Ruud

Ruud — CS2 Stats

DK76561198118710670[U:1:158444942]Steam profile ↗✓ No bans

1,400Tracked matches40%Win rate2020Tracked since
3,614Hours in CS8Hrs last 2 wks
CSDB Rating5.4 DevelopingSupport
FaceitLevel 10 · 2,263 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (39 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,263 → 2,263
+22Tracked matches · now 1,400
0.0ppWin rate · 40.0% → 40.0%

Rating over time

Premier CS Rating: 19,281 +1,282 6 Jan – 7 Feb · 7 days played
17,99919,845peak 19,8456 Jan7 Feb
Faceit ELO: 2,263 +0 31 Aug – 18 Sept · 2 observations
2,2632,263peak 2,26331 Aug18 Sept
19,956Peak Premier in tracked matches
2,263Highest Faceit ELO seen on CSDB
79Days played since 2023-09-20

Faceit ELO

  • At peak — 2,263
  • Next: 2,500 ELO at 2,500 — 237 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-31
  • Level 9 first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 rate53.5%50.9%
Shot accuracy14.0%13.7%
Kill/death ratio1.111.09
Match win rate49.2%48.4%

Share this profile

CSDB.GGRuudFACEITLevel 10 · 2,263 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,263csdb.gg/stats

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Performance scores

Aim68
Positioning59
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY47–53Last 10047%Win rateLWLLWLLWWL

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · −4.8pp headshot accuracy · −51ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 551ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 602ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 27%
  • Avg reaction 628ms

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 (+1.1 against its own average).

Aim6.8
Utility5.9
Positioning5.9
Opening Duels3.7
Clutch3.6

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 89% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 618ms 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

Aim6.8
Positioning5.9
Utility5.9
Mechanics5.7
Opening Duels3.0
Win Impact1.7

Composite 5.4/10 (Developing), 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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time620ms+17ms
first ⅓ avg 603ms → last ⅓ avg 620ms
Headshot accuracy29.9%+2.2%
first ⅓ avg 27.7% → last ⅓ avg 29.9%

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

0.14Best match rating · 13–6 · train, 3 Jan →
73%Best headshot accuracy · 13–10 · ancient, 11 Nov →
406msFastest reaction time · 3–13 · mirage, 9 Mar →
13–2Biggest win · ancient, 25 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–14In matches decided by ≤2 rounds
18Overtime games

Map breakdown

ancientBest map · 71% over 17anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageD268–1831%0.00
ancientS1712–571%0.00
dust2A116–555%0.01
trainC94–544%0.02
vertigoS96–367%0.02
infernoB84–450%-0.01
nukeC73–443%0.00
anubisD61–517%-0.03
overpassC52–340%0.01
cache—21–150%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

114,422Lifetime kills
1.11K/D · Top 50% of Level 10 players
4,706Matches
49.2%Match win rate · Top 50% of Level 10 players
53.5%Headshot % · Top 50% of Level 10 players
14.0%Shot accuracy · Top 50% of Level 10 players
15,122MVPs
2,465Hours (in match)
5,618Bombs planted
1,536Bombs defused

Most-used weapons

AK-4731,896
AWP17,381
Knife3,621
P2502,716
MP91,826
SSG 081,786

Lifetime map wins

9,721inferno
5,993dust2
4,476nuke
4,326vertigo
4,315train
1,130cbble
147office
142lake

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

Faceit stats

Combat

3,157Matches
51%Win rate
1.15Avg K/D
84.8ADR
54%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage21748%1.1717.4
Ancient13751%1.1617.8
Dust211148%1.1618.3
Nuke9154%1.1417.6
Inferno8953%1.1217.5
Anubis8151%1.2219.5
Train5050%1.2318.4
Overpass4370%1.3719.1

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.

