skibidi sigma

skibidi sigma — CS2 Stats

RO76561198355417124[U:1:395151396]Steam profile ↗✓ No bans

421Tracked matches72%Win rate2020Tracked since
1,638Hours in CS
CSDB Rating7.8 StrongPositional Player
Premier CS Rating25,368Top 10% of 212,133 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)
CSDB Leaderboard#18514 of 259121 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Aug 2026 (75 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: 25,368 +2,303 6 Jul – 18 Aug · 10 days played
23,06525,597peak 25,5976 Jul18 Aug
25,597Peak Premier in tracked matches
24Days played since 2026-07-06

Premier CS Rating

  • 229 below peak (25,597)
  • +905 over 30 days · improving
  • Next: Gold band at 30,000 — 4,632 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate46.2%42.7%43.8%above
Shot accuracy18.6%11.2%12.0%above
Kill/death ratio1.190.991.02above
Match win rate47.5%43.9%44.7%above

Across every metric we can compare, this profile already matches the typical Level 5 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGskibidi sigmaFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER25,368 · Red 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

Aim91
Positioning76
Utility17

0–100 skill scores via Leetify.

Recent form

HOT69–27–4Last 10069%Win rateWWWWWWLWLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −13.5pp headshot accuracy · −156ms reaction

Win rate up 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

  • 5–0 · 100% win rate
  • Avg rating 0.10
  • Avg headshot accuracy 23%
  • Avg reaction 473ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.09
  • Avg headshot accuracy 22%
  • Avg reaction 507ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 28%
  • Avg reaction 585ms

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 Player — Positioning stands above the rest of this profile (+2.2 against its own average).

Aim9.1
Utility1.7
Positioning7.6
Opening Duels6.9

Sharp aimerLimited 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

donk

Plays most like donk 70% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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

Strengths

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

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. 582ms 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

Aim9.1
Positioning7.6
Utility1.7
Mechanics8.0
Opening Duels6.9
Win Impact10.0

Composite 7.8/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.09+0.05
first ⅓ avg 0.04 → last ⅓ avg 0.09
Reaction time587ms+77ms
first ⅓ avg 510ms → last ⅓ avg 587ms
Headshot accuracy30.4%+0.0%
first ⅓ avg 30.4% → last ⅓ avg 30.4%

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

0.27Best match rating · 13–2 · mirage, 22 Jul →
100%Best headshot accuracy · 13–2 · inferno, 25 Jul →
359msFastest reaction time · 11–13 · nuke, 30 Jul →
13–0Biggest win · dust2, 10 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W6Current streak
2–4In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 100% over 5ancientWeakest map · 58% over 12
MapGradePlayedRecordWin rateAvg rating
mirageS5337–1670%0.08
dust2A138–562%0.08
ancientA127–558%0.06
nukeA85–363%0.03
vertigoS54–180%0.06
anubisS55–0100%0.12
inferno—33–0100%0.08
cache—10–10%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (58% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

94,336Lifetime kills
1.19K/D · Top 25% of Level 4 players
4,203Matches
47.5%Match win rate · Top 25% of Level 4 players
46.2%Headshot % · Top 50% of Level 4 players
18.6%Shot accuracy · Top 10% of Level 4 players
14,674MVPs
1,638Hours (in match)
5,685Bombs planted
921Bombs defused

