Jean Tap Sibelius

Jean Tap Sibelius — CS2 Stats

FI76561199093066019[U:1:1132800291]Steam profile ↗✓ No bans

2,224Tracked matches53%Win rate2023Tracked since
CSDB Rating5.0 DevelopingPositional Player
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 2,224 tracked matches. 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. 42 days played since 24 Jun 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 14,622 -22 11 Aug17 Sept · 4 days played
14,42714,999peak 14,99911 Aug17 Sept
14,999Peak Premier in tracked matches
42Days played since 2025-06-24

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

Share this profile

CSDB.GGJean Tap SibeliusFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim46
Positioning53
Utility48

0–100 skill scores via Leetify.

Recent form

HOT56431Last 10056%Win rateWWWWWLLWLW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +2.8pp headshot accuracy · −13ms reaction

Win rate up 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

  • 50 · 100% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 666ms

Last 10

  • 73 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 25%
  • Avg reaction 679ms

Last 20

  • 119 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 686ms

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 PlayerPositioning stands above the rest of this profile (+1.1 against its own average).

Aim4.6
Utility4.8
Positioning5.3
Opening Duels3.3
Clutch3.4

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 73% 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

Reaction time. 684ms 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

Aim4.6
Positioning5.3
Utility4.8
Mechanics6.6
Opening Duels2.3
Win Impact6.1

Composite 5.0/10 (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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time676ms−24ms
first ⅓ avg 701ms → last ⅓ avg 676ms
Headshot accuracy22.2%+5.0%
first ⅓ avg 17.2% → last ⅓ avg 22.2%

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

0.17Best match rating · 9–3 · train, 12 Jun
47%Best headshot accuracy · 9–3 · train, 12 Jun
453msFastest reaction time · 6–3 · office, 12 Jun
13–2Biggest win · inferno, 9 Aug

Across the last 100 tracked matches.

Highlights

9Longest win streak
W5Current streak
86In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 75% over 8trainWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
ancientA2012860%-0.02
mirageB1910953%-0.02
infernoB189950%-0.03
dust2B126650%-0.03
trainD93633%-0.00
nukeS86275%-0.02
anubisA53260%-0.04
overpass43175%-0.02
cache32167%0.03
office110100%0.01
vertigo110100%-0.08

Across the last 100 tracked matches.

Faceit stats

Combat

1,510Matches
50%Win rate
0.82Avg K/D
64.4ADR
43%Headshot %

Clutches & streaks

37%1v1 clutch win
15%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient27155%0.9113.3
Nuke25660%0.8612.9
Anubis22547%0.8012.6
Inferno14047%0.8312.7
Dust210538%0.7712.0
Vertigo9344%0.7912.0
Mirage8444%0.8313.1
Overpass7850%0.7412.4

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.

22.9%Headshot accuracy
26.6%Accuracy (enemy spotted)
28.1%Spray accuracy
79.9%Counter-strafing
10.5°Preaim
684msReaction time
34.7%T opening success
43.7%CT opening success
0.53Enemies flashed / flash
5.6%Flash assists
7.63HE damage / grenade
10.11Flashes / 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 34.7472% — below the 40% mark we flag

Spend your practice time on Train

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
train9–30.1747%12 Jun
office6–30.010%12 Jun
nuke13–9-0.0616%11 Jun
cache13–40.0626%11 Jun
mirage13–9-0.0229%8 Jun
dust22–13-0.0840%8 Jun
mirage7–13-0.0529%3 Jun
ancient13–7-0.058%3 Jun
inferno9–13-0.0325%3 Jun
dust213–70.0627%28 May
cache8–13-0.0324%28 May
mirage11–130.0524%28 May
cache13–70.0720%28 May
inferno13–80.0021%28 May
dust211–13-0.0421%28 May
mirage13–16-0.0416%27 May
anubis9–13-0.0432%27 May
mirage6–13-0.0725%27 May
mirage13–7-0.0620%24 May
ancient13–10-0.0617%18 May
mirage13–11-0.0722%18 May
ancient9–13-0.0428%18 May
dust211–13-0.0624%18 May
ancient10–13-0.0330%18 May
inferno11–13-0.0610%20 Sept
inferno13–6-0.0513%19 Sept
train12–16-0.0536%19 Sept
ancient16–14-0.0121%19 Sept
ancient13–5-0.0328%17 Sept
dust213–6-0.0310%25 Aug
inferno8–13-0.090%25 Aug
ancient13–40.0115%22 Aug
inferno13–90.0026%21 Aug
ancient6–13-0.0433%21 Aug
dust213–80.1226%21 Aug
mirage13–60.0215%21 Aug
nuke13–40.0119%19 Aug
mirage13–40.0424%19 Aug
inferno19–15-0.0417%19 Aug
inferno13–10-0.0423%18 Aug
dust213–4-0.0229%18 Aug
overpass13–11-0.013%18 Aug
ancient13–90.0310%18 Aug
mirage0–7-0.070%17 Aug
mirage10–13-0.0710%17 Aug
train13–10-0.0111%16 Aug
ancient13–90.0219%11 Aug
mirage13–10-0.0121%11 Aug
train9–13-0.0424%11 Aug
nuke13–40.0119%11 Aug
nuke12–16-0.0226%11 Aug
inferno6–13-0.0416%11 Aug
mirage11–13-0.0622%11 Aug
nuke13–8-0.0317%11 Aug
overpass13–4-0.0130%11 Aug
dust23–13-0.0625%11 Aug
inferno11–13-0.0124%11 Aug
inferno5–13-0.0223%10 Aug
train9–13-0.0225%10 Aug
ancient13–60.0122%9 Aug
dust24–13-0.0524%9 Aug
mirage13–90.0322%9 Aug
dust28–13-0.0346%9 Aug
train8–13-0.0327%9 Aug
vertigo13–8-0.0828%9 Aug
inferno13–20.0134%9 Aug
ancient6–13-0.1119%9 Aug
ancient13–110.0716%8 Aug
overpass13–100.0018%8 Aug
mirage13–9-0.0320%8 Aug
ancient12–12-0.0813%8 Aug
dust213–11-0.0720%8 Aug
dust213–8-0.0519%8 Aug
overpass7–13-0.0517%8 Aug
mirage13–100.0119%7 Aug
mirage13–30.0317%3 Aug
ancient13–80.0518%30 Jul
mirage5–13-0.0818%29 Jul
inferno9–13-0.0311%24 Jul
inferno13–3-0.0423%21 Jul
inferno10–13-0.0512%16 Jul
inferno10–13-0.0621%15 Jul
nuke13–9-0.0321%10 Jul
train10–13-0.0216%8 Jul
ancient13–110.0421%7 Jul
inferno13–9-0.0215%6 Jul
ancient3–13-0.0820%6 Jul
mirage8–13-0.0216%5 Jul
ancient13–11-0.0410%4 Jul
anubis13–7-0.0626%4 Jul
anubis13–7-0.0610%3 Jul
anubis13–8-0.0213%2 Jul
inferno13–9-0.0525%2 Jul
ancient6–13-0.0612%2 Jul
train4–13-0.0424%27 Jun
nuke13–11-0.0116%27 Jun
nuke12–16-0.0318%26 Jun
ancient8–13-0.0713%25 Jun
train13–70.0123%25 Jun
anubis10–13-0.047%24 Jun

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 →