Max verstappen — CS2 Stats

76561199402681196[U:1:1442415468]

811Tracked matches52%Win rate2022Tracked since
1,477Hours in CS14Hrs last 2 wks
CSDB Rating5.1 DevelopingAggressive Rifler
FaceitLevel 3 · 835 ELOTop 90.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,149), 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 3 medianLevel 4 medianvs Level 4
Headshot rate47.3%42.2%42.7%above
Shot accuracy6.3%11.9%10.8%4.5% short
Kill/death ratio0.730.981.000.27 short
Match win rate38.1%43.6%44.1%6.0% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMax verstappenFACEITLevel 3 · 835 ELOSTANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim71
Positioning47
Utility46

0–100 skill scores via Leetify.

Recent form

HOT40564Last 10040%Win rateWLWLWWLWWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

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

Aim7.1
Aggression8.8
Utility4.6
Positioning4.7
Opening Duels3.0
Clutch2.8

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 86% playstyle similarity

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

Where you differ: lower utility contribution; 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. 648ms 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

Aim7.1
Positioning4.7
Utility4.6
Mechanics7.1
Opening Duels3.0
Win Impact5.6

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.05
first ⅓ avg -0.04 → last ⅓ avg 0.01
Reaction time653ms−48ms
first ⅓ avg 701ms → last ⅓ avg 653ms
Headshot accuracy21.5%+4.3%
first ⅓ avg 17.2% → last ⅓ avg 21.5%

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

0.23Best rating — cache 13–1
131Biggest win — cache
4Longest win streak
2Overtime games

Map breakdown

mirageBest map · 53% over 30ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB30161453%-0.03
anubisD1651131%-0.02
infernoD113827%-0.05
nukeD82625%-0.06
vertigoC73443%-0.02
officeC73443%0.02
cacheB63350%0.08
ancientD51420%0.01
trainC52340%0.01
overpass32167%0.00
dust22020%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,387Lifetime kills
0.73K/D
2,312Matches
38.1%Match win rate
47.3%Headshot % · Top 50% of Level 3 players
6.3%Shot accuracy
4,235MVPs
1,122Hours (in match)
1,105Bombs planted
1,261Bombs defused

Most-used weapons

Lifetime map wins

1,387inferno
1,333vertigo
1,276nuke
1,170dust2
276office
174train
172cbble
38lake

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

Faceit stats

Combat

246Matches
49%Win rate
0.92Avg K/D
64.6ADR
47%Headshot %

Clutches & streaks

34%1v1 clutch win
14%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage9357%1.0012.9
Ancient4038%0.8512.3
Anubis2952%0.8110.7
Dust21839%0.8711.8
Nuke1533%0.7713.1
Inferno560%0.8010.8
Overpass450%0.7210.8
Vertigo20%0.7411.5

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.

22.4%Headshot accuracy
32.0%Accuracy (enemy spotted)
34.0%Spray accuracy
82.2%Counter-strafing
7.9°Preaim
648msReaction time
42.4%T opening success
41.6%CT opening success
0.58Enemies flashed / flash
2.3%Flash assists
3.95HE damage / grenade
8.76Flashes / match

Recommended for you

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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–3-0.007%28 Aug
anubis4–13-0.028%19 Aug
ancient13–100.0218%19 Aug
dust26–13-0.0818%14 Aug
anubis13–30.1121%14 Aug
cache13–40.0626%14 Aug
mirage8–13-0.0052%12 Aug
anubis11–6-0.0511%7 Aug
mirage13–20.0816%7 Aug
mirage13–50.0630%7 Aug
mirage1–8-0.140%28 Jul
mirage13–100.0338%16 Jul
inferno5–9-0.0721%16 Jul
nuke6–90.0130%16 Jul
vertigo9–5-0.0919%16 Jul
mirage13–11-0.0312%15 Jul
office5–130.0119%13 Jul
ancient9–13-0.0119%12 Jul
cache13–10.2324%12 Jul
cache12–120.1224%7 Jul
cache13–20.0415%7 Jul
inferno9–6-0.0219%3 Jul
train13–30.1124%18 Jun
train6–13-0.0435%18 Jun
train9–13-0.0624%18 Jun
mirage4–13-0.0029%14 Jun
mirage7–13-0.0224%13 Jun
office13–60.0921%13 Jun
mirage13–8-0.0416%4 Jun
mirage13–40.0039%4 Jun
vertigo9–130.0516%3 Jun
vertigo1–13-0.087%3 Jun
vertigo2–13-0.0029%3 Jun
mirage8–13-0.0230%2 Jun
inferno1–13-0.060%29 May
dust29–13-0.0226%29 May
mirage8–13-0.099%28 May
anubis6–130.0533%27 May
anubis4–13-0.0523%27 May
mirage13–9-0.116%26 May
nuke13–7-0.0536%22 May
overpass13–10.0929%22 May
vertigo9–50.0227%22 May
inferno2–9-0.1236%22 May
cache8–13-0.0717%22 May
mirage5–13-0.115%22 May
mirage13–5-0.0115%17 May
inferno10–13-0.0426%17 May
overpass9–60.0122%16 May
nuke2–9-0.0913%16 May
office13–5-0.0023%16 May
office3–13-0.0725%16 May
office13–20.0623%16 May
cache12–120.0724%7 May
mirage13–8-0.0215%6 May
inferno2–9-0.0914%24 Apr
train9–13-0.0020%23 Apr
train13–90.0113%22 Apr
anubis13–60.0324%22 Apr
inferno8–80.0413%16 Apr
overpass5–9-0.0924%16 Apr
inferno3–9-0.0817%16 Apr
vertigo9–50.1127%16 Apr
office12–120.0220%16 Apr
mirage13–9-0.0110%14 Apr
mirage13–100.0119%14 Apr
mirage13–8-0.0315%12 Apr
anubis9–13-0.0319%12 Apr
inferno7–9-0.049%28 Mar
mirage6–13-0.0115%28 Mar
anubis12–16-0.0417%23 Mar
mirage10–13-0.0432%19 Mar
vertigo3–9-0.1710%18 Mar
nuke10–13-0.0717%18 Mar
mirage9–13-0.023%15 Mar
mirage2–130.0022%15 Mar
anubis13–20.0423%8 Mar
office10–130.0319%6 Mar
ancient7–130.0933%4 Mar
anubis6–13-0.0515%1 Mar
anubis7–13-0.0911%1 Mar
anubis7–13-0.0718%20 Feb
mirage13–60.0123%16 Feb
mirage8–13-0.0224%4 Feb
anubis5–13-0.0512%4 Feb
inferno13–10-0.0318%31 Jan
anubis12–16-0.0417%31 Jan
mirage13–5-0.110%26 Jan
inferno13–50.0117%26 Jan
nuke13–100.0827%25 Jan
mirage6–13-0.0417%25 Jan
anubis13–11-0.0319%25 Jan
mirage6–13-0.1513%24 Jan
mirage13–30.0214%24 Jan
anubis6–13-0.075%24 Jan
nuke5–13-0.0430%22 Jan
nuke0–9-0.260%20 Dec
ancient7–13-0.0435%19 Dec
nuke6–9-0.0717%18 Dec
ancient10–13-0.0121%18 Dec

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 →