BOBER MULDER

BOBER MULDER — CS2 Stats

FI76561198003364055[U:1:43098327]Steam profile ↗✓ No bans

1,675Tracked matches43%Win rate2020Tracked since
1,978Hours in CS
CSDB Rating5.1 DevelopingSupport
Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)
WingmanSilver III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 2026 (18 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: 15,000 -965 16 Aug – 18 Oct · 41 days played
13,75518,049peak 18,04916 Aug18 Oct
18,402Peak Premier in tracked matches
41Days played since 2026-08-16

Premier CS Rating

  • 3,049 below peak (18,049)
  • -170 over 30 days · steady
  • Next: Pink band at 20,000 — 5,000 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches3932+7
Win rate54%38%+16pp
K/D1.090.98+0.11
Headshot %42%43%−2pp

Measured 4 Oct 2026 → 5 Nov 2026; previous 8 Sep 2026 → 4 Oct 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate47.1%44.4%46.9%meets
Shot accuracy13.4%11.9%13.0%above
Kill/death ratio1.221.031.08above
Match win rate43.0%45.2%46.7%3.7% short

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGBOBER MULDERPREMIER15,000 · Purple bandcsdb.gg/stats

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Performance scores

Aim66
Positioning48
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY45–51–4Last 10045%Win rateLLWWLWLWWL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −1.3pp headshot accuracy · −13ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 656ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 643ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 650ms

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 (+1.7 against its own average).

Aim6.6
Utility5.2
Positioning4.8
Opening Duels0.3
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

iM

Plays most like iM 83% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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. 640ms 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

Aim6.6
Positioning4.8
Utility5.2
Mechanics5.8
Opening Duels2.1
Win Impact2.8

Composite 5.1/10 (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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time649ms−23ms
first ⅓ avg 673ms → last ⅓ avg 649ms
Headshot accuracy17.5%−1.7%
first ⅓ avg 19.2% → last ⅓ avg 17.5%

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.

Personal bests

0.14Best match rating · 13–5 · anubis, 10 Oct →
47%Best headshot accuracy · 9–13 · mirage, 3 Oct →
484msFastest reaction time · 13–8 · nuke, 11 Oct →
13–1Biggest win · nuke, 24 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
10–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 80% over 10dust2Weakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
infernoC198–1142%-0.01
nukeS1812–667%-0.01
mirageD155–1033%-0.01
ancientD144–1029%0.00
cacheB136–746%0.00
dust2D112–918%-0.02
anubisS108–280%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

105,398Lifetime kills
1.22K/D · Top 25% of Purple band
4,540Matches
43.0%Match win rate
47.1%Headshot % · Top 50% of Purple band
13.4%Shot accuracy · Top 50% of Purple band
9,198MVPs
1,978Hours (in match)
5,974Bombs planted
993Bombs defused

Most-used weapons

AK-4740,352
AWP7,464
MP92,737
SG 5532,383
AUG2,209

Lifetime map wins

8,333inferno
7,575nuke
4,649dust2
3,138train
1,216vertigo
145lake
115office
81cbble

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

Faceit stats

Combat

41Matches
66%Win rate
1.43Avg K/D
83.5ADR
39%Headshot %

Clutches & streaks

38%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Nuke888%1.5117.3
Inferno757%1.1219.0
Anubis367%0.8213.3
Ancient367%1.9417.7
Cache250%1.3824.5
Dust21100%1.0715.0

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.

17.4%Headshot accuracy
36.7%Accuracy (enemy spotted)
39.1%Spray accuracy
75.9%Counter-strafing
9.8°Preaim
640msReaction time
43.1%T opening success
33.5%CT opening success
0.54Enemies flashed / flash
6.3%Flash assists
9.84HE damage / grenade
7.03Flashes / 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 33.4885% — below the 40% mark we flag

