Simpatico

Licensing / co-brand · Los Angeles Dodgers → target #1 of 8

Mitchell & Ness

A premium heritage brand offering authentic, high-quality reproduction sports apparel for fans and streetwear enthusiasts.

Founded 1904 · Parent: Fanatics · Competes with New Era, Starter, Champion, Nike · Partnerships: NBA, MLB, NFL

Corporate details are Qloo entity data.

Advance
68.0F / 100
100% of the weighted evidence measured

Why this verdict

F 68.0 >= 67 and no red flags.

Scores, flags and verdicts are computed in code. The agents can only argue with the ledger; they never set the score.

Six audience metrics

Bar = this target; tick = shortlist average.

m1 Two-way audience affinity
0.80
Harmonic mean of the buyer audience’s affinity for the target and the target audience’s affinity for the buyer’s brands.
m2 Taste-profile overlap
0.35
Rank-weighted overlap of the two audiences’ top-50 cultural taste tags.
m3 Cross-domain agreement
0.89
How strongly the target’s audience embraces the buyer audience’s favourite artists, shows, films and podcasts.
m4 Demographic alignment
0.91
Similarity of the two audiences’ age and gender over-index profiles.
m5 Geographic footprint
0.33
Correlation of metro-level audience affinity, relative to the screened cohort.
m6 Momentum
0.58
Trending rank change over the last 4 weeks vs the 8 before, relative to the cohort.

How F is built

Points each metric adds (weights for Licensing / co-brand, renormalised over what Qloo could measure).

MetricWeightPoints
Two-way audience affinity0.3528.1
Taste-profile overlap0.103.5
Cross-domain agreement0.2017.7
Demographic alignment0.109.1
Geographic footprint0.206.6
Momentum0.052.9
F68.0

Qloo explainability: the buyer-side signals driving the forward affinity are Los Angeles Dodgers (1.00).

Where the audiences meet, across culture

The buyer audience’s top titles in each domain, ranked by how strongly Mitchell & Ness’s audience embraces them.

Music0.94
Embraced: Curren$y, Cam'ron, The Notorious B.I.G. · Least shared: Swishahouse, Boosie Badazz, Yo Gotti
TV0.90
Embraced: Ballers, Brockmire, Coach · Least shared: Arrested Development, It's Always Sunny in Philadelphia, Running Wilde
Film0.86
Embraced: Coach Carter, Glory Road, More Than a Game · Least shared: McFarland, USA, Nowitzki: The Perfect Shot, Varsity Blues
Podcasts0.84
Embraced: I AM RAPAPORT: STEREO PODCAST, THIS THAT & THE THIRD WITH GMOODY, How Neal Feel · Least shared: The YoYoYo Podcast w/Martin & Hooter, About Last Night, Bertcast

Taste profile overlap

26 of 74 top taste tags shared.

Both over-index on
Hip HopAmericanrapafrican americanfriendfamily relationshipsamerican footballrhythm & blues
Buyer only

Tortillas, mexican american, latino, female protagonist, Guacamole Chips

Mitchell & Ness only

Apple Strudel, hip hop, rapper, african american protagonist, Gangsta Rap

Audience shape

Los Angeles Dodgers (buyer) Mitchell & Ness
-0.78-0.390.00+0.39+0.78≤2425–2930–3435–4445–5455+MenWomen

Relative over-index (+) or under-index (−) of each aggregate audience, from Qloo. Not individual data.

Momentum

z = 0.51 relative to the screened cohort (2025-10-01).

prior 8 weekslast 4

Footprint overlap for distribution

White space: Mitchell & Ness strong, buyer weak Shared stronghold Other metros
White space

Philadelphia, New York, Chicago, Memphis, Atlanta, Detroit, Cleveland, Baltimore

Shared strongholds

San Diego, San Jose

Bull vs bear

4 of 10 claims survived the judge; 6 rejected for citing numbers not in the ledger or misreading them.

Bull: for the deal

  • Cross-domain agreement is strong: the aggregate audience affinity across music, TV, film and podcasts scores 0.8866, above the shortlist average of 0.8442, with the TV domain led by shared affinity for Ballers at 0.9816.

    t4-m3.value = 0.8866t4-m3.domains[1].shared[0].affinity = 0.9816

  • Mitchell & Ness's brand momentum is above the shortlist average, with a normalised momentum value of 0.5843 against 0.5320 and a z-score of 0.5059 against 0.1917, suggesting the audience affinity is strengthening rather than fading.

    t4-m6.value = 0.5843t4-m6.z = 0.5059

  • Demographic alignment is well above the shortlist average, with a demographic cosine of 0.8139 against 0.0258 and a value of 0.9070 against 0.5129, and both audiences over-index on the 45-to-54 and 55-and-older age buckets, which is a mitigating view of the overlap with the Dodgers' base.

