JanneCtae

JanneCtae — CS2 Stats

76561197960295366[U:1:29638]Steam profile ↗✓ No bans

2,280Tracked matches52%Win rate2020Tracked since
CSDB Rating5.9 SolidSupport
Premier CS Rating18,586Purple band · top ~14.1% of ranked players (population est.)
FaceitLevel 7 · 1,492 ELOTop 42.3% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (11 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: 18,586 +4,252 10 May – 24 Oct · 17 days played
12,92418,734peak 18,73410 May24 Oct
Faceit ELO: 1,492 +0 10 Sept – 22 Sept · 3 observations
1,4921,492peak 1,49210 Sept22 Sept
18,734Peak Premier in tracked matches
1,492Highest Faceit ELO seen on CSDB
52Days played since 2026-05-10

Faceit ELO

  • At peak — 1,492
  • Next: Level 8 at 1,531 — 39 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-10
  • Level 6 first seen 2026-09-10

Premier CS Rating

  • 148 below peak (18,734)
  • +774 over 30 days · improving
  • Next: Pink band at 20,000 — 1,414 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-22
  • Blue band first seen 2026-09-22

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.GGJanneCtaeFACEITLevel 7 · 1,492 ELOSTANDINGTop 42.3% of rankedPREMIER18,586 · Purple bandPEAK ELO1,492csdb.gg/stats

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Performance scores

Aim72
Positioning54
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateWLWLLWLLWW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −0.5pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 597ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 611ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 609ms

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 (+2.7 against its own average).

Aim7.2
Utility6.4
Positioning5.4
Opening Duels0.4
Clutch2.6

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 75% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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 45% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 587ms 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

Aim7.2
Positioning5.4
Utility6.4
Mechanics6.7
Opening Duels1.8
Win Impact5.6

Composite 5.9/10 (Solid), 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 -0.01 → last ⅓ avg -0.02
Reaction time593ms−61ms
first ⅓ avg 654ms → last ⅓ avg 593ms
Headshot accuracy14.0%−0.1%
first ⅓ avg 14.1% → last ⅓ avg 14.0%

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

0.08Best match rating · 13–3 · ancient, 11 May →
30%Best headshot accuracy · 8–13 · dust2, 21 May →
430msFastest reaction time · 13–10 · dust2, 11 Sept →
13–2Biggest win · nuke, 18 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–7In matches decided by ≤2 rounds
17Overtime games

Map breakdown

anubisBest map · 60% over 5ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A3319–1458%-0.02
nukeA2313–1057%-0.01
infernoA1911–858%-0.01
cacheD103–730%-0.01
ancientD82–625%-0.03
anubisA53–260%-0.02
mirage—20–20%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,553Matches
50%Win rate
0.97Avg K/D
72.3ADR
37%Headshot %

Clutches & streaks

33%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke24359%1.1115.4
Dust220050%0.8813.2
Inferno19054%1.0214.5
Anubis17947%0.9814.8
Overpass6645%1.0514.8
Ancient4025%0.8213.0
Cache2948%0.8212.8
Mirage1323%0.9112.5

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.

14.2%Headshot accuracy
37.3%Accuracy (enemy spotted)
39.1%Spray accuracy
80.3%Counter-strafing
9.3°Preaim
587msReaction time
25.9%T opening success
44.7%CT opening success
0.49Enemies flashed / flash
9.1%Flash assists
10.32HE damage / grenade
10.48Flashes / 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 14.2243% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4944 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 25.8514% — below the 40% mark we flag

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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno16–14-0.027%31 Oct →
anubis5–13-0.0312%26 Oct →
dust213–110.0020%24 Oct →
cache6–130.059%24 Oct →
dust211–13-0.0226%17 Oct →
nuke13–90.0211%16 Oct →
inferno12–160.0121%15 Oct →
nuke3–13-0.0911%12 Oct →
nuke13–30.029%3 Oct →
inferno13–50.006%3 Oct →
mirage10–130.0010%3 Oct →
inferno6–13-0.0615%2 Oct →
nuke13–110.026%2 Oct →
mirage7–13-0.0315%2 Oct →
dust213–50.0121%2 Oct →
cache13–60.059%2 Oct →
dust210–13-0.0220%1 Oct →
dust213–60.0419%1 Oct →
inferno13–5-0.0110%25 Sept →
nuke15–150.0313%25 Sept →
inferno6–13-0.0414%24 Sept →
inferno9–13-0.0416%23 Sept →
ancient3–13-0.105%23 Sept →
anubis16–13-0.0013%20 Sept →
dust213–30.0221%20 Sept →
inferno13–10-0.0521%20 Sept →
ancient2–13-0.1111%20 Sept →
cache16–12-0.0512%20 Sept →
nuke13–80.0117%20 Sept →
anubis13–16-0.0419%20 Sept →
dust213–10-0.0514%18 Sept →
inferno13–8-0.0316%18 Sept →
cache13–11-0.0211%18 Sept →
nuke13–100.0013%18 Sept →
dust213–3-0.0329%18 Sept →
dust213–10-0.0410%11 Sept →
cache10–13-0.0517%11 Sept →
cache8–13-0.0416%3 Sept →
nuke9–13-0.036%23 Aug →
dust26–13-0.0518%22 Aug →
dust28–13-0.0216%12 Aug →
dust213–60.0521%10 Aug →
inferno13–70.0510%9 Aug →
dust29–2-0.070%24 Jul →
nuke10–13-0.0417%23 Jul →
anubis13–11-0.0216%21 Jul →
cache15–15-0.037%18 Jul →
dust211–13-0.0911%18 Jul →
nuke13–2-0.0418%18 Jul →
nuke10–13-0.049%18 Jul →
dust28–13-0.0510%18 Jul →
nuke13–90.0812%18 Jul →
nuke19–160.0113%5 Jul →
dust23–13-0.0614%5 Jul →
inferno15–15-0.0314%5 Jul →
dust211–13-0.0015%5 Jul →
dust213–110.0024%5 Jul →
dust210–13-0.057%4 Jul →
nuke4–13-0.015%4 Jul →
dust213–5-0.0120%4 Jul →
inferno13–80.018%3 Jul →
nuke13–10-0.077%2 Jul →
nuke13–5-0.0516%2 Jul →
dust28–13-0.0912%2 Jul →
dust213–10-0.0211%2 Jul →
dust222–200.0016%29 Jun →
anubis13–7-0.0215%18 Jun →
nuke9–130.0512%18 Jun →
inferno13–110.0313%17 Jun →
ancient11–13-0.0215%17 Jun →
dust213–11-0.0215%14 Jun →
dust213–10-0.039%12 Jun →
inferno7–13-0.0417%12 Jun →
nuke13–100.0417%9 Jun →
dust213–90.0221%6 Jun →
cache7–13-0.032%5 Jun →
ancient1–130.019%2 Jun →
dust22–130.0117%2 Jun →
nuke13–16-0.0514%1 Jun →
ancient9–13-0.0612%29 May →
dust213–90.0224%29 May →
cache14–16-0.0313%26 May →
nuke8–13-0.0220%26 May →
dust28–130.0230%21 May →
cache17–190.0420%20 May →
nuke13–110.009%19 May →
inferno13–90.0512%19 May →
inferno13–7-0.0111%18 May →
ancient13–100.0218%17 May →
dust216–120.0212%17 May →
ancient8–13-0.044%14 May →
inferno11–13-0.0316%14 May →
dust210–13-0.1014%14 May →
dust215–15-0.0315%13 May →
nuke13–16-0.072%12 May →
dust213–8-0.0117%11 May →
nuke19–150.0012%11 May →
ancient13–30.0812%11 May →
inferno13–2-0.0610%10 May →
inferno10–130.0423%10 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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