MaxVerstrappon

MaxVerstrappon — CS2 Stats

MG76561198834144997[U:1:873879269]Steam profile ↗✓ No bans

240Tracked matches43%Win rate2023Tracked since
1,238Hours in CS28Hrs last 2 wks
CSDB Rating5.0 DevelopingClutch Specialist
Premier CS Rating12,612Blue band · top ~41.1% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Nov 2026 (5 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: 12,612 +1,918 23 Aug – 9 Nov · 18 days played
10,57314,474peak 14,47423 Aug9 Nov
14,830Peak Premier in tracked matches
46Days played since 2026-08-15

Premier CS Rating

  • 1,862 below peak (14,474)
  • -694 over 30 days · declining
  • +1,918 over 90 days
  • Next: Purple band at 15,000 — 2,388 to go
  • Reached: 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate49.3%42.0%44.4%above
Shot accuracy14.2%9.6%11.9%above
Kill/death ratio1.010.981.030.02 short
Match win rate39.3%43.8%45.2%6.0% short

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

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

Share this profile

CSDB.GGMaxVerstrapponPREMIER12,612 · Blue 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

Aim47
Positioning53
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateWLWLWLWLWL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −2.6pp headshot accuracy · +15ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 599ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 651ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 643ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+4 against its own average).

Aim4.7
Utility6.6
Positioning5.3
Opening Duels2.2
Clutch10.0

Effective flashesReliable in 1v1s

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 67% 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

CT openings. Opening success drops from 60% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 673ms 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

Aim4.7
Positioning5.3
Utility6.6
Mechanics7.1
Opening Duels4.9
Win Impact2.8

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time673ms−28ms
first ⅓ avg 701ms → last ⅓ avg 673ms
Headshot accuracy16.2%−5.4%
first ⅓ avg 21.7% → last ⅓ avg 16.2%

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

0.24Best match rating · 9–0 · poseidon, 29 Sept →
56%Best headshot accuracy · 7–9 · poseidon, 16 Aug →
469msFastest reaction time · 13–4 · ancient, 15 Aug →
13–2Biggest win · mirage, 7 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–10In matches decided by ≤2 rounds
4Overtime games

Map breakdown

poseidonBest map · 65% over 17infernoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC239–1439%-0.00
poseidonS1711–665%0.04
nukeA117–464%0.01
dust2A117–464%-0.02
infernoC83–538%-0.01
ancientC73–443%-0.02
anubisB63–350%-0.03
vertigoB63–350%-0.02
cache—30–30%-0.04
debris—31–233%-0.05
eldorado—20–20%-0.19
italy—10–10%0.01
train—10–10%-0.07
fachwerk—11–0100%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,856Lifetime kills
1.01K/D · Top 50% of Blue band
2,389Matches
39.3%Match win rate
49.3%Headshot % · Top 25% of Blue band
14.2%Shot accuracy · Top 25% of Blue band
4,750MVPs
760Hours (in match)
1,221Bombs planted
397Bombs defused

Most-used weapons

Lifetime map wins

2,503inferno
1,643dust2
1,253nuke
933vertigo
777train
460cbble
108safehouse
101lake

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

Faceit stats

Combat

10Matches
60%Win rate
0.82Avg K/D
85.6ADR
49%Headshot %

Clutches & streaks

75%1v1 clutch win
25%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1100%1.8626.0
Anubis1100%0.7218.0
Ancient1100%0.9212.0

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.

16.4%Headshot accuracy
28.7%Accuracy (enemy spotted)
29.5%Spray accuracy
82.1%Counter-strafing
9.4°Preaim
673msReaction time
59.7%T opening success
39.4%CT opening success
0.73Enemies flashed / flash
7.4%Flash assists
9.08HE damage / grenade
9.69Flashes / 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. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.4092% — below the 40% mark we flag

