Duddles

Duddles — CS2 Stats

76561198080689911[U:1:120424183]Steam profile ↗✓ No bans

2,280Tracked matches47%Win rate2021Tracked since
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating12,853Blue band · top ~39.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Sep 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

+154Premier CS Rating · 12,699 → 12,853
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 52 days played since 14 May 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 12,853 -517 14 May17 Sept · 39 days played
11,50613,965peak 13,96514 May17 Sept
13,965Peak Premier in tracked matches
52Days played since 2026-05-14

Premier CS Rating

  • 1,112 below peak (13,965)
  • -426 over 30 days · declining
  • +342 over 90 days
  • Next: Purple band at 15,000 2,147 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-30
  • Light Blue band first seen 2026-08-30

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.

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CSDB.GGDuddlesPREMIER12,853 · Blue bandcsdb.gg/stats

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Performance scores

Aim66
Positioning49
Utility28

0–100 skill scores via Leetify.

Recent form

COLD42562Last 10042%Win rateWLLWLLLLLW

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · −0.5pp headshot accuracy · −45ms 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

  • 23 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 524ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 22%
  • Avg reaction 547ms

Last 20

  • 812 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 22%
  • Avg reaction 570ms

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 PlayerPositioning stands above the rest of this profile (+2.1 against its own average).

Aim6.6
Utility2.8
Positioning4.9
Opening Duels2.2
Clutch1.4

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

NiKo

Plays most like NiKo 87% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

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

Reaction time. 568ms 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
Positioning4.9
Utility2.8
Mechanics7.2
Opening Duels1.5
Win Impact3.9

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time566ms−43ms
first ⅓ avg 608ms → last ⅓ avg 566ms
Headshot accuracy19.8%−0.9%
first ⅓ avg 20.8% → last ⅓ avg 19.8%

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

0.08Best match rating · 13–3 · nuke, 7 Sept
47%Best headshot accuracy · 10–13 · mirage, 1 Aug
430msFastest reaction time · 4–13 · anubis, 12 Sept
13–0Biggest win · mirage, 16 Jul

Across the last 100 tracked matches.

Highlights

4Longest win streak
54In matches decided by ≤2 rounds
6Overtime games

Map breakdown

dust2Best map · 61% over 18ancientWeakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
nukeB21101148%-0.03
mirageC2071335%-0.03
dust2A1811761%-0.02
infernoB157847%-0.04
ancientD101910%-0.04
cacheD93633%-0.03
anubisD62433%-0.05
overpass110100%-0.01

Across the last 100 tracked matches.

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

Faceit stats

Combat

20Matches
35%Win rate
0.65Avg K/D
53.0ADR
42%Headshot %

Clutches & streaks

27%1v1 clutch win
8%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno425%0.6210.5
Mirage40%0.498.8
Nuke3100%0.7811.3
Vertigo333%0.599.7
Dust22100%1.0216.0
Cache10%0.6911.0
Anubis10%0.6111.0
Ancient10%0.569.0

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.

19.4%Headshot accuracy
31.4%Accuracy (enemy spotted)
31.9%Spray accuracy
82.3%Counter-strafing
9.9°Preaim
568msReaction time
31.1%T opening success
40.9%CT opening success
0.52Enemies flashed / flash
12.0%Flash assists
6.68HE damage / grenade
3.16Flashes / 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. Grenades & Utility

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

    Flashes per match 3.1577 — below the 4 mark we flag

    Grenade Lineups
  2. 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 31.0727% — 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.

