Max1_Be

Max1_Be — CS2 Stats

76561198909103263[U:1:948837535]Steam profile ↗✓ No bans

231Tracked matches59%Win rate2025Tracked since
362Hours in CS
CSDB Rating5.7 SolidAll-Rounder
Premier CS Rating15,156Purple band · top ~27.8% of ranked players (population est.)
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (40 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,156 +3,475 23 Jul – 26 Sept · 23 days played
11,45615,156peak 15,15623 Jul26 Sept
15,156Peak Premier in tracked matches
47Days played since 2026-07-15

Premier CS Rating

  • At peak — 15,156
  • +1,660 over 30 days · improving
  • Next: Pink band at 20,000 — 4,844 to go
  • Reached: Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate32.3%44.4%46.9%14.6% short
Shot accuracy0.0%11.9%13.0%13.0% short
Kill/death ratio1.221.031.08above
Match win rate50.3%45.2%46.7%above

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMax1_BePREMIER15,156 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim68
Positioning53
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY59–34–7Last 10059%Win rateWLLLLLWWLW

Last 10 vs previous 10: −30pp win rate · −0.05 avg rating · −9.0pp headshot accuracy · −123ms 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 -0.03
  • Avg headshot accuracy 6%
  • Avg reaction 419ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 7%
  • Avg reaction 476ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 537ms

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.

Aim6.8
Utility5.2
Positioning5.3
Opening Duels3.4

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 89% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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. 595ms 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

Aim6.8
Positioning5.3
Utility5.2
Mechanics4.2
Opening Duels4.0
Win Impact7.9

Composite 5.7/10 (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 rating0.01−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time562ms+34ms
first ⅓ avg 528ms → last ⅓ avg 562ms
Headshot accuracy12.2%−0.1%
first ⅓ avg 12.3% → last ⅓ avg 12.2%

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.

Personal bests

0.25Best match rating · 13–1 · mirage, 18 Jul →
75%Best headshot accuracy · 9–4 · vertigo, 17 Aug →
328msFastest reaction time · 1–13 · anubis, 4 Aug →
13–0Biggest win · nuke, 5 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
6–6In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 73% over 15mirageWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
infernoB2010–1050%0.04
nukeS1711–665%0.06
dust2S1511–473%0.04
cacheS128–467%0.03
ancientA127–558%0.01
mirageC104–640%0.03
anubisC73–443%-0.00
vertigo—42–250%0.09
debris—22–0100%0.22
office—11–0100%0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 10). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,411Lifetime kills
1.22K/D · Top 25% of Purple band
1,139Matches
50.3%Match win rate · Top 25% of Purple band
32.3%Headshot %
0.0%Shot accuracy
2,535MVPs
362Hours (in match)
1,624Bombs planted
252Bombs defused

Most-used weapons

Lifetime map wins

2,444dust2
1,527nuke
1,465inferno
200train
195vertigo
163office
11ar_shoots
7ar_baggage

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.

13.3%Headshot accuracy
38.0%Accuracy (enemy spotted)
41.5%Spray accuracy
68.7%Counter-strafing
8.2°Preaim
595msReaction time
43.2%T opening success
48.7%CT opening success
0.67Enemies flashed / flash
4.8%Flash assists
8.49HE damage / grenade
6.82Flashes / 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. 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 13.3016% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache2–00.000%4 Nov →
dust24–130.035%19 Oct →
ancient6–13-0.1015%14 Oct →
anubis0–50.000%6 Oct →
cache1–13-0.099%29 Sept →
ancient5–13-0.099%26 Sept →
dust213–80.0712%25 Sept →
ancient13–9-0.049%23 Sept →
nuke6–130.026%22 Sept →
dust211–50.073%20 Sept →
dust213–110.0221%18 Sept →
cache13–40.0618%18 Sept →
nuke13–100.0917%18 Sept →
anubis13–100.0112%18 Sept →
inferno13–40.0521%18 Sept →
anubis7–130.0922%13 Sept →
dust213–100.0515%6 Sept →
mirage8–13-0.0312%6 Sept →
mirage13–90.0113%6 Sept →
nuke12–12-0.027%5 Sept →
inferno1–13-0.0215%5 Sept →
inferno13–8-0.015%5 Sept →
dust210–13-0.0613%4 Sept →
inferno13–20.0420%4 Sept →
office13–20.0713%2 Sept →
nuke6–130.0219%2 Sept →
inferno13–100.0125%2 Sept →
dust211–130.0314%2 Sept →
inferno8–80.0522%1 Sept →
nuke13–110.0914%31 Aug →
ancient13–90.079%26 Aug →
mirage10–130.058%26 Aug →
inferno1–9-0.200%25 Aug →
anubis13–60.038%24 Aug →
nuke10–130.0315%24 Aug →
nuke6–90.1926%24 Aug →
inferno9–60.0338%21 Aug →
vertigo8–80.1118%21 Aug →
ancient2–130.0710%20 Aug →
inferno8–80.048%20 Aug →
inferno10–130.0211%18 Aug →
nuke13–7-0.0114%17 Aug →
vertigo9–40.0575%17 Aug →
ancient15–150.0610%16 Aug →
vertigo6–130.095%16 Aug →
inferno11–130.0110%16 Aug →
nuke13–70.1923%15 Aug →
cache13–50.0917%15 Aug →
dust213–60.1218%13 Aug →
inferno10–130.0815%13 Aug →
ancient13–90.065%11 Aug →
debris9–50.2513%10 Aug →
debris9–30.1925%10 Aug →
nuke9–60.139%10 Aug →
inferno9–60.1215%10 Aug →
inferno8–80.1612%10 Aug →
dust213–9-0.0212%10 Aug →
mirage11–13-0.035%10 Aug →
mirage11–13-0.0218%9 Aug →
cache8–13-0.0121%9 Aug →
nuke9–30.0513%9 Aug →
cache10–130.017%7 Aug →
nuke13–00.0612%5 Aug →
inferno9–50.0710%5 Aug →
inferno9–30.1524%4 Aug →
anubis1–13-0.0617%4 Aug →
inferno11–130.0510%3 Aug →
vertigo13–20.104%29 Jul →
nuke4–13-0.0414%27 Jul →
dust213–100.0522%27 Jul →
ancient6–130.018%25 Jul →
cache13–60.1315%25 Jul →
inferno13–110.0621%25 Jul →
ancient13–50.009%25 Jul →
ancient13–2-0.0110%25 Jul →
dust213–80.048%25 Jul →
mirage13–16-0.0422%24 Jul →
dust28–13-0.096%24 Jul →
nuke16–130.1013%23 Jul →
cache13–70.0122%23 Jul →
dust213–60.0311%22 Jul →
cache12–120.0611%21 Jul →
inferno9–130.0410%20 Jul →
dust29–10.1318%20 Jul →
anubis16–130.0115%20 Jul →
nuke13–20.069%20 Jul →
dust213–60.096%20 Jul →
inferno13–11-0.0011%20 Jul →
ancient13–80.0810%19 Jul →
mirage13–10.258%18 Jul →
mirage11–13-0.0010%18 Jul →
cache13–30.0117%18 Jul →
mirage9–40.0718%18 Jul →
cache13–20.0221%18 Jul →
ancient13–40.048%18 Jul →
mirage13–40.017%18 Jul →
nuke13–100.079%17 Jul →
nuke13–5-0.0110%17 Jul →
cache13–110.086%15 Jul →
anubis4–13-0.1017%15 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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