Skiddio

Skiddio — CS2 Stats

GB76561198032346339[U:1:72080611]Steam profile ↗✓ No bans

375Tracked matches38%Win rate2020Tracked since
CSDB Rating5.3 DevelopingAll-Rounder
Premier CS Rating12,563Blue band · top ~41.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Aug 2026 (58 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: 12,563 -99 19 Jun – 17 Aug · 12 days played
12,25013,334peak 13,33419 Jun17 Aug
13,376Peak Premier in tracked matches
26Days played since 2026-06-19

Premier CS Rating

  • 771 below peak (13,334)
  • Next: Purple band at 15,000 — 2,437 to go
  • Reached: Blue band · 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.GGSkiddioPREMIER12,563 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim80
Positioning46
Utility36

0–100 skill scores via Leetify.

Recent form

COLD40–54–6Last 10040%Win rateLWLLWLLLWL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +2.5pp headshot accuracy · −38ms 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 23%
  • Avg reaction 622ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 591ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 609ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.0
Utility3.6
Positioning4.6
Opening Duels3.7

Excellent counter-strafingLimited 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 89% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution; 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

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.3° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 34 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.

Reaction time. 607ms 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

Aim8.0
Positioning4.6
Utility3.6
Mechanics8.8
Opening Duels2.9
Win Impact1.0

Composite 5.3/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time609ms−61ms
first ⅓ avg 670ms → last ⅓ avg 609ms
Headshot accuracy17.9%−0.1%
first ⅓ avg 18.0% → last ⅓ avg 17.9%

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

0.16Best match rating · 13–6 · anubis, 19 Jun →
44%Best headshot accuracy · 13–2 · inferno, 18 Aug →
414msFastest reaction time · 10–13 · office, 16 Jul →
13–2Biggest win · inferno, 18 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
2–7In matches decided by ≤2 rounds
2Overtime games

Map breakdown

nukeBest map · 63% over 8cacheWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
officeC198–1142%-0.00
infernoB137–654%0.01
ancientD124–833%0.00
mirageC114–736%0.02
overpassD103–730%-0.01
cacheD82–625%0.01
nukeA85–363%-0.01
anubisA74–357%0.03
dust2D62–433%-0.00
train—30–30%-0.04
boulder—11–0100%0.08
shelter—10–10%0.00
vertigo—10–10%-0.03

Across the last 100 tracked matches.

Skill profile

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

17.0%Headshot accuracy
38.5%Accuracy (enemy spotted)
42.1%Spray accuracy
89.6%Counter-strafing
10.3°Preaim
607msReaction time
40.5%T opening success
42.6%CT opening success
0.44Enemies flashed / flash
8.8%Flash assists
9.67HE damage / grenade
3.99Flashes / 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 0.4443 — below the 0.5 mark we flag

    Grenade Lineups →
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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache4–13-0.0318%18 Aug →
inferno13–20.0144%18 Aug →
inferno11–130.077%17 Aug →
dust28–13-0.0522%17 Aug →
ancient13–60.1024%17 Aug →
ancient5–130.0213%30 Jul →
ancient9–13-0.0315%30 Jul →
office10–130.0414%29 Jul →
overpass13–30.0919%29 Jul →
overpass8–13-0.0316%28 Jul →
nuke13–70.0026%28 Jul →
anubis13–80.109%28 Jul →
cache11–130.0413%28 Jul →
ancient7–13-0.0216%28 Jul →
overpass13–60.0814%27 Jul →
inferno4–130.0025%27 Jul →
inferno13–30.0922%27 Jul →
anubis13–60.026%27 Jul →
inferno5–13-0.0314%27 Jul →
anubis13–60.1221%27 Jul →
inferno13–5-0.0013%22 Jul →
ancient13–70.1018%22 Jul →
cache15–150.0014%22 Jul →
inferno6–13-0.039%22 Jul →
cache2–130.0333%20 Jul →
office7–13-0.0319%20 Jul →
office7–130.0013%20 Jul →
ancient5–13-0.0720%20 Jul →
office10–13-0.049%16 Jul →
ancient11–130.0124%16 Jul →
nuke10–13-0.0421%16 Jul →
mirage8–130.0115%16 Jul →
inferno13–40.0524%16 Jul →
cache12–12-0.0413%15 Jul →
boulder13–90.0825%13 Jul →
shelter4–130.0017%12 Jul →
office12–120.059%12 Jul →
ancient13–5-0.0429%12 Jul →
mirage5–13-0.0126%12 Jul →
dust29–13-0.0821%10 Jul →
ancient10–13-0.0420%9 Jul →
cache13–50.1021%9 Jul →
office13–6-0.0027%9 Jul →
office13–80.0319%9 Jul →
office13–60.0119%9 Jul →
overpass13–4-0.046%5 Jul →
office13–70.1021%5 Jul →
ancient13–80.0223%5 Jul →
anubis8–13-0.0516%5 Jul →
mirage11–130.0226%4 Jul →
office13–8-0.0140%4 Jul →
inferno16–14-0.0318%4 Jul →
mirage13–30.0221%4 Jul →
overpass4–13-0.1132%4 Jul →
office12–12-0.075%4 Jul →
dust211–13-0.0015%4 Jul →
inferno3–8-0.0317%3 Jul →
vertigo8–13-0.0312%3 Jul →
nuke8–13-0.058%3 Jul →
cache13–70.0525%3 Jul →
dust213–9-0.0317%2 Jul →
nuke13–10-0.0111%28 Jun →
office6–13-0.0819%28 Jun →
overpass3–130.0118%28 Jun →
anubis2–13-0.1020%28 Jun →
overpass1–13-0.0913%28 Jun →
office12–12-0.0321%28 Jun →
office7–13-0.0424%28 Jun →
anubis9–13-0.0515%27 Jun →
overpass11–130.0113%26 Jun →
office6–130.0518%26 Jun →
mirage10–130.0524%26 Jun →
nuke7–30.019%26 Jun →
mirage13–100.0713%26 Jun →
inferno13–100.0312%26 Jun →
office9–4-0.1133%26 Jun →
office7–13-0.0122%25 Jun →
ancient9–13-0.0119%25 Jun →
mirage13–11-0.0016%25 Jun →
inferno10–130.0224%25 Jun →
office11–00.0712%25 Jun →
dust28–130.0529%24 Jun →
ancient6–13-0.027%21 Jun →
overpass7–130.0113%21 Jun →
train9–13-0.0419%21 Jun →
train4–13-0.048%21 Jun →
office13–50.0320%21 Jun →
overpass5–130.0118%20 Jun →
mirage10–13-0.0117%20 Jun →
inferno13–9-0.0323%20 Jun →
nuke13–8-0.0415%20 Jun →
nuke13–60.0719%20 Jun →
mirage13–80.0623%20 Jun →
cache7–13-0.0912%20 Jun →
dust213–60.0914%20 Jun →
train12–12-0.0212%20 Jun →
mirage8–13-0.0017%20 Jun →
mirage11–13-0.0225%20 Jun →
nuke9–130.0025%19 Jun →
anubis13–60.1626%19 Jun →

Match data via Leetify.

Recent teammates

Milestones

100 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.