skippydibob

skippydibob — CS2 Stats

76561197989447805[U:1:29182077]Steam profile ↗✓ No bans

1,221Tracked matches33%Win rate2020Tracked since
CSDB Rating4.8 DevelopingSupport
Premier CS Rating19,106Top 50% of 215,386 CSDB-tracked playersPurple band · top ~12.1% of ranked players (population est.)
CSDB Leaderboard#98829 of 261537 tracked
FaceitLevel 6 · 1,851 ELOTop 54.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 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: 19,106 +2,039 14 Apr – 12 Nov · 11 days played
17,06721,513peak 21,51314 Apr12 Nov
21,513Peak Premier in tracked matches
1,851Highest Faceit ELO seen on CSDB
43Days played since 2025-11-03

Faceit ELO

  • At peak — 1,851
  • Next: Level 10 at 2,001 — 150 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-10-04
  • Level 8 first seen 2026-10-04

Premier CS Rating

  • 2,407 below peak (21,513)
  • Next: Pink band at 20,000 — 894 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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.

Share this profile

CSDB.GGskippydibobFACEITLevel 6 · 1,851 ELOSTANDINGTop 54.0% of rankedPREMIER19,106 · Purple bandPEAK ELO1,851csdb.gg/stats

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Performance scores

Aim59
Positioning48
Utility75

0–100 skill scores via Leetify.

Recent form

COLD50–49–1Last 10050%Win rateLLWLWLWLLL

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −1.8pp headshot accuracy · −9ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 524ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 579ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 584ms

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 (+3.4 against its own average).

Aim5.9
Utility7.5
Positioning4.8
Opening Duels1.1
Clutch3.0

Strong CT-side openerEffective flashesHigh utility contribution

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

ropz

Plays most like ropz 65% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: higher utility contribution; 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

Strengths

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 44% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 617ms 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

Aim5.9
Positioning4.8
Utility7.5
Mechanics5.2
Opening Duels1.8
Win Impact0.0

Composite 4.8/10 (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 rating-0.01−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time630ms−13ms
first ⅓ avg 643ms → last ⅓ avg 630ms
Headshot accuracy22.1%+3.2%
first ⅓ avg 18.9% → last ⅓ avg 22.1%

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

0.09Best match rating · 13–9 · nuke, 22 Nov →
50%Best headshot accuracy · 7–3 · inferno, 15 May →
383msFastest reaction time · 13–5 · cache, 20 May →
13–1Biggest win · inferno, 26 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
8–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 67% over 9cacheWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
nukeC259–1636%-0.02
infernoA2214–864%0.01
dust2B136–746%-0.01
cacheD103–730%-0.02
overpassA106–460%-0.01
ancientS96–367%-0.01
mirageD62–433%-0.03
anubis—44–0100%-0.00
train—10–10%-0.04

Across the last 100 tracked matches.

Faceit stats

Combat

953Matches
51%Win rate
0.93Avg K/D
76.4ADR
46%Headshot %

Clutches & streaks

35%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno13657%1.0114.6
Ancient9347%0.9414.7
Nuke8653%0.9414.6
Anubis5648%0.9014.8
Dust25342%0.9013.5
Overpass3361%0.8815.2
Train2365%1.0115.1
Vertigo1443%0.9014.6

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.

20.6%Headshot accuracy
31.4%Accuracy (enemy spotted)
33.0%Spray accuracy
73.6%Counter-strafing
9.5°Preaim
617msReaction time
26.9%T opening success
44.2%CT opening success
0.75Enemies flashed / flash
8.2%Flash assists
10.47HE damage / grenade
19.06Flashes / 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 26.874% — below the 40% mark we flag

