RubaDuck™

RubaDuck™ — CS2 Stats

76561198023945969[U:1:63680241]Steam profile ↗✓ No bans

1,636Tracked matches52%Win rate2020Tracked since
3,132Hours in CS1Hrs last 2 wks
CSDB Rating6.0 SolidSupport
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (35 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 866 → 866
+1Tracked matches · now 1,636
−3.7ppWin rate · 55.6% → 51.8%

Rating over time

Premier CS Rating: 18,522 +2,572 23 Feb – 10 May · 16 days played
15,52118,643peak 18,64323 Feb10 May
Faceit ELO: 866 +0 1 Sept – 22 Sept · 3 observations
866866peak 8661 Sept22 Sept
18,643Peak Premier in tracked matches
866Highest Faceit ELO seen on CSDB
47Days played since 2026-02-23

Faceit ELO

  • At peak — 866
  • Next: Level 4 at 901 — 35 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-09-01
  • Level 2 first seen 2026-09-01

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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches330—
Win rate70%——
K/D1.491.29—
Headshot %58%82%—

Measured 22 Sep 2026 → 27 Oct 2026; previous 1 Sep 2026 → 22 Sep 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.

Share this profile

CSDB.GGRubaDuck™PEAK ELO866csdb.gg/stats

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Performance scores

Aim88
Positioning52
Utility54

0–100 skill scores via Leetify.

Recent form

COLD51–41–8Last 10051%Win rateLLLLLLLTWW

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · +1.8pp headshot accuracy · −7ms 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

  • 0–5 · 0% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 563ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 510ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 513ms

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 (+1.3 against its own average).

Aim8.8
Utility5.4
Positioning5.2
Opening Duels5.0
Clutch1.0

Sharp aimerExcellent counter-strafing

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 92% playstyle similarity

Most alike: aim profile, utility contribution.

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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 54% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.8
Positioning5.2
Utility5.4
Mechanics8.5
Opening Duels3.8
Win Impact5.6

Composite 6.0/10 (Solid), 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 rating0.02+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time515ms−53ms
first ⅓ avg 568ms → last ⅓ avg 515ms
Headshot accuracy24.7%−0.6%
first ⅓ avg 25.3% → last ⅓ avg 24.7%

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

0.46Best match rating · 9–2 · inferno, 15 Apr →
46%Best headshot accuracy · 4–13 · mirage, 22 Aug →
313msFastest reaction time · 0–13 · dust2, 10 Aug →
13–1Biggest win · mirage, 6 Apr →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L7Current streak
10–2In matches decided by ≤2 rounds
5Overtime games

Map breakdown

overpassBest map · 64% over 11ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
infernoA1911–858%0.05
dust2B189–950%0.01
mirageA116–555%0.02
nukeB115–645%0.02
overpassA117–464%0.05
ancientD103–730%0.01
anubisA74–357%-0.00
cacheB63–350%-0.00
vertigo—42–250%0.01
sanctum—10–10%0.10
poseidon—11–0100%0.15
cache_b—10–10%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

193,149Lifetime kills
1.96K/D · Top 5% of tracked players
4,902Matches
41.8%Match win rate
65.4%Headshot % · Top 5% of tracked players
13.2%Shot accuracy · Top 50% of tracked players
9,697MVPs
1,971Hours (in match)
2,192Bombs planted
1,018Bombs defused

Most-used weapons

AK-4754,749
MP917,116
SSG 0813,008
Negev11,082
AWP9,033
SCAR-203,547

Lifetime map wins

14,085dust2
7,136inferno
2,696nuke
2,120vertigo
756train
132office
121cbble
64italy

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

Faceit stats

Combat

9Matches
56%Win rate
1.64Avg K/D
90.6ADR
57%Headshot %

Clutches & streaks

25%1v1 clutch win
33%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke450%2.0715.3
Overpass250%1.6215.5
Inferno1100%1.0020.0
Train1100%1.6234.0

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.