Most-used weapons

AK-4729,901
AWP16,036
P903,024
SG 5531,783
FAMAS1,759
P2501,529

Lifetime map wins

12,811dust2
4,228inferno
1,472train
828vertigo
819nuke
696cbble
119lake
96dust

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

Skill profile

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

30.5%Headshot accuracy
36.8%Accuracy (enemy spotted)
36.6%Spray accuracy
86.1%Counter-strafing
7.8°Preaim
582msReaction time
57.6%T opening success
58.0%CT opening success
0.12Enemies flashed / flash
1.8%Flash assists
12.46HE damage / grenade
0.21Flashes / 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 0.1191 — below the 0.5 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
vertigo13–100.1120%28 Sept →
ancient13–50.0821%28 Sept →
ancient13–100.1527%28 Sept →
dust213–70.1526%27 Sept →
ancient13–110.0420%26 Sept →
vertigo13–60.0119%26 Sept →
ancient8–130.0417%18 Sept →
anubis13–60.1412%18 Sept →
ancient11–130.1426%24 Aug →
anubis13–40.0327%24 Aug →
mirage10–130.0752%18 Aug →
mirage7–13-0.0340%18 Aug →
mirage13–20.1145%10 Aug →
mirage13–110.1326%10 Aug →
mirage13–2-0.0045%10 Aug →
mirage10–130.0629%10 Aug →
mirage13–80.0724%10 Aug →
dust23–130.1327%10 Aug →
dust213–00.0723%10 Aug →
dust213–50.0939%10 Aug →
mirage13–00.0356%10 Aug →
dust213–10.2644%5 Aug →
dust213–10.2336%5 Aug →
dust213–100.0323%5 Aug →
mirage13–10.0967%5 Aug →
mirage12–120.1130%5 Aug →
mirage1–130.000%5 Aug →
mirage13–30.0248%5 Aug →
mirage13–50.1638%5 Aug →
mirage7–130.0217%5 Aug →
mirage13–70.1127%5 Aug →
mirage13–100.1023%31 Jul →
mirage13–70.0927%31 Jul →
mirage11–130.0923%31 Jul →
mirage13–40.1226%30 Jul →
mirage13–40.0632%30 Jul →
ancient13–50.0454%30 Jul →
mirage13–6-0.0133%30 Jul →
nuke11–130.0741%30 Jul →
mirage13–20.1320%30 Jul →
mirage13–40.1427%29 Jul →
cache12–120.0243%29 Jul →
nuke13–70.0544%29 Jul →
dust29–130.1035%29 Jul →
mirage3–13-0.0528%29 Jul →
mirage13–40.1729%29 Jul →
vertigo12–120.0438%29 Jul →
vertigo13–70.0530%29 Jul →
vertigo13–30.0720%29 Jul →
ancient3–130.0627%27 Jul →
mirage13–20.1624%27 Jul →
mirage13–40.0838%27 Jul →
mirage13–100.1028%27 Jul →
mirage8–130.1435%27 Jul →
mirage13–90.1720%26 Jul →
mirage12–120.1845%26 Jul →
mirage13–30.0636%26 Jul →
mirage13–50.1342%26 Jul →
mirage13–30.1833%25 Jul →
inferno13–90.0624%25 Jul →
inferno13–20.16100%25 Jul →
nuke13–30.1746%25 Jul →
mirage13–80.1939%25 Jul →
anubis13–30.2133%25 Jul →
ancient0–70.0267%25 Jul →
mirage13–60.1237%25 Jul →
mirage0–13-0.040%25 Jul →
mirage13–10.0533%25 Jul →
ancient13–80.0642%25 Jul →
mirage13–40.0333%22 Jul →
mirage13–20.270%22 Jul →
anubis13–20.1541%22 Jul →
nuke11–3-0.0347%19 Jul →
mirage13–10.1754%19 Jul →
mirage5–130.1274%19 Jul →
mirage13–9-0.030%17 Jul →
mirage13–50.0331%17 Jul →
mirage13–100.0629%14 Jul →
dust20–13-0.0950%14 Jul →
mirage3–00.000%13 Jul →
mirage13–10-0.0133%13 Jul →
ancient13–90.1026%13 Jul →
inferno13–00.0167%12 Jul →
mirage0–6-0.020%12 Jul →
nuke0–9-0.030%12 Jul →
dust27–130.0434%12 Jul →
mirage13–100.1238%12 Jul →
anubis13–70.0927%12 Jul →
dust213–2-0.0240%11 Jul →
dust213–100.0634%11 Jul →
nuke11–13-0.120%10 Jul →
ancient13–100.0628%10 Jul →
mirage1–70.0839%8 Jul →
ancient5–13-0.0027%6 Jul →
dust28–13-0.0312%6 Jul →
mirage13–70.0233%6 Jul →
mirage3–13-0.0844%6 Jul →
nuke13–90.0525%6 Jul →
nuke13–70.0625%6 Jul →
mirage5–130.0135%6 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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