Maxelsen

Maxelsen — CS2 Stats

76561197980554754[U:1:20289026]Steam profile ↗✓ No bans

1,665Tracked matches53%Win rate2020Tracked since
4,310Hours in CS9Hrs last 2 wks
CSDB Rating6.1 SolidSupport
Premier CS Rating22,739Top 25% of 211,308 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)
CSDB Leaderboard#46280 of 258284 tracked
FaceitLevel 8 · 1,841 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 2026 (10 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: 22,739 +1,385 23 Mar – 18 Oct · 19 days played
18,60624,285peak 24,28523 Mar18 Oct
24,285Peak Premier in tracked matches
1,841Highest Faceit ELO seen on CSDB
28Days played since 2026-03-23

Faceit ELO

  • At peak — 1,841
  • Next: Level 10 at 2,001 — 160 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

Premier CS Rating

  • 1,546 below peak (24,285)
  • -485 over 30 days · declining
  • Next: Red band at 25,000 — 2,261 to go
  • Reached: Pink band · 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 Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate42.4%46.8%48.2%5.8% short
Shot accuracy18.8%13.0%13.2%above
Kill/death ratio1.231.061.07above
Match win rate49.1%46.3%46.9%above

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMaxelsenFACEITLevel 8 · 1,841 ELOSTANDINGTop 31.2% of rankedPREMIER22,739 · Pink bandPEAK ELO1,841csdb.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

Aim69
Positioning58
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateLWLLLLLWWW

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · +1.6pp headshot accuracy · +42ms reaction

Win rate down 20pp 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 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 514ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 554ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 533ms

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 (+1.5 against its own average).

Aim6.9
Utility5.8
Positioning5.8
Opening Duels2.4
Clutch3.4

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

iM

Plays most like iM 86% 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

Strengths

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 62% on T to 33% on CT — first contacts on the defending side are being lost.

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

Aim6.9
Positioning5.8
Utility5.8
Mechanics5.7
Opening Duels4.4
Win Impact6.1

Composite 6.1/10 (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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time534ms−43ms
first ⅓ avg 577ms → last ⅓ avg 534ms
Headshot accuracy17.7%−1.2%
first ⅓ avg 18.9% → last ⅓ avg 17.7%

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

0.18Best match rating · 4–1 · nuke, 8 Apr →
42%Best headshot accuracy · 5–13 · inferno, 18 Sept →
391msFastest reaction time · 13–11 · inferno, 18 Oct →
13–1Biggest win · inferno, 29 Mar →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 69% over 32mirageWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoS3222–1069%0.02
ancientD174–1324%0.03
nukeC167–944%0.02
dust2B126–650%0.03
anubisA116–555%-0.01
mirageD51–420%0.01
cache—31–233%-0.01
overpass—20–20%0.01
train—11–0100%0.07
vertigo—10–10%0.13

Across the last 100 tracked matches.

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

Lifetime stats

137,478Lifetime kills
1.23K/D · Top 25% of Level 8 players
6,066Matches
49.1%Match win rate · Top 25% of Level 8 players
42.4%Headshot %
18.8%Shot accuracy · Top 10% of Level 8 players
16,775MVPs
2,646Hours (in match)
7,251Bombs planted
1,785Bombs defused

Most-used weapons

AK-4734,451
AWP13,293
XM10149,513
MAC-104,737
P2504,269
Tec-94,114

Lifetime map wins

17,227inferno
7,693dust2
5,678nuke
5,478vertigo
2,195train
1,947cbble
197office
148lake

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

Faceit stats

Combat

1,102Matches
51%Win rate
1.09Avg K/D
82.2ADR
45%Headshot %

Clutches & streaks

37%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno15764%1.2217.3
Vertigo6740%1.0717.1
Nuke6043%0.9816.0
Ancient6047%1.0716.1
Anubis4549%1.0116.5
Dust23342%0.9213.8
Mirage1250%1.2614.6
Overpass1275%1.3417.5

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.

17.5%Headshot accuracy
35.9%Accuracy (enemy spotted)
35.5%Spray accuracy
75.7%Counter-strafing
10.8°Preaim
533msReaction time
62.3%T opening success
33.0%CT opening success
0.54Enemies flashed / flash
4.3%Flash assists
14.86HE damage / grenade
5.56Flashes / 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 33.0416% — below the 40% mark we flag

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.

