Sealiah

Sealiah — CS2 Stats

76561199546488173[U:1:1586222445]Steam profile ↗✓ No bans

370Tracked matches73%Win rate2023Tracked since
CSDB Rating7.5 StrongSupport
Premier CS Rating27,867Top 5% of 175,286 CSDB-tracked playersRed band · top ~1.6% of ranked players (population est.)
CSDB Leaderboard#2510 of 221425 tracked
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Jul 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.

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. 25 days played since 7 Jan 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 27,867 +11,320 7 Jan17 Sept · 20 days played
16,10530,108peak 30,1087 Jan17 Sept
30,108Peak Premier in tracked matches
25Days played since 2026-01-07

Premier CS Rating

  • 2,241 below peak (30,108)
  • Next: Gold band at 30,000 2,133 to go
  • Reached: Gold band · Red band · Pink band · Purple band
  • Red band first seen 2026-09-17
  • Pink band first seen 2026-09-17

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.GGSealiahPREMIER27,867 · 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

Aim78
Positioning58
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY7129Last 10071%Win rateLLWLLWWWLW

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −8.1pp headshot accuracy · +50ms 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

  • 14 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 8%
  • Avg reaction 735ms

Last 10

  • 55 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 664ms

Last 20

  • 137 · 65% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 639ms

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: SupportUtility contribution stands above the rest of this profile (+0.9 against its own average).

Aim7.8
Utility7.0
Positioning5.8
Opening Duels5.4

Strong CT-side opener

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

iM

Plays most like iM 84% playstyle similarity

Most alike: opening-duel success, 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

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 606ms 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

Aim7.8
Positioning5.8
Utility7.0
Mechanics7.9
Opening Duels3.8
Win Impact10.0

Composite 7.5/10 (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 rating0.04−0.00
first ⅓ avg 0.04 → last ⅓ avg 0.04
Reaction time617ms−53ms
first ⅓ avg 670ms → last ⅓ avg 617ms
Headshot accuracy22.1%−2.1%
first ⅓ avg 24.2% → 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

0.23Best match rating · 13–5 · dust2, 6 Mar
42%Best headshot accuracy · 10–13 · inferno, 15 Jan
422msFastest reaction time · 8–13 · ancient, 14 Mar
13–0Biggest win · ancient, 11 Mar

Across the last 100 tracked matches.

Highlights

12Longest win streak
L2Current streak
75In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 88% over 17dust2Weakest map · 61% over 28
MapGradePlayedRecordWin rateAvg rating
dust2A28171161%0.02
mirageS2015575%0.04
ancientS1914574%0.06
infernoS1715288%0.05
nukeA85363%0.04
overpass42250%0.06
anubis330100%0.04
train1010%-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (61% over 28). Start with the 6 essential Dust 2 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
35.8%Accuracy (enemy spotted)
39.1%Spray accuracy
85.7%Counter-strafing
10.2°Preaim
606msReaction time
26.9%T opening success
60.7%CT opening success
0.65Enemies flashed / flash
9.4%Flash assists
11.44HE damage / grenade
10.76Flashes / 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 26.9107% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust29–13-0.100%4 Jul
dust28–13-0.0515%4 Jul
mirage13–5-0.0512%4 Jul
dust26–130.0215%24 Jun
dust20–7-0.110%30 Mar
anubis16–130.0416%27 Mar
inferno13–50.0829%27 Mar
ancient13–50.1423%27 Mar
dust27–130.0428%27 Mar
dust213–40.1423%27 Mar
dust213–80.0122%27 Mar
inferno13–100.0720%27 Mar
dust213–50.0721%27 Mar
mirage13–30.0231%27 Mar
ancient11–130.0525%27 Mar
ancient13–60.1019%24 Mar
dust28–13-0.0522%24 Mar
inferno13–40.0630%24 Mar
dust213–110.0023%24 Mar
mirage13–40.1229%24 Mar
ancient13–70.0933%24 Mar
dust213–10.0132%24 Mar
mirage13–60.0414%23 Mar
overpass13–16-0.0122%23 Mar
mirage13–80.0732%23 Mar
inferno13–50.0518%23 Mar
mirage16–130.0522%23 Mar
ancient13–40.0821%23 Mar
inferno13–2-0.0128%23 Mar
overpass13–40.0829%23 Mar
overpass6–130.0525%23 Mar
mirage13–90.1126%23 Mar
dust25–13-0.0525%20 Mar
inferno13–7-0.0117%19 Mar
dust210–130.0312%16 Mar
ancient8–130.0017%14 Mar
ancient13–3-0.0013%11 Mar
mirage13–30.017%11 Mar
dust213–4-0.0329%11 Mar
mirage14–160.0121%11 Mar
dust213–60.0634%11 Mar
ancient13–00.0715%11 Mar
anubis13–30.0533%11 Mar
mirage13–90.0530%11 Mar
inferno13–60.0631%11 Mar
mirage13–50.0121%9 Mar
dust213–2-0.0220%9 Mar
mirage13–30.0429%9 Mar
dust213–70.0223%9 Mar
ancient13–3-0.0137%9 Mar
anubis13–100.0420%9 Mar
ancient13–00.1130%9 Mar
dust211–13-0.0326%9 Mar
inferno13–20.0815%9 Mar
ancient4–130.0813%9 Mar
mirage10–130.019%9 Mar
inferno13–70.1021%9 Mar
dust216–140.0525%9 Mar
dust213–90.0634%9 Mar
mirage7–130.0124%9 Mar
ancient16–140.0819%9 Mar
mirage13–70.1229%9 Mar
overpass13–50.1220%7 Mar
mirage3–130.0414%6 Mar
nuke9–20.1717%6 Mar
inferno9–50.1434%6 Mar
inferno13–80.1427%6 Mar
ancient8–130.0328%6 Mar
nuke7–130.0123%6 Mar
mirage13–30.0618%6 Mar
dust213–50.2327%6 Mar
dust24–130.2021%5 Mar
mirage13–80.0921%14 Feb
nuke13–70.0031%25 Jan
inferno9–30.1024%25 Jan
mirage6–13-0.0615%19 Jan
dust213–90.0220%19 Jan
ancient16–140.0627%19 Jan
ancient13–30.0318%19 Jan
nuke16–130.0430%17 Jan
ancient13–110.0840%17 Jan
nuke13–3-0.0224%16 Jan
ancient16–120.0826%16 Jan
inferno10–13-0.0342%15 Jan
inferno13–10-0.0336%15 Jan
nuke7–130.0324%15 Jan
ancient13–90.0324%15 Jan
inferno13–80.0011%12 Jan
dust216–13-0.0325%12 Jan
nuke10–130.0231%11 Jan
dust26–130.0028%11 Jan
ancient6–130.0218%8 Jan
inferno11–130.0119%8 Jan
dust213–110.0432%7 Jan
inferno16–140.0223%7 Jan
nuke13–90.0827%7 Jan
dust213–4-0.0113%7 Jan
dust29–30.0624%7 Jan
train11–13-0.0014%7 Jan
mirage13–90.0614%7 Jan

Match data via Leetify.

Recent teammates

Milestones

100 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →