27 Jun →
ancient12–120.039%26 Jun →
overpass13–50.1318%26 Jun →
cache13–4-0.0629%26 Jun →
cache13–00.0330%26 Jun →
dust21–2-0.170%26 Jun →
cache4–13-0.0716%25 Jun →
ancient13–90.0517%20 Jun →
cache13–6-0.0011%20 Jun →
overpass0–2-0.0414%17 Jun →
ancient0–2-0.120%15 Jun →
dust213–30.0316%15 Jun →
cache10–13-0.0014%14 May →
cache13–30.0013%14 May →
cache6–13-0.026%6 May →
cache0–13-0.110%6 May →
cache13–80.108%6 May →
cache13–30.0922%3 May →
ancient0–3-0.0420%25 Apr →
inferno13–30.0632%25 Apr →
dust212–120.0616%25 Apr →
inferno13–20.0422%5 Apr →
inferno7–90.0441%26 Mar →
overpass7–130.028%25 Mar →
dust29–13-0.0010%25 Mar →
ancient13–90.0913%20 Mar →
dust22–13-0.0111%20 Feb →
overpass13–60.0513%20 Feb →
inferno12–120.0224%12 Feb →
ancient5–90.0214%12 Feb →
ancient10–13-0.0520%5 Feb →
anubis13–100.0616%5 Feb →
warden9–13-0.0128%5 Feb →
dust24–11-0.0629%5 Feb →
inferno0–6-0.050%4 Feb →
dust213–60.0317%4 Feb →
dust213–10.0618%2 Feb →
nuke13–1-0.0316%31 Jan →
mirage13–10.0924%30 Jan →
dust213–60.0811%30 Jan →
alpine10–130.0813%24 Jan →
ancient13–80.0113%24 Jan →
inferno10–130.0117%20 Jan →
overpass13–50.0815%20 Jan →
ancient8–13-0.0317%16 Jan →
overpass13–3-0.0425%15 Jan →
ancient13–50.1618%15 Jan →
dust213–60.0013%9 Jan →
golden12–12-0.0110%9 Jan →
overpass13–10.0413%9 Jan →
train6–1-0.0316%6 Jan →
train3–130.0219%6 Jan →
train13–80.0414%3 Jan →
dust212–12-0.0330%22 Dec →
dust213–90.028%20 Dec →
ancient13–8-0.0011%20 Dec →
dust213–2-0.0517%20 Dec →
dust211–13-0.0116%18 Dec →
vertigo12–120.0416%18 Dec →
vertigo13–6-0.0112%18 Dec →
anubis13–110.0122%16 Dec →
inferno13–40.0111%16 Dec →
dust213–60.1318%16 Dec →
dust213–40.1515%9 Dec →
dust213–40.013%9 Dec →
mirage4–5-0.0116%28 Nov →
mirage12–120.0217%13 Nov →
overpass13–60.0816%13 Nov →
inferno13–10.1310%12 Nov →
dust211–130.0312%7 Nov →
ancient9–00.0920%7 Nov →
train13–60.0213%7 Nov →
inferno13–60.0316%5 Nov →
ancient14–160.1016%5 Nov →
inferno13–40.1413%31 Oct →
ancient13–70.0817%31 Oct →
overpass13–70.085%31 Oct →
inferno5–13-0.0315%20 Oct →
anubis13–10-0.0110%19 Oct →
ancient13–11-0.0213%19 Oct →
ancient13–100.0414%13 Oct →
palacio13–30.1320%13 Oct →
ancient13–80.1321%6 Oct →
inferno13–70.0714%6 Oct →
overpass13–100.0312%6 Oct →

Match data via Leetify.

Recent teammates

Milestones

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

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