    t4-m4.value = 0.907t4-m4.cosine = 0.8139

  • The composite score of 68.00 sits above the shortlist average of 64.18, with the largest contribution from the two-way affinity component at 28.13 points, making this a stronger-than-typical pairing within the shortlist.

    t4-score.F = 68t4-score.points.m1 = 28.13

  • The audience over-indexes on Los Angeles Dodgers and Mitchell & Ness at near-identical levels in both directions, with two-way audience affinity of 0.8038 for each side, which is essentially the shortlist average, indicating a symmetric fan overlap that supports a co-brand.

    t4-m1.value = 0.8038t4-m1.ratio = 1

    Rejected by the judge: cites m1 Two-way audience affinity "value" = 0.8038 as a strength, but it is below the shortlist average (0.8058)

Bear: against, or diligence first

  • Taste-profile overlap is thin: the shared-tag share is 0.3549 against a shortlist average of 0.2621, but the buyer's top-20 missing share is 0.25 versus a shortlist average of 0.475, so the overlap is not clearly weak; the bear point is that the 26 shared tags are concentrated in hip hop and rap while the buyer-only tags are Latino and Mexican-American, a different cultural footprint.

    TASTE_CLASH
    t4-m2.value = 0.3549t4-m2.sharedCount = 26t4-m2.buyerTop20MissingShare = 0.25

    Rejected by the judge: bear cannot invent a flag: the code rules did not raise TASTE_CLASH

  • The demographic gap is the sharpest bear point: the buyer audience's male affinity is 0.21 while the target's is 0.78, and the cosine similarity of 0.8139 is well above the shortlist average of 0.0258, so the shape matches but the level of male skew does not, and the buyer's 30-34 and 35-44 buckets are negative where the target is also negative.

    DEMOGRAPHIC_MISMATCH
    t4-m4.biggestGap.buyer = 0.21t4-m4.biggestGap.target = 0.78t4-m4.cosine = 0.8139

    Rejected by the judge: bear cannot invent a flag: the code rules did not raise DEMOGRAPHIC_MISMATCH

  • Geographic overlap is uneven: the metro correlation between buyer and target affinity is -0.3407, below the shortlist average of -0.1322, and the code's eight white-space metros include Philadelphia, New York, Chicago, Atlanta, Detroit, Cleveland and Baltimore where the target's relative affinity is negative, so a Los Angeles-anchored co-brand may under-reach the target's core East and Midwest markets.

    NO_GEO_OVERLAP
    t4-m5.correlation = -0.3407t4-m5.whiteSpaceCount = 8t4-m5.whiteSpaceCount = 8

    Rejected by the judge: bear cannot invent a flag: the code rules did not raise NO_GEO_OVERLAP

  • The two-way audience affinity of 0.8038 sits just below the shortlist average of 0.8058, and the audience-level reverse affinity comes entirely from the Dodgers themselves, so the link is driven by a single anchor brand rather than a broader cross-brand audience base.

    AUDIENCE_ONE_SIDED
    t4-m1.value = 0.8038t4-m1.value = 0.8058

    Rejected by the judge: bear cannot invent a flag: the code rules did not raise AUDIENCE_ONE_SIDED

  • Momentum is weaker than the shortlist: the z-score of 0.5059 is above the shortlist average of 0.1917 but the normalised momentum value of 0.5843 is only modestly above 0.5320, and the cross-domain TV and film scores (0.9001 and 0.8638) sit below or near the shortlist averages, so the taste signal is not clearly strengthening outside music. Diligence should confirm the trend holds before committing to a multi-year term.

    FADING
    t4-m6.z = 0.5059t4-m6.value = 0.5843t4-m3.domains[2].score = 0.8638

    Rejected by the judge: bear cannot invent a flag: the code rules did not raise FADING

IC memo

Number check passed: 25 number(s), all in the evidence ledger.Written by claude-haiku-5-5

Mitchell & Ness: ADVANCE

Recommendation. Advance. The composite F of 68.0 clears the verdict threshold of 67, and no red flags were raised, so the verdict rule is met. Mitchell & Ness ranks 1 of 8 on the shortlist, with a composite above the shortlist average of 64.2.

Where the audiences meet

  • Cross-domain agreement is 0.89, above the shortlist average of 0.84. The TV domain is led by shared affinity for Ballers at 0.98.
  • Two-way audience affinity with the Los Angeles Dodgers is 0.80, the largest single contributor to the composite at 28.1 points.
  • Demographic cosine is 0.81 against a shortlist average of 0.03. Both audiences over-index on the 45-to-54 and 55-and-older buckets.
  • Momentum is 0.58 against a shortlist average of 0.53, with a z-score of 0.51 against 0.19. This suggests the audience affinity is strengthening, not fading.

