Seal With It

Seal With It — CS2 Stats

76561198076565848[U:1:116300120]Steam profile ↗✓ No bans

249Tracked matches28%Win rate2021Tracked since
CSDB Rating1.5 LearningPositional Player
WingmanGold Nova II
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 6,110 -1,374 17 May – 13 Jul · 27 days played
5,5658,006peak 8,00617 May13 Jul
8,356Peak Premier in tracked matches
59Days played since 2025-03-31

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

Performance scores

Aim8
Positioning26
Utility11

0–100 skill scores via Leetify.

Recent form

COLD31–65–4Last 10031%Win rateLLLLLLWWLL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +1.0pp headshot accuracy · −3ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 13%
  • Avg reaction 694ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 13%
  • Avg reaction 756ms

Last 20

  • 4–15–1 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 758ms

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 (+1.4 against its own average).

Aim0.8
Utility1.1
Positioning2.6
Opening Duels0.0

Strong CT-side openerLimited 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

jL

Plays most like jL 71% playstyle similarity

Most alike: positioning profile, utility contribution.

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 36% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 759ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim0.8
Positioning2.6
Utility1.1
Mechanics3.3
Opening Duels0.7
Win Impact0.0

Composite 1.5/10 (Learning), 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-0.05+0.00
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time749ms+67ms
first ⅓ avg 682ms → last ⅓ avg 749ms
Headshot accuracy12.1%+1.6%
first ⅓ avg 10.5% → last ⅓ avg 12.1%

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

0.04Best match rating · 9–5 · brewery, 9 May →
28%Best headshot accuracy · 11–9 · inferno, 7 Jun →
484msFastest reaction time · 13–3 · inferno, 24 Apr →
13–1Biggest win · jura, 8 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L6Current streak
3–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 36% over 22ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoC228–1436%-0.04
dust2D225–1723%-0.06
mirageC176–1135%-0.05
nukeD123–925%-0.06
ancientD61–517%-0.07
train—41–325%-0.06
anubis—41–325%-0.09
grail—32–167%-0.02
jura—32–167%-0.01
vertigo—20–20%-0.04
overpass—21–150%-0.03
agency—10–10%-0.11
dogtown—10–10%-0.09
brewery—11–0100%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient 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.

12.2%Headshot accuracy
20.9%Accuracy (enemy spotted)
24.1%Spray accuracy
65.0%Counter-strafing
12.1°Preaim
759msReaction time
16.7%T opening success
35.5%CT opening success
0.41Enemies flashed / flash
0.9%Flash assists
8.93HE damage / grenade
3.59Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.1422° — above the 12° mark we flag

    Aim Training →
  2. 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 12.2307% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 759.1288ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Ancient

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno10–13-0.0413%19 Nov →
train9–13-0.068%3 Nov →
vertigo11–13-0.0715%27 Sept →
train5–13-0.1020%27 Sept →
mirage10–13-0.0312%20 Sept →
ancient4–13-0.0513%20 Sept →
dust213–9-0.0723%13 Sept →
grail13–2-0.0210%13 Sept →
anubis11–13-0.069%13 Sept →
dust211–13-0.095%13 Sept →
dust211–13-0.090%30 Aug →
nuke12–12-0.0413%30 Aug →
inferno5–13-0.055%17 Aug →
ancient6–13-0.0819%17 Aug →
dust28–13-0.0117%11 Aug →
mirage7–13-0.0420%11 Aug →
mirage9–13-0.0512%10 Aug →
ancient16–12-0.0216%10 Aug →
inferno13–40.045%28 Jul →
nuke10–13-0.0811%26 Jul →
overpass10–50.0010%26 Jul →
mirage1–13-0.0918%26 Jul →
mirage13–9-0.022%26 Jul →
overpass5–13-0.067%23 Jul →
inferno11–13-0.0616%16 Jul →
mirage7–13-0.053%13 Jul →
nuke16–12-0.0510%12 Jul →
train13–6-0.0119%12 Jul →
dust28–13-0.0518%9 Jul →
mirage7–13-0.0424%6 Jul →
dust26–13-0.1111%5 Jul →
inferno13–10-0.045%3 Jul →
dust27–13-0.1213%2 Jul →
inferno13–9-0.0116%1 Jul →
mirage13–4-0.0214%1 Jul →
inferno7–13-0.1011%30 Jun →
inferno5–13-0.076%29 Jun →
nuke15–15-0.0511%29 Jun →
mirage6–13-0.0411%28 Jun →
dust28–13-0.062%28 Jun →
inferno3–13-0.009%26 Jun →
mirage6–13-0.108%23 Jun →
mirage16–14-0.0715%22 Jun →
dust211–30.0024%21 Jun →
inferno9–13-0.030%21 Jun →
ancient15–15-0.075%21 Jun →
mirage13–3-0.0120%16 Jun →
dust28–13-0.1016%16 Jun →
inferno7–13-0.0917%15 Jun →
agency7–13-0.119%15 Jun →
nuke9–13-0.0716%14 Jun →
dust29–13-0.085%12 Jun →
nuke5–13-0.089%9 Jun →
jura13–10.0126%8 Jun →
jura13–10-0.0213%8 Jun →
nuke6–13-0.095%7 Jun →
inferno11–9-0.0628%7 Jun →
inferno13–3-0.063%7 Jun →
anubis13–6-0.0917%1 Jun →
nuke13–4-0.0519%30 May →
nuke5–13-0.0715%29 May →
dust23–13-0.0320%23 May →
train8–13-0.0723%22 May →
ancient8–13-0.1010%17 May →
inferno13–10.0411%17 May →
dust213–5-0.046%10 May →
inferno13–16-0.027%9 May →
anubis4–13-0.095%9 May →
dogtown5–9-0.096%9 May →
brewery9–50.045%9 May →
grail9–13-0.0615%8 May →
jura5–13-0.0216%8 May →
grail8–10.015%8 May →
dust24–13-0.104%30 Apr →
dust28–13-0.0611%28 Apr →
ancient10–13-0.0913%28 Apr →
mirage7–13-0.0517%28 Apr →
dust29–13-0.1119%25 Apr →
dust23–13-0.0916%25 Apr →
nuke3–13-0.0910%25 Apr →
mirage6–13-0.0411%25 Apr →
inferno8–13-0.0815%25 Apr →
anubis5–13-0.109%24 Apr →
inferno13–30.0110%24 Apr →
inferno7–13-0.0610%23 Apr →
nuke6–13-0.0723%23 Apr →
dust213–10-0.029%21 Apr →
mirage5–13-0.087%19 Apr →
inferno7–13-0.1015%19 Apr →
vertigo8–8-0.022%18 Apr →
dust213–16-0.079%14 Apr →
dust29–13-0.019%12 Apr →
inferno8–13-0.062%12 Apr →
dust210–13-0.0611%11 Apr →
inferno13–9-0.093%10 Apr →
inferno1–13-0.0524%9 Apr →
nuke16–14-0.0113%5 Apr →
mirage13–7-0.038%5 Apr →
mirage13–7-0.060%31 Mar →
dust213–50.0117%31 Mar →

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 →

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