28.6%Headshot accuracy
29.5%Accuracy (enemy spotted)
35.2%Spray accuracy
75.7%Counter-strafing
10.0°Preaim
618msReaction time
38.6%T opening success
45.6%CT opening success
0.65Enemies flashed / flash
9.0%Flash assists
6.01HE damage / grenade
14.42Flashes / 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 38.5916% — below the 40% mark we flag

Spend your practice time on Anubis

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–160.0219%11 Sept →
cache13–10-0.0226%3 Sept →
dust29–13-0.0518%3 Sept →
dust214–160.0026%27 Aug →
dust213–70.0526%27 Aug →
inferno3–130.0039%5 Jun →
cache10–13-0.0422%7 May →
ancient13–110.0021%1 May →
ancient13–60.0124%25 Mar →
inferno9–13-0.0924%9 Mar →
overpass4–130.0033%7 Mar →
dust213–40.0835%1 Mar →
mirage7–13-0.0117%14 Feb →
ancient11–130.0231%9 Feb →
anubis10–130.0538%20 Jan →
mirage11–13-0.0236%4 Jan →
nuke7–13-0.0522%27 Dec →
mirage11–130.0223%14 Dec →
overpass13–90.0225%7 Dec →
train5–13-0.0434%7 Dec →
overpass9–130.0128%4 Dec →
mirage13–16-0.0322%2 Dec →
ancient13–80.0019%30 Nov →
ancient13–30.0836%18 Nov →
inferno13–9-0.0224%16 Nov →
nuke12–16-0.0530%13 Nov →
mirage16–130.0138%13 Nov →
ancient13–100.0073%11 Nov →
mirage3–13-0.0422%4 Nov →
nuke13–90.0928%25 Oct →
ancient13–20.0444%25 Oct →
train13–100.0437%17 Oct →
dust214–160.0443%9 Sept →
overpass13–40.0029%27 Aug →
dust213–110.0219%2 Jul →
mirage13–5-0.0221%28 Jun →
mirage13–7-0.0232%27 Jun →
anubis13–100.0020%6 Jun →
train13–50.0729%30 May →
mirage3–13-0.0527%6 May →
ancient13–5-0.0222%4 May →
train17–19-0.0240%4 May →
mirage16–130.0832%22 Apr →
mirage11–130.0123%19 Apr →
dust213–100.0138%18 Apr →
mirage4–13-0.0127%15 Apr →
anubis11–13-0.0418%11 Apr →
train8–130.0231%31 Mar →
nuke17–190.0220%16 Mar →
ancient11–13-0.0116%16 Mar →
train8–130.0539%7 Mar →
dust29–130.0133%26 Feb →
ancient13–6-0.0927%24 Feb →
inferno13–70.0030%24 Feb →
inferno13–30.0415%18 Feb →
nuke13–50.0527%18 Feb →
anubis5–13-0.0829%5 Feb →
inferno2–13-0.0921%29 Jan →
train8–13-0.0819%29 Jan →
inferno13–70.0240%26 Jan →
nuke13–8-0.0233%22 Jan →
dust27–1-0.0833%21 Jan →
dust213–110.0521%18 Jan →
mirage5–13-0.0727%15 Jan →
dust27–13-0.0721%10 Jan →
mirage13–70.0523%8 Jan →
ancient13–9-0.0231%6 Jan →
train13–60.1420%3 Jan →
ancient13–20.0337%31 Dec →
mirage7–130.0431%30 Dec →
mirage16–120.0233%22 Dec →
vertigo14–160.0131%11 Dec →
mirage6–13-0.0116%11 Dec →
train13–10-0.0230%14 Nov →
ancient13–40.0323%24 Oct →
anubis11–13-0.0325%24 Oct →
mirage13–80.1029%23 Sept →
ancient3–13-0.0114%12 Aug →
vertigo13–16-0.0132%9 Mar →
mirage3–13-0.0320%9 Mar →
mirage13–70.0246%9 Mar →
mirage6–130.0432%7 Feb →
overpass4–13-0.0035%7 Feb →
inferno2–130.0225%28 Jan →
mirage8–13-0.0441%27 Jan →
vertigo13–80.0237%27 Jan →
mirage8–13-0.0237%22 Jan →
ancient10–13-0.0333%21 Jan →
vertigo13–100.0517%19 Jan →
vertigo16–14-0.0223%18 Jan →
vertigo13–110.0826%6 Jan →
anubis10–13-0.0826%21 Dec →
vertigo5–13-0.0348%21 Dec →
mirage4–13-0.0122%21 Dec →
mirage11–130.0630%15 Dec →
vertigo19–160.0314%23 Sept →
nuke14–16-0.0219%20 Sept →
ancient16–8-0.0119%20 Sept →
vertigo16–80.0323%20 Sept →
ancient16–190.0219%20 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 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.