Dildo Shwaggins

Dildo Shwaggins — CS2 Stats

DK76561198807307196[U:1:847041468]Steam profile ↗✓ No bans

1,993Tracked matches60%Win rate2020Tracked since
CSDB Rating5.2 DevelopingOpening Duellist
Premier CS Rating7,492Light Blue band · top ~66.9% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (44 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: 7,492 -566 22 Jul – 22 Sept · 23 days played
5,1158,471peak 8,47122 Jul22 Sept
8,471Peak Premier in tracked matches
31Days played since 2026-07-22

Premier CS Rating

  • 979 below peak (8,471)
  • +1,349 over 30 days · improving
  • Next: Blue band at 10,000 — 2,508 to go
  • Reached: Light Blue band

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

Share this profile

CSDB.GGDildo ShwagginsPREMIER7,492 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim67
Positioning60
Utility14

0–100 skill scores via Leetify.

Recent form

HOT50–46–4Last 10050%Win rateWLWLWWLWWW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +2.9pp headshot accuracy · −19ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 27%
  • Avg reaction 581ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 655ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 665ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+1.6 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim6.7
Utility1.4
Positioning6.0
Opening Duels6.1

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

s1mple

Plays most like s1mple 76% 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.

T-side openings. Opening success drops from 60% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 660ms 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

Aim6.7
Positioning6.0
Utility1.4
Mechanics6.5
Opening Duels5.1
Win Impact8.3

Composite 5.2/10 (Developing), 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 rating0.00−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time662ms−32ms
first ⅓ avg 694ms → last ⅓ avg 662ms
Headshot accuracy22.0%−1.0%
first ⅓ avg 23.0% → last ⅓ avg 22.0%

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

0.21Best match rating · 13–3 · dust2, 22 Jul →
50%Best headshot accuracy · 2–13 · office, 28 Jul →
391msFastest reaction time · 5–13 · office, 2 Aug →
13–3Biggest win · office, 9 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–6In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 78% over 9ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
officeB3820–1853%-0.01
mirageD155–1033%0.02
ancientD103–730%0.01
anubisS97–278%0.05
cacheC73–443%0.05
nukeB63–350%-0.02
dust2S64–267%0.05
infernoA53–260%0.00
overpass—21–150%0.00
italy—10–10%-0.01
train—11–0100%-0.03

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.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

21.9%Headshot accuracy
35.7%Accuracy (enemy spotted)
34.0%Spray accuracy
79.1%Counter-strafing
9.9°Preaim
660msReaction time
41.3%T opening success
59.5%CT opening success
0.30Enemies flashed / flash
0.0%Flash assists
7.50HE damage / grenade
0.69Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3031 — below the 0.5 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.

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
inferno9–70.0028%22 Sept →
anubis8–130.1130%22 Sept →
anubis13–9-0.0025%22 Sept →
ancient6–13-0.0226%22 Sept →
cache13–40.0628%13 Sept →
nuke13–10-0.0319%13 Sept →
dust28–13-0.0229%13 Sept →
office13–7-0.0721%7 Sept →
mirage13–50.0731%7 Sept →
anubis13–9-0.0214%2 Sept →
inferno3–9-0.1317%28 Aug →
office13–90.0535%28 Aug →
dust213–8-0.0022%28 Aug →
mirage13–110.1016%27 Aug →
nuke6–13-0.0818%24 Aug →
nuke13–80.0730%24 Aug →
office13–8-0.0835%22 Aug →
mirage16–140.0116%22 Aug →
dust213–80.0621%22 Aug →
cache7–13-0.0813%16 Aug →
italy9–13-0.0118%15 Aug →
office5–130.0613%15 Aug →
cache2–130.0118%15 Aug →
ancient5–13-0.0416%15 Aug →
nuke10–13-0.0516%15 Aug →
mirage9–13-0.0814%15 Aug →
train13–8-0.0314%15 Aug →
nuke13–80.0621%15 Aug →
anubis13–7-0.0124%14 Aug →
dust213–7-0.0033%13 Aug →
mirage13–40.1417%12 Aug →
cache10–130.0725%11 Aug →
ancient8–20.0324%11 Aug →
ancient9–130.009%9 Aug →
anubis16–140.0323%9 Aug →
mirage9–13-0.0611%9 Aug →
cache13–70.1123%9 Aug →
overpass13–90.029%9 Aug →
office3–13-0.125%9 Aug →
inferno9–3-0.0726%9 Aug →
office13–3-0.115%9 Aug →
ancient5–13-0.0317%9 Aug →
ancient11–130.0317%9 Aug →
anubis13–60.1018%7 Aug →
mirage15–150.069%6 Aug →
mirage7–130.0132%6 Aug →
office13–8-0.0425%5 Aug →
mirage13–40.0223%5 Aug →
office10–13-0.0120%4 Aug →
office13–90.0535%3 Aug →
office13–50.0714%3 Aug →
office13–60.0123%3 Aug →
office5–13-0.0614%2 Aug →
office12–12-0.0239%31 Jul →
office13–3-0.0315%31 Jul →
ancient11–130.0720%30 Jul →
mirage1–13-0.0128%30 Jul →
mirage11–13-0.0524%30 Jul →
office4–13-0.0224%30 Jul →
office3–13-0.033%30 Jul →
mirage10–130.0226%29 Jul →
ancient13–40.0035%29 Jul →
inferno13–80.1319%29 Jul →
office13–8-0.0724%29 Jul →
office13–9-0.0219%29 Jul →
office1–13-0.1229%28 Jul →
office2–13-0.0750%28 Jul →
office5–13-0.1015%28 Jul →
cache9–130.0619%28 Jul →
mirage8–130.0118%27 Jul →
inferno7–130.0717%27 Jul →
nuke6–13-0.068%27 Jul →
office5–13-0.0223%27 Jul →
mirage8–13-0.0212%26 Jul →
mirage5–130.0430%26 Jul →
dust211–130.0518%26 Jul →
office11–13-0.0218%26 Jul →
office8–13-0.0134%26 Jul →
office13–100.0341%26 Jul →
office8–130.0036%26 Jul →
office9–13-0.0221%26 Jul →
office13–8-0.026%26 Jul →
office13–10-0.0329%26 Jul →
office13–50.0840%26 Jul →
ancient7–13-0.0212%26 Jul →
overpass8–13-0.0234%26 Jul →
office3–13-0.0919%25 Jul →
office6–10.0028%25 Jul →
office12–120.0234%24 Jul →
office13–40.1425%24 Jul →
office13–110.0531%24 Jul →
anubis16–130.1114%23 Jul →
office12–120.0431%23 Jul →
office13–40.0616%23 Jul →
anubis11–130.0721%23 Jul →
dust213–30.2129%22 Jul →
ancient13–100.029%22 Jul →
cache13–40.1019%22 Jul →
anubis13–70.1128%22 Jul →
office13–100.0425%22 Jul →

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 →

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