Marc Rutzou

Marc Rutzou — CS2 Stats

76561198448788963[U:1:488523235]Steam profile ↗✓ No bans

765Tracked matches54%Win rate2020Tracked since
CSDB Rating5.5 SolidPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 13,165 -2,384 28 Feb – 20 Jun · 27 days played
12,51916,896peak 16,89628 Feb20 Jun
16,896Peak Premier in tracked matches
59Days played since 2025-09-03

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

Performance scores

Aim52
Positioning62
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateLLWLLWWWWL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +2.3pp headshot accuracy · −95ms 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 -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 550ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 574ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 621ms

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: Positional Player — Positioning stands above the rest of this profile (+2.4 against its own average).

Aim5.2
Utility4.0
Positioning6.2
Opening Duels4.9
Clutch0.0

Limited utility dependence

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

device

Plays most like device 78% playstyle similarity

Most alike: positioning profile, opening-duel success.

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. 631ms 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

Aim5.2
Positioning6.2
Utility4.0
Mechanics7.1
Opening Duels4.5
Win Impact6.2

Composite 5.5/10 (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 rating-0.02+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time636ms−40ms
first ⅓ avg 675ms → last ⅓ avg 636ms
Headshot accuracy11.8%−4.4%
first ⅓ avg 16.2% → last ⅓ avg 11.8%

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

0.10Best match rating · 13–10 · inferno, 20 Jun →
37%Best headshot accuracy · 13–10 · inferno, 20 Jun →
406msFastest reaction time · 3–13 · inferno, 19 Oct →
13–0Biggest win · inferno, 14 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
3–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 65% over 26ancientWeakest map · 7% over 14
MapGradePlayedRecordWin rateAvg rating
infernoS2617–965%-0.02
nukeA2011–955%-0.01
anubisD195–1426%-0.04
ancientD141–137%-0.05
mirageC52–340%-0.01
cacheC52–340%0.00
dust2—42–250%-0.03
overpass—42–250%-0.04
boulder—21–150%0.02
fachwerk—11–0100%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (7% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

7Matches
29%Win rate
0.93Avg K/D
73.4ADR
36%Headshot %

Clutches & streaks

20%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient20%1.0621.5
Inferno250%0.8612.5
Dust210%0.406.0

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.

12.2%Headshot accuracy
32.4%Accuracy (enemy spotted)
32.6%Spray accuracy
81.9%Counter-strafing
9.9°Preaim
631msReaction time
48.9%T opening success
47.3%CT opening success
0.51Enemies flashed / flash
1.2%Flash assists
9.11HE damage / grenade
3.05Flashes / 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 12.1878% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.0511 — below the 4 mark we flag

    Grenade Lineups →
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.

7% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno3–13-0.0811%19 Oct →
mirage9–13-0.0618%19 Oct →
inferno13–10-0.0610%22 Sept →
anubis6–13-0.0123%21 Sept →
boulder2–13-0.0422%20 Sept →
inferno13–10-0.0316%20 Sept →
anubis13–100.0015%14 Sept →
cache13–90.0110%14 Sept →
inferno13–9-0.049%25 Aug →
inferno6–13-0.057%25 Aug →
dust216–13-0.0615%18 Aug →
inferno13–50.0215%11 Aug →
boulder13–90.087%11 Aug →
nuke13–8-0.027%10 Aug →
fachwerk13–8-0.058%10 Aug →
cache13–7-0.065%8 Aug →
nuke6–130.0110%12 Jul →
inferno13–100.1037%20 Jun →
inferno13–9-0.0714%18 Jun →
anubis6–13-0.100%18 Jun →
anubis8–13-0.0219%13 Jun →
dust212–120.0111%10 Jun →
ancient9–13-0.0210%10 Jun →
inferno16–130.0111%7 Jun →
anubis7–13-0.030%7 Jun →
cache10–130.037%9 May →
cache12–120.0211%5 May →
cache10–130.0216%5 May →
nuke6–13-0.0613%23 Apr →
inferno13–10-0.047%23 Apr →
inferno2–13-0.017%20 Apr →
nuke13–20.0810%20 Apr →
ancient11–13-0.029%18 Apr →
nuke13–8-0.0131%17 Apr →
ancient15–15-0.0211%17 Apr →
inferno13–11-0.0211%15 Apr →
anubis13–90.004%14 Apr →
mirage13–6-0.023%14 Apr →
inferno13–8-0.076%14 Apr →
anubis3–13-0.0914%13 Apr →
nuke13–11-0.0617%12 Apr →
ancient5–13-0.0530%11 Apr →
mirage13–20.0913%11 Apr →
ancient5–13-0.0913%11 Apr →
nuke13–70.0416%11 Apr →
mirage9–13-0.0214%11 Apr →
nuke6–13-0.036%10 Apr →
anubis10–13-0.0611%10 Apr →
anubis11–13-0.0810%29 Mar →
inferno8–1-0.060%29 Mar →
nuke7–13-0.078%29 Mar →
ancient11–13-0.0614%28 Mar →
ancient4–13-0.0214%24 Mar →
nuke8–13-0.0311%24 Mar →
dust211–13-0.0015%23 Mar →
anubis2–13-0.0421%17 Mar →
anubis7–130.0018%17 Mar →
anubis11–13-0.0322%16 Mar →
mirage10–13-0.0515%16 Mar →
anubis2–13-0.1525%15 Mar →
ancient14–16-0.079%15 Mar →
inferno13–16-0.0019%14 Mar →
anubis15–15-0.065%14 Mar →
anubis8–13-0.1017%13 Mar →
inferno4–13-0.0617%13 Mar →
nuke13–100.0115%9 Mar →
ancient8–13-0.0910%8 Mar →
inferno13–80.0112%2 Mar →
nuke13–60.0424%1 Mar →
nuke13–90.0421%28 Feb →
nuke4–13-0.0724%28 Feb →
anubis13–80.0527%28 Feb →
dust216–13-0.0734%23 Feb →
nuke6–13-0.0819%23 Feb →
overpass4–13-0.0311%17 Feb →
nuke13–5-0.0111%17 Feb →
overpass5–13-0.126%2 Feb →
inferno13–2-0.0423%2 Feb →
inferno16–12-0.0311%1 Feb →
ancient13–8-0.0014%30 Jan →
anubis13–60.022%30 Jan →
anubis2–13-0.094%25 Jan →
ancient7–13-0.0424%25 Jan →
inferno7–13-0.0210%24 Jan →
anubis13–10-0.0511%24 Jan →
overpass13–110.0121%23 Jan →
inferno13–10-0.0229%15 Dec →
nuke14–16-0.0231%27 Oct →
inferno4–13-0.0413%24 Oct →
ancient3–13-0.1110%24 Oct →
nuke13–80.0115%14 Oct →
overpass13–4-0.0113%14 Oct →
inferno13–00.0521%14 Oct →
ancient11–13-0.0123%10 Oct →
ancient6–13-0.0413%8 Oct →
inferno11–130.037%8 Oct →
inferno13–5-0.0216%5 Oct →
nuke8–13-0.088%5 Oct →
inferno3–13-0.0711%3 Oct →
nuke13–30.0417%3 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.