Teams · RUTS program report · WNBA · Toronto, ON
TORT

Toronto Tempo

Full department read: how the Team Visibility Score is built, what the calendar is worth in content units, which audience pools are addressable, and the 90-day sequence to move the number.

TVS
22.5
24h
+5.4%
WNBA rank
#14 / 15
Posture
Prove
Tier 4 · Latent · scored on tracked market inputs · TVS = SPS×0.1 + MVS×0.4 + CSRS×0.1 + DSPS×0.4
Layer 1 · decomposition

Where the score comes from

Each input normalized against the league leader, then weighted. The contribution column is what actually moves TVS.

InputRawWeightNormalizedContribution
MVS · Media visibility
Broadcast + national media impressions across the season window.
14.2M40%
27.5 index
11
DSPS · Digital / social
Owned + earned social reach across team, athlete and fan channels.
12.8M40%
20.8 index
8.3
CSRS · City / state / diaspora
Addressable population in-market plus diaspora communities that convert.
380K10%
4.6 index
0.5
SPS · Stadium presence
Gate capacity — the physical activation surface per home date.
8K10%
41.3 index
4.1
Layer 2 · content inventory

What the calendar is actually worth

  • 82 scheduled eventsEach one is a pre / live / post content unit — three placements minimum.
  • 656 clip slotsEight harvestable clips per event at conservative capture.
  • 328,000 season attendance41 home dates × 8,000 seats — the physical activation surface.
  • 110 athlete channelsDistribution nodes the program does not currently monetize.
Layer 3 · audience pools

Who is addressable

In-market metro
Toronto, ON core catchment
380K
Season gate
41 home dates × 8,000 seats
328K
Social reach
Owned + athlete + fan channels
12.8M
Media impressions
Broadcast, syndication, national press
14.2M
Engagement volume
24h interaction throughput
210K
Layer 4 · modeled return
Year-one sponsorable inventory band
$113K – $371K
Blended effective CPM
$11957.04
Tier
Tier 4 · Latent

Band assumes the 656 clip slots and 82 event windows are packaged and sold as one season product, with the Toronto market and athlete channels routed through a shared ledger. Low end is inventory-only; high end includes diaspora and commerce activation.

Layer 4b · commercial base

Businesses in this market

Who can actually write the check — firm counts, output and category budget in the club market.

Toronto, ON · commercial market
6 / 100
Market output
$0B
annual GDP in the footprint
Employer firms
0
businesses that can buy inventory
Small businesses
0
incl. non-employer firms
Addressable pool
$0
local sponsor $ per year
Where the budget sits
Banking & insurance$0
Auto & dealer groups$0
Healthcare systems$0
QSR & beverage$0
Retail & commerce$0
Tech & software$0
Interest lanes · breadth 1.28×
Fitness & wellness · $0

1 declared interest lane unlock 31% of the local sponsor pool — a 1.28× breadth multiplier on reach.

  • · No commercial market resolved — add hometown, college and club market to price the business base.
  • · This business base is why Toronto Tempo carries earnings potential beyond raw follower count.
Toronto Tempo · earning potential, market cap & fan economy
7.5× · vis 22.5
Annual earning potential
$1.1M
$639K – $1.8M
Market cap
$8.2M
$3.4M – $18.5M
Sponsorship band
$0
$0 – $0 / yr
Fan economy
$1.8M
19,215 fans · $95/yr
Fan economy split
Gate & live attendance$748K
Merchandise & licensed product$621K
Digital, content & subscriptions$456K
  • · Visibility 22.5 converts to a 2.8% capture rate against a $0.0M local sponsor pool.
  • · 19,215 monetizable fans at $95/yr drive $1.83M of fan-economy revenue.
  • · Capitalized at a 7.5x revenue multiple. Modeled estimate, not a reported valuation.
  • · Every figure above is Toronto Tempo's market economy priced through visibility — move the visibility score and the whole stack moves with it.
Sentiment index
no coverage
No external rankings or preview copy loaded for Toronto Tempo yet. Load signals →
Layer 5 · execution

90-day activation plan

Phase-gated. Each block ends in a re-score, not a report.

Days 0–30 · Baseline
  • · Lock the TORT score sheet: verify Stadium presence as the lead asset (41.3 index).
  • · Audit every owned handle and map the 110 athlete channels into one distribution graph.
  • · Price the 656 clip slots against comparable WNBA inventory before any sell motion.
Days 31–60 · Build
  • · Close the City / state / diaspora gap — it is the lowest normalized input at 4.6.
  • · Stand up 3 recurring franchises around the 41 home dates (pre / live / post).
  • · Build a Toronto/ON civic lane — local commerce converts before national does.
Days 61–90 · Monetize
  • · Package 82 events into a season sponsor tier at the modeled band.
  • · Route athlete-channel inventory into the shared rev-share ledger.
  • · Re-score at day 90; target +7.8 TVS on the next pull.
Layer 5b · storyline & value

Team analysis

Live headlines, combined roster reach, sourced franchise value and viewership — storyline written only from the pulled articles.

Active players
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Combined player IG
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Players w/ verified social
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Player press · 90d
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Team headlines · 30d
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Current storyline · written from this month's headlines
Pulling articles and writing the storyline…
Who drives attention
Latest team coverage
Layer 5c · surprises

Concealed value on this roster

Who is worth more than the attention they get — plus the full report as a PDF.

Players at or above this roster's median RUTS whose followers and 90-day press lag behind. Gap = RUTS minus attention. Only measured follower or press counts qualify — unknown never counts as low reach. Modeled, not reported.

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Layer 6 · roster

Roster on file

Read live from the athlete database — every name opens that athlete's own RUTS page.

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Layer 6 · live feed

Roster & schedule

Pulled from the official league feed, every athlete scored on the RUTS spine.

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Comparables

Nearest programs by TVS

Price against the band these teams sit in, not against the league leader.

Run this program through the terminal

Load TORT into RUTS Analysis to adjust inputs, or scope live opportunities in Toronto.