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–13-0.0519%18 Oct →
inferno13–11-0.0116%18 Oct →
ancient8–130.0825%18 Oct →
dust211–130.0816%15 Oct →
inferno7–130.0222%15 Oct →
anubis1–13-0.078%4 Oct →
anubis3–130.0121%4 Oct →
inferno13–100.0314%23 Sept →
inferno13–9-0.0213%23 Sept →
inferno13–5-0.0118%23 Sept →
inferno13–20.0017%20 Sept →
inferno16–130.0411%20 Sept →
inferno16–120.0720%19 Sept →
ancient10–130.0119%19 Sept →
anubis13–10-0.016%19 Sept →
inferno9–13-0.0013%19 Sept →
anubis13–50.0313%19 Sept →
inferno13–8-0.0221%19 Sept →
nuke10–130.006%19 Sept →
nuke7–13-0.0230%19 Sept →
anubis10–130.0025%19 Sept →
nuke13–8-0.0114%19 Sept →
dust213–9-0.0120%19 Sept →
nuke22–20-0.0318%19 Sept →
mirage8–130.0321%19 Sept →
anubis13–50.1224%19 Sept →
ancient13–80.0116%19 Sept →
mirage3–13-0.0321%19 Sept →
anubis12–16-0.0211%19 Sept →
inferno13–60.0835%18 Sept →
inferno13–30.0515%18 Sept →
inferno22–190.0525%18 Sept →
ancient13–50.0414%18 Sept →
nuke11–130.0521%18 Sept →
inferno13–90.0720%18 Sept →
anubis10–13-0.0820%18 Sept →
ancient13–110.0420%18 Sept →
nuke13–70.1410%18 Sept →
dust22–13-0.0514%18 Sept →
ancient11–130.0718%18 Sept →
inferno5–13-0.0142%18 Sept →
nuke8–13-0.0216%18 Sept →
dust213–70.0815%18 Sept →
ancient9–13-0.0114%18 Sept →
dust22–13-0.0013%18 Sept →
inferno10–13-0.0517%17 Sept →
dust213–8-0.0330%17 Sept →
cache13–100.0618%17 Sept →
cache0–13-0.0416%13 Sept →
inferno13–50.0610%13 Sept →
ancient13–16-0.0111%13 Sept →
dust213–80.1115%8 Sept →
anubis13–10-0.0111%8 Sept →
inferno13–6-0.0124%8 Sept →
nuke2–13-0.0614%8 Sept →
inferno7–130.0517%6 Sept →
mirage10–130.0231%3 Sept →
mirage13–110.0013%3 Sept →
dust213–70.0218%3 Sept →
nuke13–30.1419%30 Aug →
inferno13–80.0327%30 Aug →
anubis13–9-0.0112%25 May →
ancient6–13-0.0514%25 May →
ancient10–13-0.0520%11 May →
nuke6–130.0231%5 May →
ancient7–130.148%5 May →
nuke13–11-0.0416%3 May →
nuke8–13-0.0112%24 Apr →
inferno10–13-0.0219%24 Apr →
dust211–130.0116%24 Apr →
nuke5–130.0527%21 Apr →
inferno3–13-0.0141%21 Apr →
train13–80.0711%21 Apr →
ancient8–13-0.0223%14 Apr →
inferno13–110.0425%14 Apr →
inferno15–150.0133%12 Apr →
dust211–130.0422%9 Apr →
mirage5–130.0120%9 Apr →
dust213–40.1213%9 Apr →
nuke4–10.1816%8 Apr →
vertigo10–130.1312%8 Apr →
overpass12–120.028%8 Apr →
ancient9–13-0.0224%3 Apr →
dust28–13-0.0214%3 Apr →
nuke2–13-0.0512%3 Apr →
ancient10–130.0519%2 Apr →
inferno13–90.0715%2 Apr →
ancient11–130.0813%2 Apr →
inferno13–110.0515%2 Apr →
inferno7–13-0.0319%29 Mar →
ancient13–20.0932%29 Mar →
overpass5–13-0.0112%29 Mar →
inferno13–10.0517%29 Mar →
inferno13–110.0321%29 Mar →
nuke13–70.0321%25 Mar →
inferno13–70.0815%25 Mar →
inferno13–5-0.0532%25 Mar →
ancient10–130.0317%25 Mar →
inferno7–9-0.0123%25 Mar →
anubis13–8-0.029%23 Mar →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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