Spend your practice time on Inferno

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–7-0.0415%13 Nov →
nuke2–13-0.0524%12 Nov →
dust213–90.0118%12 Nov →
italy11–130.0124%11 Nov →
mirage7–0-0.050%10 Nov →
mirage7–130.0218%10 Nov →
mirage13–40.054%9 Nov →
mirage11–13-0.0611%8 Nov →
nuke13–7-0.0312%8 Nov →
dust28–13-0.0420%5 Nov →
mirage8–13-0.047%5 Nov →
dust21–13-0.1015%4 Nov →
mirage13–70.0617%4 Nov →
inferno13–110.0013%3 Nov →
anubis16–13-0.0121%3 Nov →
mirage10–13-0.0016%2 Nov →
nuke9–13-0.0525%28 Oct →
anubis16–14-0.045%28 Oct →
inferno2–8-0.0120%27 Oct →
dust27–130.0031%27 Oct →
vertigo6–13-0.0311%26 Oct →
mirage13–80.0621%26 Oct →
inferno13–9-0.0124%26 Oct →
train1–13-0.074%25 Oct →
cache8–13-0.0324%25 Oct →
ancient6–13-0.067%25 Oct →
dust213–60.0412%22 Oct →
nuke13–70.0322%22 Oct →
ancient3–130.0019%21 Oct →
anubis11–130.0119%21 Oct →
mirage13–70.0115%21 Oct →
vertigo0–10-0.0619%21 Oct →
mirage7–13-0.0421%21 Oct →
dust213–8-0.0432%21 Oct →
mirage4–13-0.0226%20 Oct →
nuke10–130.0722%20 Oct →
mirage13–11-0.0018%19 Oct →
anubis13–10-0.0420%19 Oct →
nuke13–8-0.0114%18 Oct →
mirage1–13-0.0132%18 Oct →
anubis8–13-0.0528%13 Oct →
poseidon6–9-0.0428%11 Oct →
poseidon9–70.0633%11 Oct →
inferno5–13-0.0125%11 Oct →
inferno11–13-0.0133%8 Oct →
vertigo13–7-0.0125%8 Oct →
mirage13–20.0113%7 Oct →
nuke13–90.0316%6 Oct →
ancient13–5-0.0211%6 Oct →
ancient8–130.0824%6 Oct →
dust213–60.0112%5 Oct →
mirage11–13-0.049%5 Oct →
vertigo13–60.0016%5 Oct →
vertigo13–100.0018%4 Oct →
nuke10–9-0.0227%4 Oct →
dust213–6-0.0016%30 Sept →
poseidon9–00.2424%29 Sept →
poseidon9–60.1228%28 Sept →
nuke9–13-0.0022%27 Sept →
vertigo12–12-0.0227%27 Sept →
poseidon4–9-0.1046%23 Sept →
inferno7–13-0.039%21 Sept →
mirage11–130.0217%21 Sept →
poseidon9–6-0.0416%20 Sept →
poseidon9–7-0.0330%20 Sept →
poseidon7–9-0.0827%20 Sept →
mirage8–13-0.0631%20 Sept →
poseidon5–9-0.0728%19 Sept →
ancient11–13-0.057%19 Sept →
poseidon9–40.0915%19 Sept →
nuke13–90.0213%17 Sept →
mirage6–130.0523%17 Sept →
inferno12–160.0022%12 Sept →
dust213–7-0.0221%12 Sept →
mirage13–20.0327%11 Sept →
mirage5–13-0.0127%9 Sept →
poseidon9–30.1629%8 Sept →
anubis8–13-0.0517%8 Sept →
cache7–13-0.0612%3 Sept →
mirage7–130.0013%3 Sept →
cache3–13-0.0419%1 Sept →
inferno13–60.0216%1 Sept →
fachwerk13–10-0.0410%26 Aug →
dust22–13-0.0624%26 Aug →
mirage11–13-0.0121%23 Aug →
dust213–6-0.0136%23 Aug →
poseidon9–70.0131%23 Aug →
mirage16–130.0317%23 Aug →
debris4–9-0.1022%23 Aug →
poseidon9–60.1639%23 Aug →
poseidon9–70.0917%20 Aug →
debris6–90.008%20 Aug →
poseidon8–8-0.0031%20 Aug →
eldorado3–9-0.1919%20 Aug →
poseidon7–9-0.0556%16 Aug →
eldorado4–9-0.195%16 Aug →
poseidon9–10.1143%16 Aug →
debris9–4-0.0621%16 Aug →
nuke13–40.0814%15 Aug →
ancient13–4-0.0310%15 Aug →

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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