23.2%Headshot accuracy
35.4%Accuracy (enemy spotted)
35.2%Spray accuracy
88.3%Counter-strafing
8.0°Preaim
518msReaction time
36.3%T opening success
53.9%CT opening success
0.68Enemies flashed / flash
6.3%Flash assists
9.02HE damage / grenade
8.01Flashes / 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 36.2922% — below the 40% mark we flag

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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient10–130.0117%26 Sept →
ancient9–130.0531%13 Sept →
dust28–13-0.0219%1 Sept →
mirage4–130.0718%31 Aug →
dust23–13-0.0726%31 Aug →
ancient5–13-0.089%22 Aug →
mirage4–13-0.0446%22 Aug →
ancient12–120.0620%22 Aug →
mirage4–1-0.0233%22 Aug →
inferno13–110.0726%21 Aug →
nuke13–110.0825%14 Aug →
inferno13–100.0215%14 Aug →
nuke13–40.0835%14 Aug →
inferno13–6-0.0413%14 Aug →
anubis11–13-0.0613%14 Aug →
inferno10–130.0434%13 Aug →
dust213–100.0920%13 Aug →
anubis9–13-0.0324%13 Aug →
inferno3–130.0217%13 Aug →
cache5–130.0832%11 Aug →
nuke12–120.0614%11 Aug →
inferno13–60.0529%11 Aug →
nuke13–70.0224%11 Aug →
ancient13–20.0525%11 Aug →
dust20–13-0.0818%10 Aug →
anubis13–100.0225%5 Aug →
cache13–20.0524%5 Aug →
mirage12–120.0019%5 Aug →
overpass13–30.1033%5 Aug →
dust213–40.1129%5 Aug →
dust213–60.0533%5 Aug →
dust213–30.0633%2 Aug →
mirage13–30.0038%2 Aug →
inferno8–80.0222%2 Aug →
overpass10–13-0.0626%29 Jul →
nuke6–13-0.0414%4 Jul →
cache13–30.0126%2 Jul →
nuke6–13-0.0321%5 Jun →
inferno2–130.0225%5 Jun →
vertigo8–80.1032%16 May →
overpass9–20.3120%16 May →
sanctum8–80.1020%16 May →
inferno9–70.1115%16 May →
poseidon9–30.1531%16 May →
nuke9–50.1920%16 May →
overpass11–130.0029%13 May →
dust213–80.0730%10 May →
cache8–13-0.0222%2 May →
overpass15–150.0522%2 May →
dust213–11-0.0029%1 May →
cache5–13-0.1016%1 May →
cache13–5-0.0422%1 May →
dust28–13-0.0418%26 Apr →
dust29–130.0419%26 Apr →
ancient4–13-0.0316%20 Apr →
mirage10–13-0.0324%20 Apr →
dust26–130.0122%19 Apr →
ancient13–110.0527%18 Apr →
dust210–13-0.0224%17 Apr →
overpass9–40.2221%15 Apr →
inferno9–20.4627%15 Apr →
nuke9–50.0722%15 Apr →
vertigo9–60.0115%15 Apr →
overpass13–10-0.0722%11 Apr →
anubis13–110.0127%8 Apr →
overpass13–3-0.0438%8 Apr →
overpass16–130.0414%6 Apr →
mirage13–10.0319%6 Apr →
overpass9–13-0.0530%5 Apr →
anubis12–12-0.0132%5 Apr →
nuke0–8-0.0920%5 Apr →
ancient6–13-0.0328%3 Apr →
vertigo9–13-0.0632%2 Apr →
inferno13–90.0321%1 Apr →
vertigo13–10-0.0016%1 Apr →
anubis13–100.0136%1 Apr →
inferno13–110.0927%1 Apr →
dust216–120.0024%31 Mar →
dust24–13-0.0524%23 Mar →
inferno8–13-0.0220%23 Mar →
cache_b4–130.0118%19 Mar →
inferno8–130.0135%18 Mar →
mirage13–110.0830%18 Mar →
inferno13–80.1124%18 Mar →
anubis13–60.0520%18 Mar →
nuke8–13-0.0333%14 Mar →
mirage16–140.0227%11 Mar →
inferno10–13-0.086%8 Mar →
nuke2–11-0.0729%8 Mar →
ancient10–130.0328%3 Mar →
inferno13–80.0228%28 Feb →
dust213–10.0632%28 Feb →
inferno4–130.0723%27 Feb →
ancient13–60.0126%27 Feb →
dust213–100.0424%27 Feb →
inferno15–15-0.0037%26 Feb →
mirage13–100.1119%26 Feb →
dust29–130.0126%25 Feb →
mirage5–13-0.0421%23 Feb →
overpass13–10-0.0222%23 Feb →

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.