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache3–13-0.0919%12 Nov →
nuke10–130.0417%12 Nov →
inferno9–0-0.046%12 Nov →
nuke7–130.0026%12 Nov →
inferno19–170.0117%5 Nov →
mirage7–13-0.0425%2 Nov →
inferno13–70.0528%2 Nov →
mirage11–13-0.0123%2 Nov →
mirage8–13-0.114%2 Nov →
mirage8–13-0.0638%2 Nov →
mirage13–3-0.0225%30 Oct →
inferno13–80.0815%30 Oct →
dust29–130.0223%30 Oct →
nuke13–8-0.0217%30 Oct →
inferno10–130.0425%26 Oct →
inferno13–1-0.0235%26 Oct →
cache9–13-0.0613%26 Oct →
cache14–160.0425%26 Oct →
mirage13–110.0416%20 Oct →
nuke13–9-0.0225%20 Oct →
ancient13–6-0.0229%20 Oct →
ancient2–13-0.0712%17 Oct →
nuke7–13-0.0418%13 Oct →
dust28–130.0118%5 Oct →
nuke6–13-0.0322%25 Sept →
nuke1–13-0.1042%22 Sept →
nuke14–16-0.0523%27 Aug →
ancient24–28-0.0111%22 Aug →
cache9–13-0.0519%13 Aug →
nuke9–13-0.0320%24 Jul →
ancient6–10.0131%24 Jul →
nuke13–40.0635%24 Jul →
cache4–130.0130%24 Jul →
inferno7–13-0.0021%24 Jul →
anubis13–4-0.006%24 Jul →
cache8–11-0.0327%9 Jul →
nuke8–13-0.0729%9 Jul →
cache13–100.0022%9 Jul →
inferno13–10-0.0115%2 Jul →
ancient13–100.0420%2 Jul →
nuke10–13-0.0616%2 Jul →
inferno13–110.0122%28 May →
dust213–10-0.0532%28 May →
cache10–13-0.035%28 May →
dust213–8-0.0027%20 May →
nuke13–6-0.0418%20 May →
inferno12–16-0.0326%20 May →
cache13–5-0.0540%20 May →
dust28–13-0.0230%15 May →
inferno7–3-0.0750%15 May →
nuke13–10-0.0524%15 May →
ancient13–11-0.0120%15 May →
inferno9–130.0135%15 May →
inferno16–130.0641%11 May →
dust210–13-0.0619%11 May →
cache13–110.0726%11 May →
dust213–100.0330%23 Apr →
inferno11–130.0218%23 Apr →
overpass13–100.0616%23 Apr →
nuke13–6-0.0326%23 Apr →
nuke11–130.0034%21 Apr →
overpass13–90.0020%21 Apr →
dust216–120.0524%21 Apr →
inferno13–90.0324%14 Apr →
overpass13–10-0.0119%14 Apr →
dust28–13-0.0520%14 Apr →
nuke4–13-0.0627%14 Apr →
inferno13–30.0629%16 Mar →
dust210–13-0.0133%20 Feb →
nuke10–13-0.0516%20 Feb →
ancient13–10.0913%20 Feb →
anubis13–90.0224%20 Feb →
overpass13–7-0.0317%17 Feb →
overpass13–60.0313%14 Feb →
inferno13–3-0.0317%14 Feb →
inferno8–13-0.0014%14 Feb →
overpass13–16-0.0017%14 Feb →
anubis13–9-0.0128%11 Feb →
dust213–11-0.0621%7 Feb →
anubis13–2-0.0219%7 Feb →
inferno8–130.0118%7 Feb →
nuke16–120.0115%7 Feb →
overpass13–11-0.0420%4 Feb →
dust22–13-0.029%31 Jan →
nuke10–13-0.0715%27 Jan →
nuke12–12-0.0419%21 Jan →
train5–13-0.0438%15 Jan →
overpass10–13-0.037%12 Jan →
overpass10–13-0.0431%12 Dec →
nuke8–13-0.0017%3 Dec →
ancient7–13-0.0618%3 Dec →
overpass11–13-0.0013%22 Nov →
nuke13–90.0920%22 Nov →
nuke11–13-0.0319%20 Nov →
inferno9–13-0.0115%20 Nov →
inferno13–9-0.0416%12 Nov →
nuke13–11-0.0025%12 Nov →
dust213–20.0215%7 Nov →
inferno16–120.0320%7 Nov →
ancient13–5-0.018%3 Nov →

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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