»»¶¶ Jokipiin Prinsessa ¶

»»¶¶ Jokipiin Prinsessa ¶ — CS2 Stats

FI76561198397026730[U:1:436761002]Steam profile ↗✓ No bans

1,190Tracked matches38%Win rate2022Tracked since
CSDB Rating3.5 LearningSupport
Premier CS Rating6,337Light Blue band · top ~72.4% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanSilver II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). 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: 6,337 -1,347 27 May – 4 Nov · 24 days played
3,8898,227peak 8,22727 May4 Nov
8,568Peak Premier in tracked matches
42Days played since 2026-05-27

Premier CS Rating

  • 1,890 below peak (8,227)
  • +2,448 over 30 days · improving
  • -1,597 over 90 days
  • Next: Blue band at 10,000 — 3,663 to go
  • Reached: Light Blue band

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

Share this profile

CSDB.GG»»¶¶ Jokipiin Prinsessa ¶FACEITLevel 3STANDINGTop 90.6% of rankedPREMIER6,337 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim40
Positioning47
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY38–59–3Last 10038%Win rateWWWWLWLLLL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +5.3pp headshot accuracy · +21ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 556ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 584ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 573ms

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 (+1.3 against its own average).

Aim4.0
Utility4.8
Positioning4.7
Opening Duels1.3
Clutch3.0

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 75% 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

Reaction time. 569ms 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

Aim4.0
Positioning4.7
Utility4.8
Mechanics5.3
Opening Duels1.7
Win Impact1.0

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time571ms−32ms
first ⅓ avg 603ms → last ⅓ avg 571ms
Headshot accuracy11.7%−1.5%
first ⅓ avg 13.2% → last ⅓ avg 11.7%

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 · 7–1 · anubis, 27 May →
34%Best headshot accuracy · 13–4 · dust2, 24 Jun →
430msFastest reaction time · 9–13 · office, 28 Oct →
13–4Biggest win · nuke, 3 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W4Current streak
7–6In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 56% over 9anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2D3211–2134%-0.04
mirageB2311–1248%-0.04
infernoD154–1127%-0.05
cacheD103–730%-0.05
nukeA95–456%-0.05
anubisD51–420%-0.01
ancient—43–175%-0.03
office—10–10%-0.03
vertigo—10–10%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

260Matches
50%Win rate
0.72Avg K/D
67.5ADR
40%Headshot %

Clutches & streaks

35%1v1 clutch win
14%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage7244%0.7411.5
Dust26060%0.7711.7
Inferno3063%0.8213.6
Nuke2245%0.6310.0
Anubis1527%0.6110.7
Cache862%0.5410.3
Ancient743%0.8213.1
Vertigo667%0.5913.3

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.

11.5%Headshot accuracy
29.0%Accuracy (enemy spotted)
34.1%Spray accuracy
73.8%Counter-strafing
12.1°Preaim
569msReaction time
33.8%T opening success
39.6%CT opening success
0.44Enemies flashed / flash
3.2%Flash assists
10.96HE damage / grenade
12.14Flashes / 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 12.0743° — 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 11.5166% — below the 15% mark we flag

    Aim Training →
  3. 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 0.439 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno22–19-0.0318%5 Nov →
nuke13–10-0.0517%4 Nov →
mirage13–70.0116%4 Nov →
ancient13–9-0.0512%3 Nov →
anubis8–13-0.0110%3 Nov →
nuke13–40.0019%3 Nov →
inferno9–13-0.0213%2 Nov →
nuke8–13-0.0318%2 Nov →
inferno6–13-0.0814%1 Nov →
mirage4–13-0.1310%1 Nov →
ancient13–40.0320%1 Nov →
nuke2–13-0.1016%30 Oct →
inferno3–13-0.123%29 Oct →
dust210–13-0.006%29 Oct →
mirage13–70.0115%29 Oct →
dust213–5-0.070%29 Oct →
office9–13-0.0314%28 Oct →
dust213–9-0.0812%28 Oct →
dust213–9-0.049%27 Oct →
mirage1–6-0.120%27 Oct →
mirage13–100.0313%20 Oct →
vertigo18–22-0.029%18 Oct →
cache2–13-0.0919%16 Oct →
mirage3–13-0.0213%16 Oct →
anubis7–13-0.046%16 Oct →
mirage2–13-0.005%16 Oct →
mirage3–13-0.050%16 Oct →
dust211–13-0.076%14 Oct →
inferno15–15-0.1110%9 Oct →
cache11–13-0.1012%1 Oct →
dust20–13-0.0418%1 Oct →
dust213–11-0.0413%13 Sept →
mirage5–13-0.0820%13 Sept →
mirage13–11-0.105%4 Sept →
mirage12–16-0.085%4 Sept →
nuke13–11-0.077%20 Aug →
mirage4–130.008%20 Aug →
dust21–13-0.105%20 Aug →
anubis11–13-0.026%17 Aug →
nuke2–12-0.180%11 Aug →
inferno15–15-0.0111%11 Aug →
cache6–130.0421%5 Aug →
dust23–13-0.0219%5 Aug →
mirage13–110.0016%5 Aug →
nuke13–70.0717%4 Aug →
cache13–8-0.0118%4 Aug →
cache13–6-0.0011%4 Aug →
dust216–12-0.0512%4 Aug →
inferno15–15-0.0215%29 Jul →
dust23–13-0.0812%28 Jul →
dust26–13-0.039%28 Jul →
dust26–13-0.0924%27 Jul →
mirage13–4-0.0619%25 Jul →
cache3–13-0.017%25 Jul →
mirage13–7-0.039%25 Jul →
mirage3–130.0528%25 Jul →
dust24–13-0.0715%9 Jul →
cache13–4-0.1012%9 Jul →
dust222–19-0.0414%7 Jul →
inferno10–13-0.0514%29 Jun →
mirage13–110.0226%29 Jun →
dust213–4-0.0234%24 Jun →
dust27–13-0.039%24 Jun →
dust22–30.0110%24 Jun →
cache3–13-0.100%23 Jun →
inferno9–13-0.0515%21 Jun →
anubis0–13-0.0829%21 Jun →
mirage13–8-0.0620%21 Jun →
dust210–13-0.0316%21 Jun →
dust213–40.0310%21 Jun →
inferno10–130.0016%16 Jun →
dust29–130.0216%13 Jun →
ancient10–13-0.0816%12 Jun →
mirage13–6-0.0117%12 Jun →
mirage5–13-0.0912%12 Jun →
inferno4–9-0.0431%11 Jun →
dust211–13-0.1118%11 Jun →
dust28–13-0.0414%11 Jun →
dust214–16-0.0319%11 Jun →
dust25–13-0.016%9 Jun →
inferno16–14-0.069%9 Jun →
mirage13–50.0412%9 Jun →
ancient13–10-0.0210%9 Jun →
dust27–130.0413%9 Jun →
inferno13–40.0210%9 Jun →
dust210–13-0.0413%5 Jun →
nuke13–9-0.059%5 Jun →
mirage8–13-0.107%5 Jun →
dust213–40.0222%4 Jun →
inferno5–13-0.100%4 Jun →
mirage8–13-0.0617%4 Jun →
nuke7–13-0.026%4 Jun →
dust213–100.0111%4 Jun →
cache7–13-0.099%1 Jun →
dust24–13-0.087%1 Jun →
cache6–13-0.0721%1 Jun →
dust21–13-0.075%28 May →
anubis7–10.0914%27 May →
dust214–16-0.0410%27 May →
inferno13–8-0.0219%27 May →

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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