Max

Max — CS2 Stats

FR76561198107206428[U:1:146940700]Steam profile ↗✓ No bans

569Tracked matches55%Win rate2020Tracked since
1,082Hours in CS
CSDB Rating4.7 DevelopingSupport
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 16,627 +1,049 24 Jul – 1 Jul · 13 days played
15,57218,975peak 18,97524 Jul1 Jul
18,975Peak Premier in tracked matches
32Days played since 2025-07-17

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

Performance scores

Aim42
Positioning49
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateWLWWLLWLWL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · −3.9pp headshot accuracy · −48ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 540ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 559ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 582ms

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 (+1.3 against its own average).

Aim4.2
Utility5.2
Positioning4.9
Opening Duels2.9
Clutch2.6

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

Twistzz

Plays most like Twistzz 74% 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. 598ms 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

Aim4.2
Positioning4.9
Utility5.2
Mechanics5.3
Opening Duels1.8
Win Impact6.7

Composite 4.7/10 (Developing), 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 rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time608ms−34ms
first ⅓ avg 642ms → last ⅓ avg 608ms
Headshot accuracy18.3%+1.7%
first ⅓ avg 16.6% → last ⅓ avg 18.3%

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

0.13Best match rating · 13–11 · inferno, 23 Jul →
41%Best headshot accuracy · 5–13 · nuke, 1 Aug →
359msFastest reaction time · 10–13 · inferno, 7 Sept →
13–1Biggest win · nuke, 2 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–10In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 75% over 28ancientWeakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
infernoS2821–775%-0.02
nukeB2211–1150%-0.01
overpassC146–843%-0.01
ancientD101–910%-0.01
dust2D82–625%-0.01
anubisA74–357%-0.00
trainD51–420%-0.06
cache—31–233%-0.02
golden—10–10%-0.02
mirage—10–10%-0.01
jura—10–10%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,430Lifetime kills
0.88K/D
2,878Matches
36.5%Match win rate
38.9%Headshot %
15.6%Shot accuracy · Top 25% of tracked players
5,007MVPs
1,082Hours (in match)
1,901Bombs planted
471Bombs defused

Most-used weapons

AK-4711,881
AWP4,424
P901,739
FAMAS1,547
Tec-91,169

Lifetime map wins

4,043cbble
3,657inferno
2,962dust2
1,493vertigo
704nuke
320train
88office
74lake

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

Faceit stats

Combat

111Matches
61%Win rate
0.91Avg K/D
70.0ADR
37%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno333%0.6511.0
Anubis20%0.7313.5
Cache250%0.9218.5
Vertigo1100%0.539.0
Nuke10%0.5811.0
Ancient1100%1.6016.0

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.

17.8%Headshot accuracy
29.6%Accuracy (enemy spotted)
28.8%Spray accuracy
73.8%Counter-strafing
12.0°Preaim
598msReaction time
32.0%T opening success
42.6%CT opening success
0.45Enemies flashed / flash
6.7%Flash assists
7.19HE damage / grenade
7.82Flashes / 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 0.4486 — 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 32.0451% — 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.

10% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–10-0.0518%14 Oct →
inferno10–13-0.068%7 Sept →
inferno13–2-0.038%29 Jul →
ancient13–20.0822%27 Jul →
cache14–16-0.0215%23 Jul →
ancient10–130.0625%13 Jul →
inferno13–6-0.0117%13 Jul →
nuke11–13-0.0312%1 Jul →
overpass13–50.1015%1 Jul →
nuke11–13-0.0112%31 May →
anubis13–90.0117%31 May →
dust24–13-0.0818%31 May →
inferno13–11-0.0411%31 May →
overpass10–13-0.0918%31 May →
inferno13–11-0.0422%21 May →
inferno13–9-0.0221%14 May →
inferno13–70.0235%14 May →
dust213–16-0.0214%13 May →
ancient7–13-0.0222%13 May →
nuke7–13-0.0412%13 May →
anubis2–13-0.0714%13 May →
anubis13–60.0120%13 May →
overpass8–130.0023%12 May →
inferno13–9-0.0510%12 May →
nuke13–8-0.0418%5 May →
anubis13–7-0.0121%5 May →
inferno13–11-0.0420%2 May →
nuke13–10.1230%2 May →
cache12–12-0.0220%2 May →
inferno11–13-0.0521%2 May →
dust29–13-0.0517%2 May →
nuke13–100.0126%2 May →
cache13–6-0.0320%2 May →
dust27–00.0813%2 May →
inferno10–13-0.0429%14 Apr →
ancient6–13-0.0624%14 Apr →
golden10–13-0.0224%18 Oct →
mirage10–13-0.0126%18 Oct →
anubis13–30.0530%25 Aug →
anubis4–130.0335%25 Aug →
anubis6–13-0.0413%25 Aug →
inferno13–6-0.0224%5 Aug →
nuke13–5-0.0518%5 Aug →
overpass13–80.0222%4 Aug →
inferno13–11-0.0024%4 Aug →
train1–13-0.0529%4 Aug →
inferno13–60.0927%3 Aug →
ancient5–13-0.0114%3 Aug →
inferno2–8-0.088%3 Aug →
overpass8–13-0.0224%3 Aug →
overpass13–110.0321%1 Aug →
ancient11–13-0.0315%1 Aug →
overpass6–13-0.0518%1 Aug →
nuke5–13-0.0841%1 Aug →
train7–13-0.1021%31 Jul →
inferno4–13-0.0830%31 Jul →
jura12–12-0.0224%30 Jul →
inferno13–8-0.0315%30 Jul →
train13–11-0.0215%28 Jul →
dust213–50.0215%28 Jul →
overpass13–60.0422%28 Jul →
nuke11–13-0.0021%26 Jul →
inferno13–80.0624%26 Jul →
nuke7–130.0223%26 Jul →
dust211–13-0.0315%26 Jul →
inferno13–6-0.0232%26 Jul →
ancient11–130.019%26 Jul →
nuke13–7-0.0416%26 Jul →
inferno13–8-0.0025%25 Jul →
nuke13–40.0219%25 Jul →
inferno7–13-0.084%25 Jul →
inferno13–40.0717%25 Jul →
nuke16–140.0017%25 Jul →
inferno13–80.0517%25 Jul →
nuke13–60.0518%24 Jul →
overpass13–7-0.0120%24 Jul →
nuke10–13-0.0015%24 Jul →
overpass11–130.0020%24 Jul →
nuke7–13-0.0413%23 Jul →
overpass5–13-0.0815%23 Jul →
inferno13–110.1315%23 Jul →
ancient8–13-0.0025%23 Jul →
nuke7–13-0.107%23 Jul →
train0–13-0.1329%23 Jul →
dust22–13-0.0314%23 Jul →
nuke13–60.0326%22 Jul →
inferno5–13-0.1420%22 Jul →
ancient1–13-0.1116%22 Jul →
overpass7–13-0.0328%22 Jul →
nuke15–15-0.0313%21 Jul →
overpass5–13-0.066%21 Jul →
train15–15-0.0124%21 Jul →
nuke13–10.034%21 Jul →
nuke11–13-0.0417%21 Jul →
overpass13–50.0217%20 Jul →
inferno13–50.0219%20 Jul →
dust24–130.0416%20 Jul →
ancient4–13-0.0512%20 Jul →
nuke13–11-0.0018%17 Jul →
inferno13–10-0.0511%17 Jul →

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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