Spend your practice time on Dust 2

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache10–130.0112%18 Oct →
ancient11–13-0.0413%17 Oct →
mirage16–130.0212%16 Oct →
inferno13–10-0.0621%16 Oct →
ancient11–130.0224%16 Oct →
cache13–110.1115%16 Oct →
dust27–13-0.0210%16 Oct →
inferno13–80.0726%15 Oct →
mirage13–80.0018%15 Oct →
anubis11–13-0.0116%15 Oct →
dust212–160.0414%15 Oct →
dust210–13-0.0712%12 Oct →
anubis3–13-0.0410%11 Oct →
nuke13–80.0416%11 Oct →
anubis13–50.1422%10 Oct →
cache13–70.0430%10 Oct →
nuke4–13-0.0416%9 Oct →
mirage13–3-0.0121%9 Oct →
ancient13–50.1121%8 Oct →
inferno13–70.0120%8 Oct →
mirage13–160.0123%8 Oct →
ancient10–130.0613%6 Oct →
anubis13–8-0.0416%5 Oct →
cache10–13-0.0111%4 Oct →
dust27–13-0.078%3 Oct →
mirage9–130.0147%3 Oct →
inferno13–90.0312%2 Oct →
cache10–130.0620%2 Oct →
mirage4–130.038%2 Oct →
mirage2–13-0.0913%2 Oct →
inferno11–13-0.0216%2 Oct →
ancient15–150.0616%1 Oct →
dust27–13-0.0126%1 Oct →
nuke13–110.0021%1 Oct →
nuke8–13-0.0414%29 Sept →
ancient5–13-0.0414%27 Sept →
nuke13–7-0.0814%26 Sept →
cache13–11-0.0425%26 Sept →
inferno5–13-0.0111%26 Sept →
anubis13–9-0.0411%19 Sept →
ancient10–13-0.0022%15 Sept →
ancient9–13-0.0020%14 Sept →
inferno13–40.0715%14 Sept →
nuke13–20.1219%11 Sept →
mirage15–150.0515%10 Sept →
ancient5–13-0.0313%9 Sept →
inferno9–130.0014%9 Sept →
nuke13–3-0.0423%9 Sept →
inferno11–130.0019%8 Sept →
nuke8–13-0.0122%8 Sept →
anubis13–6-0.0421%8 Sept →
ancient13–4-0.068%6 Sept →
nuke9–13-0.0611%6 Sept →
ancient6–130.0127%4 Sept →
mirage1–13-0.0510%4 Sept →
mirage11–13-0.0215%2 Sept →
cache7–13-0.0411%31 Aug →
cache3–13-0.0420%31 Aug →
dust211–13-0.0419%30 Aug →
dust27–13-0.059%30 Aug →
inferno16–140.0316%30 Aug →
mirage8–13-0.097%29 Aug →
nuke13–70.009%29 Aug →
anubis13–100.0317%29 Aug →
inferno16–14-0.027%29 Aug →
cache13–6-0.0414%28 Aug →
inferno8–130.0118%28 Aug →
ancient13–10-0.0211%27 Aug →
cache8–13-0.0026%27 Aug →
inferno5–13-0.0716%27 Aug →
nuke13–11-0.0613%26 Aug →
inferno12–16-0.0417%24 Aug →
ancient13–4-0.0123%24 Aug →
anubis13–70.0529%24 Aug →
inferno13–100.0415%24 Aug →
nuke13–10.0414%24 Aug →
mirage13–110.0113%23 Aug →
nuke13–7-0.0019%23 Aug →
inferno11–13-0.0111%23 Aug →
ancient5–13-0.0114%23 Aug →
mirage15–150.0314%23 Aug →
nuke3–13-0.0835%20 Aug →
inferno4–13-0.0231%20 Aug →
anubis13–70.0915%20 Aug →
inferno5–13-0.0512%20 Aug →
nuke13–40.0728%20 Aug →
mirage8–13-0.0121%20 Aug →
inferno11–13-0.079%19 Aug →
dust29–13-0.0624%19 Aug →
dust213–110.0513%18 Aug →
nuke13–11-0.0023%18 Aug →
cache13–110.0319%18 Aug →
dust213–80.0121%18 Aug →
nuke9–130.0031%17 Aug →
mirage13–8-0.0115%17 Aug →
cache13–10-0.0020%17 Aug →
dust215–15-0.0013%17 Aug →
cache7–13-0.0529%17 Aug →
nuke13–8-0.0225%16 Aug →
anubis13–70.0115%16 Aug →

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 →

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