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

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.0217%17 Sept
anubis4–13-0.0921%12 Sept
dust212–16-0.0418%11 Sept
inferno13–10-0.035%11 Sept
ancient10–13-0.0911%11 Sept
nuke1–13-0.0836%11 Sept
inferno8–13-0.1025%9 Sept
dust211–13-0.0438%9 Sept
nuke3–13-0.0525%9 Sept
mirage13–110.0222%7 Sept
inferno13–7-0.0437%7 Sept
nuke13–30.0813%7 Sept
dust213–5-0.0045%7 Sept
mirage5–13-0.0623%3 Sept
cache9–130.0214%3 Sept
nuke7–13-0.0914%2 Sept
dust213–110.0821%2 Sept
dust213–10-0.0218%2 Sept
mirage13–16-0.0722%2 Sept
dust27–13-0.0616%31 Aug
nuke6–13-0.0810%31 Aug
inferno13–50.0417%27 Aug
nuke13–90.0111%27 Aug
cache10–13-0.0515%26 Aug
mirage13–100.0319%26 Aug
mirage8–13-0.0120%25 Aug
dust213–90.059%25 Aug
nuke13–10-0.0520%25 Aug
inferno13–30.0210%25 Aug
ancient10–13-0.0015%24 Aug
nuke10–13-0.0522%24 Aug
inferno11–13-0.0616%23 Aug
mirage12–16-0.0628%18 Aug
dust213–80.0044%12 Aug
ancient8–13-0.097%12 Aug
dust213–40.0527%12 Aug
nuke13–10-0.0825%11 Aug
mirage9–13-0.0913%11 Aug
anubis8–13-0.0510%8 Aug
cache7–13-0.0220%7 Aug
inferno13–4-0.006%7 Aug
nuke13–7-0.0532%7 Aug
ancient5–130.0111%5 Aug
dust210–13-0.0217%5 Aug
anubis10–13-0.055%4 Aug
nuke13–20.0630%4 Aug
cache3–13-0.0216%4 Aug
nuke13–80.0018%3 Aug
inferno13–10-0.0228%3 Aug
mirage10–13-0.0247%1 Aug
nuke13–8-0.0539%31 Jul
inferno3–13-0.1010%30 Jul
mirage13–11-0.0825%30 Jul
cache13–11-0.0217%30 Jul
inferno2–13-0.0625%30 Jul
ancient10–13-0.0716%21 Jul
cache10–13-0.0918%20 Jul
nuke13–90.0233%20 Jul
anubis13–7-0.0312%19 Jul
nuke0–2-0.030%18 Jul
cache5–1-0.0120%18 Jul
mirage13–00.0440%16 Jul
inferno15–15-0.0219%15 Jul
cache7–13-0.0719%14 Jul
mirage13–20.0125%13 Jul
ancient5–130.0116%13 Jul
ancient10–13-0.0318%13 Jul
nuke0–11-0.030%13 Jul
anubis13–40.0223%10 Jul
inferno13–0-0.020%10 Jul
dust213–6-0.0338%10 Jul
dust211–130.0327%9 Jul
dust213–10-0.0720%7 Jul
mirage6–13-0.0730%6 Jul
nuke7–13-0.0815%3 Jul
inferno2–13-0.1611%3 Jul
mirage6–13-0.0728%2 Jul
dust213–9-0.0524%2 Jul
nuke3–11-0.0716%2 Jul
mirage7–13-0.0935%30 Jun
mirage13–7-0.0615%30 Jun
dust213–8-0.0428%29 Jun
dust26–130.0134%26 Jun
mirage10–13-0.0425%26 Jun
dust213–10-0.0510%19 Jun
mirage10–13-0.0621%19 Jun
nuke12–4-0.0420%19 Jun
inferno7–13-0.0519%15 Jun
nuke6–13-0.0218%15 Jun
dust24–13-0.1114%11 Jun
ancient8–13-0.0815%8 Jun
anubis15–15-0.095%8 Jun
nuke4–13-0.0140%7 Jun
mirage10–13-0.0028%2 Jun
ancient2–13-0.0327%26 May
mirage16–13-0.0315%22 May
cache13–9-0.0224%20 May
mirage7–130.0734%18 May
overpass13–8-0.0117%18 May
inferno2–13-0.066%14 May

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 →