Seasmoke

Seasmoke — CS2 Stats

IT76561198280205823[U:1:319940095]Steam profile ↗✓ No bans

2,905Tracked matches40%Win rate2021Tracked since
CSDB Rating4.8 DevelopingSupport
Premier CS Rating15,716Purple band · top ~25.5% of ranked players (population est.)
FaceitLevel 5 · 1,225 ELOTop 67.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (3 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: 15,716 -766 2 Oct – 12 Nov · 26 days played
15,63719,814peak 19,8142 Oct12 Nov
19,814Peak Premier in tracked matches
1,225Highest Faceit ELO seen on CSDB
28Days played since 2026-10-02

Faceit ELO

  • At peak — 1,225
  • Next: Level 7 at 1,351 — 126 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-10-26
  • Level 5 first seen 2026-10-26

Premier CS Rating

  • 4,098 below peak (19,814)
  • -1,985 over 30 days · declining
  • Next: Pink band at 20,000 — 4,284 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-10-26
  • Blue band first seen 2026-10-26

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.GGSeasmokeFACEITLevel 5 · 1,225 ELOSTANDINGTop 67.6% of rankedPREMIER15,716 · Purple bandPEAK ELO1,225csdb.gg/stats

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Performance scores

Aim58
Positioning45
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY53–47Last 10053%Win rateWLWWLWLLLL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −0.4pp headshot accuracy · −38ms 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 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 488ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 552ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 572ms

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 (+2.1 against its own average).

Aim5.8
Utility6.1
Positioning4.5
Opening Duels1.8
Clutch3.8

Strong CT-side openerEffective flashes

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

Twistzz

Plays most like Twistzz 79% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Areas to improve

T-side openings. Opening success drops from 48% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 571ms 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

Aim5.8
Positioning4.5
Utility6.1
Mechanics5.8
Opening Duels2.4
Win Impact1.7

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-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time579ms−17ms
first ⅓ avg 596ms → last ⅓ avg 579ms
Headshot accuracy11.2%+1.0%
first ⅓ avg 10.2% → last ⅓ avg 11.2%

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 · 11–6 · inferno, 22 Oct →
32%Best headshot accuracy · 1–13 · dust2, 28 Oct →
422msFastest reaction time · 5–13 · anubis, 16 Oct →
13–2Biggest win · ancient, 16 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
8–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 76% over 21mirageWeakest map · 32% over 22
MapGradePlayedRecordWin rateAvg rating
mirageD227–1532%-0.03
ancientS2116–576%-0.00
anubisB2111–1052%-0.00
dust2B179–853%-0.02
infernoB115–645%-0.01
nukeA53–260%-0.02
cache—32–167%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (32% over 22). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

765Matches
50%Win rate
0.96Avg K/D
75.8ADR
34%Headshot %

Clutches & streaks

39%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage20652%0.9913.9
Anubis13052%0.9414.1
Ancient12852%1.0014.9
Dust210142%0.8513.2
Inferno9251%1.0514.0
Nuke4464%0.9814.7
Vertigo3244%0.7613.0
Overpass1747%1.1214.2

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.

11.0%Headshot accuracy
35.9%Accuracy (enemy spotted)
39.2%Spray accuracy
76.3%Counter-strafing
11.4°Preaim
571msReaction time
31.0%T opening success
48.1%CT opening success
0.72Enemies flashed / flash
2.5%Flash assists
6.09HE damage / grenade
9.29Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.0038% — below the 15% mark we flag

    Aim Training →
  2. 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 31.0076% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

32% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–110.058%13 Nov →
dust24–130.0220%12 Nov →
ancient13–110.008%12 Nov →
anubis13–7-0.006%12 Nov →
mirage8–13-0.0415%11 Nov →
mirage13–8-0.037%11 Nov →
mirage11–130.0015%10 Nov →
anubis2–130.0113%10 Nov →
anubis2–13-0.0220%10 Nov →
mirage2–13-0.038%10 Nov →
ancient1–13-0.0815%10 Nov →
nuke13–9-0.0411%10 Nov →
anubis5–130.045%10 Nov →
anubis13–11-0.0115%9 Nov →
mirage8–13-0.019%5 Nov →
ancient13–110.0415%5 Nov →
dust28–130.0131%4 Nov →
nuke11–13-0.0212%4 Nov →
mirage10–130.0311%4 Nov →
ancient13–5-0.012%4 Nov →
nuke12–16-0.019%3 Nov →
anubis13–110.0410%3 Nov →
ancient16–130.067%3 Nov →
dust214–16-0.0011%3 Nov →
anubis11–130.066%1 Nov →
anubis13–9-0.0413%1 Nov →
inferno4–13-0.015%31 Oct →
ancient13–60.0210%31 Oct →
dust211–13-0.109%31 Oct →
mirage11–13-0.069%31 Oct →
anubis13–80.0217%30 Oct →
ancient22–19-0.0511%30 Oct →
ancient7–130.026%29 Oct →
inferno12–16-0.038%29 Oct →
mirage13–11-0.077%28 Oct →
ancient16–13-0.027%28 Oct →
dust21–13-0.0232%28 Oct →
ancient13–7-0.0317%28 Oct →
dust24–130.0515%28 Oct →
anubis13–110.0513%27 Oct →
dust213–90.0415%27 Oct →
ancient7–13-0.037%27 Oct →
dust26–13-0.109%27 Oct →
inferno7–13-0.035%27 Oct →
mirage12–16-0.0715%27 Oct →
ancient13–60.064%27 Oct →
inferno13–60.009%27 Oct →
anubis10–13-0.0213%27 Oct →
mirage13–60.045%23 Oct →
mirage13–9-0.048%23 Oct →
inferno11–60.096%22 Oct →
ancient8–13-0.027%22 Oct →
inferno8–130.028%22 Oct →
dust213–40.0216%22 Oct →
dust213–60.009%22 Oct →
ancient13–60.0610%21 Oct →
mirage10–13-0.109%21 Oct →
ancient11–13-0.0612%21 Oct →
dust24–13-0.099%21 Oct →
anubis10–130.0113%21 Oct →
anubis13–50.0716%21 Oct →
cache13–80.0117%20 Oct →
cache5–13-0.1212%20 Oct →
mirage10–13-0.0418%20 Oct →
mirage6–130.0219%20 Oct →
anubis14–16-0.087%20 Oct →
anubis13–40.0310%19 Oct →
ancient13–6-0.029%19 Oct →
dust213–8-0.0815%19 Oct →
inferno13–10-0.034%17 Oct →
inferno3–13-0.063%17 Oct →
ancient13–20.019%16 Oct →
anubis7–13-0.084%16 Oct →
anubis5–13-0.0813%16 Oct →
mirage13–5-0.0014%16 Oct →
anubis13–70.017%16 Oct →
mirage13–7-0.0710%16 Oct →
mirage7–13-0.022%16 Oct →
mirage13–10-0.037%16 Oct →
mirage9–130.0117%14 Oct →
dust216–13-0.047%14 Oct →
dust213–9-0.0420%14 Oct →
inferno13–4-0.0118%13 Oct →
mirage10–130.0210%13 Oct →
dust213–5-0.0711%12 Oct →
dust213–90.059%12 Oct →
dust216–12-0.0215%12 Oct →
cache13–6-0.028%12 Oct →
nuke16–13-0.029%12 Oct →
anubis13–8-0.007%8 Oct →
ancient13–10-0.0010%8 Oct →
inferno13–9-0.0012%7 Oct →
mirage7–13-0.0013%7 Oct →
anubis3–130.0212%7 Oct →
ancient13–11-0.055%7 Oct →
inferno9–13-0.0414%6 Oct →
anubis13–9-0.0515%6 Oct →
nuke13–3-0.036%2 Oct →
mirage10–13-0.0614%2 Oct →
ancient13–2-0.0010%2 Oct →

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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