Max Verstappen

Max Verstappen — CS2 Stats

MN76561199152537745[U:1:1192272017]Steam profile ↗

2,404Tracked matches52%Win rate2023Tracked since
3,014Hours in CS45Hrs last 2 wks
CSDB Rating6.2 SolidAggressive Rifler
FaceitLevel 10 · 2,581 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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 playerLevel 10 median
Headshot rate65.6%52.0%
Shot accuracy0.4%13.7%
Kill/death ratio1.521.08
Match win rate49.0%48.8%

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CSDB.GGMax VerstappenFACEITLevel 10 · 2,581 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim75
Positioning56
Utility68

0–100 skill scores via Leetify.

Recent form

HOT47521Last 10047%Win rateWLWWWWLWWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.5
Aggression7.4
Utility6.8
Positioning5.6
Opening Duels2.9
Clutch3.8

Strong CT-side openerEffective flashes

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

b1t

Plays most like b1t 92% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: 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

T-side openings. Opening success drops from 51% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 559ms 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

Aim7.5
Positioning5.6
Utility6.8
Mechanics5.8
Opening Duels2.9
Win Impact5.6

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time549ms−15ms
first ⅓ avg 564ms → last ⅓ avg 549ms
Headshot accuracy22.4%+1.2%
first ⅓ avg 21.2% → last ⅓ avg 22.4%

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.

Highlights

0.12Best rating — cache 6–13
131Biggest win — ancient
5Longest win streak
1015In matches decided by ≤2 rounds
15Overtime games

Map breakdown

ancientBest map · 71% over 28trainWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
ancientS2820871%0.03
anubisC1981142%0.00
mirageB179853%0.00
nukeD82625%0.00
cacheC73443%0.02
dust2B63350%0.02
infernoD51420%0.02
overpassD51420%0.04
trainD5050%-0.02

Across the last 100 tracked matches.

Lifetime stats

127,701Lifetime kills
1.52K/D · Top 10% of Level 10 players
3,758Matches
49.0%Match win rate · Top 50% of Level 10 players
65.6%Headshot % · Top 10% of Level 10 players
0.4%Shot accuracy
10,691MVPs
1,629Hours (in match)
2,435Bombs planted
787Bombs defused

Most-used weapons

AK-4774,090
AWP4,788
Knife2,174
FAMAS1,676
MP91,500

Lifetime map wins

2,483vertigo
2,336nuke
2,044inferno
1,789dust2
1,311train
21office
2ar_shoots

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

Faceit stats

Combat

2,626Matches
51%Win rate
1.19Avg K/D
93.4ADR
53%Headshot %

Clutches & streaks

39%1v1 clutch win
24%1v2 clutch win
14Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage77653%1.1918.6
Ancient64055%1.2218.8
Anubis46052%1.2118.4
Nuke15743%1.1818.7
Dust212646%1.0716.1
Inferno11543%1.0817.1
Vertigo10848%1.1618.1
Train10056%1.2118.6

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.

22.3%Headshot accuracy
33.2%Accuracy (enemy spotted)
37.5%Spray accuracy
76.1%Counter-strafing
8.9°Preaim
559msReaction time
32.5%T opening success
51.1%CT opening success
0.72Enemies flashed / flash
12.6%Flash assists
9.61HE damage / grenade
9.91Flashes / 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

    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 32.4625% — below the 40% mark we flag

Spend your practice time on Train

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
ancient13–6-0.0517%24 Aug
anubis14–160.0020%21 Aug
ancient13–10-0.0226%20 Aug
anubis13–10-0.0216%17 Aug
ancient13–60.0918%7 Aug
ancient13–100.009%7 Aug
inferno8–130.0422%6 Aug
ancient13–30.0621%6 Aug
ancient13–50.0432%4 Aug
anubis7–130.0622%4 Aug
cache13–90.0616%3 Aug
dust213–11-0.0030%25 Jul
cache7–130.0220%21 Jul
cache6–130.1234%21 Jul
cache5–13-0.0129%20 Jul
ancient16–13-0.0317%16 Jul
ancient13–11-0.0233%14 Jul
nuke15–15-0.0026%14 Jul
mirage11–13-0.0137%14 Jul
cache13–8-0.0316%14 Jul
ancient13–70.1026%10 Jul
inferno11–13-0.0124%6 Jul
anubis13–6-0.0223%1 Jul
anubis11–130.0120%28 Jun
mirage14–16-0.0115%12 Jun
anubis10–130.0120%12 Jun
mirage7–130.0427%12 Jun
ancient13–10.0720%16 May
overpass5–130.0027%15 May
mirage14–16-0.0614%14 May
ancient7–13-0.0119%9 May
anubis9–130.0320%5 May
mirage9–130.0424%5 May
dust213–60.0721%5 May
cache8–13-0.0430%1 May
mirage14–16-0.0416%1 May
ancient16–140.0413%1 May
dust213–160.0317%30 Apr
ancient7–130.0116%29 Apr
anubis11–13-0.0732%25 Apr
cache13–8-0.0213%22 Apr
ancient13–90.0316%20 Apr
mirage13–4-0.0016%20 Apr
ancient13–11-0.0014%18 Apr
inferno4–13-0.0121%16 Apr
anubis5–130.0519%12 Apr
mirage13–80.0325%11 Apr
inferno17–19-0.0012%8 Apr
anubis13–110.0419%2 Apr
anubis13–80.0318%1 Apr
inferno13–30.0921%1 Apr
mirage13–90.0022%27 Mar
ancient11–130.0119%27 Mar
mirage13–40.0022%27 Mar
ancient13–50.0425%27 Mar
nuke6–13-0.0014%26 Mar
ancient13–110.0922%15 Mar
anubis13–100.0418%8 Mar
ancient13–60.0735%7 Mar
ancient16–130.0524%4 Mar
anubis13–110.0323%2 Mar
ancient8–130.0227%2 Mar
anubis8–13-0.0223%1 Mar
anubis6–130.0118%17 Feb
nuke10–130.0215%16 Feb
mirage19–170.0521%12 Feb
ancient10–13-0.0424%9 Feb
mirage8–130.0122%1 Feb
nuke7–130.0220%1 Feb
nuke13–110.0319%1 Feb
overpass13–100.0111%26 Jan
mirage13–80.0120%26 Jan
anubis5–13-0.0231%19 Jan
mirage13–50.0823%19 Jan
train9–13-0.0624%18 Jan
anubis16–13-0.0121%18 Jan
anubis8–13-0.0525%14 Jan
train3–13-0.0617%12 Jan
dust210–13-0.0324%8 Jan
ancient13–90.0736%3 Jan
dust23–13-0.0114%3 Jan
train10–130.0120%18 Dec
ancient4–13-0.0113%3 Dec
overpass11–130.0627%1 Dec
anubis13–10-0.0215%30 Nov
overpass11–130.0621%30 Nov
mirage19–160.0322%29 Nov
train11–13-0.0124%29 Nov
mirage13–10.0027%29 Nov
ancient13–100.0230%27 Nov
overpass11–130.0826%26 Nov
dust213–80.0424%23 Nov
ancient13–60.1118%16 Nov
train14–160.0115%16 Nov
ancient8–130.0421%13 Nov
mirage5–13-0.0814%8 Nov
nuke13–110.0120%8 Nov
nuke16–19-0.0019%7 Nov
ancient9–13-0.0211%7 Nov
nuke5–13-0.0427%6 Nov

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →