Teams · RUTS program report · NCAA D-III · State University of New York Athletic Conference · 9 varsity sports
SUNY

State University of New York at Cortland

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
34.0
24h
-0.2%
NCAA D-III rank
#259 / 422
Posture
Build
Tier 3 · Growth · modeled from membership, sponsorship breadth and conference tier · 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.
63.6M40%
22.9 index
9.2
DSPS · Digital / social
Owned + earned social reach across team, athlete and fan channels.
104.2M40%
25.2 index
10.1
CSRS · City / state / diaspora
Addressable population in-market plus diaspora communities that convert.
275K10%
6.9 index
0.7
SPS · Stadium presence
Gate capacity — the physical activation surface per home date.
15K10%
14.4 index
1.4
Layer 2 · content inventory

What the calendar is actually worth

  • 13 scheduled eventsEach one is a pre / live / post content unit — three placements minimum.
  • 104 clip slotsEight harvestable clips per event at conservative capture.
  • 108,360 season attendance7 home dates × 15,480 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
NY, NY core catchment
275K
Season gate
7 home dates × 15,480 seats
108K
Social reach
Owned + athlete + fan channels
104.2M
Media impressions
Broadcast, syndication, national press
63.6M
Engagement volume
24h interaction throughput
1.2M
Layer 4 · modeled return
Year-one sponsorable inventory band
$82K – $270K
Blended effective CPM
$1400.51
Tier
Tier 3 · Growth

Band assumes the 104 clip slots and 13 event windows are packaged and sold as one season product, with the NY 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.

NY, NY · commercial market
88 / 100
Market output
$2.30T
annual GDP in the footprint
Employer firms
640K
businesses that can buy inventory
Small businesses
2.5M
incl. non-employer firms
Addressable pool
$177.1M
local sponsor $ per year
Club marketNY, NY · NY$2.30T · 640K firms
Where the budget sits
Banking & insurance$53.3M
Auto & dealer groups$16.4M
Retail & commerce$16.4M
Healthcare systems$15.0M
QSR & beverage$13.7M
Tech & software$12.3M
Interest lanes · breadth 1.56×
Youth & education · $77.9MFitness & wellness · $45.1M

2 declared interest lanes unlock 61% of the local sponsor pool — a 1.56× breadth multiplier on reach.

  • · NY, NY is the commercial anchor — $2300B of output and 639,907 employer firms inside the footprint.
  • · Banking & insurance holds the largest slice of local budget here (30% of the pool, ~$53,294K a year) — lead the sell there.
  • · 2,495,637 small businesses sit in these markets. Small-business packages are the fastest revenue to close because they need no national approval.
  • · This business base is why State University of New York at Cortland carries earnings potential beyond raw follower count.
State University of New York at Cortland · earning potential, market cap & fan economy
4.3× · vis 34.0
Annual earning potential
$17.6M
$9.8M – $31.6M
Market cap
$75.5M
$29.6M – $183.6M
Sponsorship band
$12.8M
$7.1M – $23.7M / yr
Fan economy
$7.9M
131,702 fans · $60/yr
Fan economy split
Gate & live attendance$3.2M
Merchandise & licensed product$2.7M
Digital, content & subscriptions$2.0M
  • · Visibility 34.0 converts to a 4.6% capture rate against a $177.1M local sponsor pool.
  • · 131,702 monetizable fans at $60/yr drive $7.90M of fan-economy revenue.
  • · Capitalized at a 4.3x revenue multiple. Modeled estimate, not a reported valuation.
  • · Every figure above is State University of New York at Cortland'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 State University of New York at Cortland 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 SUNY score sheet: verify Digital / social as the lead asset (25.2 index).
  • · Audit every owned handle and map the 110 athlete channels into one distribution graph.
  • · Price the 104 clip slots against comparable CFB inventory before any sell motion.
Days 31–60 · Build
  • · Close the City / state / diaspora gap — it is the lowest normalized input at 6.9.
  • · Stand up 3 recurring franchises around the 7 home dates (pre / live / post).
  • · Build a NY/NY civic lane — local commerce converts before national does.
Days 61–90 · Monetize
  • · Package 13 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 +6.6 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.

Reading roster…
Layer 6 · roster

Roster on file

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

Loading roster from the athlete database…
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 SUNY into RUTS Analysis to adjust inputs, or scope live opportunities in NY.