Risks

  • Geographic overlap is weak and negative. The correlation is -0.34, against a shortlist average of -0.13. Eight white-space metros show the Dodgers' audience strong but Mitchell & Ness weaker, including Atlanta, Detroit, Cleveland and Baltimore.
  • Gender is the widest demographic gap. The audience affinity for male buyers is 0.21 against 0.78 for the target.
  • Ownership is "part of other," with Fanatics as ultimate parent. Any deal may need Fanatics-level approval and clarity on brand autonomy.
  • The profile lists no shared categories with the Dodgers, so the category fit must be built in the deal, not inferred.

Diligence questions

  • Who holds approval rights at the Fanatics level, and does the parent restrict co-branded product?
  • What is the plan for the eight white-space metros, and is distribution in those markets realistic?
  • How will the collaboration address the male-skewed audience gap without alienating the Dodgers' broader base?
  • Which heritage product lines, licensed from the NBA, MLB, NFL and NHL, could conflict with a Dodgers exclusivity term?
  • What are the pricing and margin constraints across the $35 to $300 range?

Aggregate audience affinities from Qloo, not predictions about individuals. Not investment advice.

Provenance: 26 Qloo calls behind this target

Requests as sent (the API key travels in a header and is never logged). Responses are cached privately on the server.

PurposeEndpointStatusResultSource
/v2/insightsok25 of 25 candidates scoredcache
/v2/insightsok25 profile(s)cache
/v2/insightsok25 recommended podcast(s)cache
/v2/insightsok50 taste tag(s)cache
/v2/insightsok25 recommended artist(s)cache
/v2/insightsok25 recommended movie(s)cache
/v2/insightsok25 recommended tv_show(s)cache
/v2/insightsokdemographics for 9 of 9 entitiescache
/v2/insightsok7800 heatmap cell(s) in United Statescache
/v2/trendingok47 trend point(s)live 461 ms
/v2/trendingok47 trend point(s)live 462 ms
/v2/trendingok47 trend point(s)live 462 ms
/v2/trendingok47 trend point(s)live 462 ms
/v2/trendingok47 trend point(s)live 726 ms
/v2/trendingok47 trend point(s)live 739 ms
/v2/trendingok47 trend point(s)live 740 ms
/v2/trendingok47 trend point(s)live 741 ms
/v2/trendingok47 trend point(s)live 1017 ms
/v2/insightsok1 of 1 candidates scoredcache
/v2/insightsok50 taste tag(s)cache
/v2/insightsok25 of 25 candidates scoredcache
/v2/insightsok25 of 25 candidates scoredcache
/v2/insightsok25 of 25 candidates scoredcache
/v2/insightsok25 of 25 candidates scoredcache
/v2/analysis/compareok0 shared catalogue tag(s)cache
/v2/insightsok4347 heatmap cell(s) in United Statescache
Evidence rows (what bull, bear and the judge see)
[
 {
  "id": "t4-flags",
  "label": "Red flags (code rules)",
  "data": {
   "flags": []
  },
  "shortlistAverages": {}
 },
 {
  "id": "t4-m1",
  "label": "m1 Two-way audience affinity",
  "data": {
   "a": 0.8038394728726235,
   "b": 0.8038394728726235,
   "ratio": 1,
   "value": 0.8038394728726235,
   "reverse": [
    {
     "id": "9B8B279C-B777-4293-8121-B8174970B57D",
     "name": "Los Angeles Dodgers",
     "affinity": 0.8038394728726235
    }
   ],
   "coverage": 1
  },
  "shortlistAverages": {
   "a": 0.8058428397073507,
   "b": 0.8058428397073507,
   "ratio": 1,
   "value": 0.8058428397073506
  }
 },
 {
  "id": "t4-m2",
  "label": "m2 Taste-profile overlap",
  "data": {
   "value": 0.3549415515409138,
   "shared": [
    {
     "id": "urn:tag:genre:music:hip_hop",
     "name": "Hip Hop",
     "subtype": "urn:tag:genre:music"
    },
    {
     "id": "urn:tag:genre:place:restaurant:american",
     "name": "American",
     "subtype": "urn:tag:genre:place"
    },
    {
     "id": "urn:tag:genre:music:rap",
     "name": "rap",
     "subtype": "urn:tag:genre:music"
    },
    {
     "id": "urn:tag:keyword:media:african_american",
     "name": "african american",
     "subtype": "urn:tag:keyword:media"
    },
    {
     "id": "urn:tag:keyword:media:friend",
     "name": "friend",
     "subtype": "urn:tag:keyword:media"
    },
    {
     "id": "urn:tag:keyword:media:family_relationships",
     "name": "family relationships",
     "subtype": "urn:tag:keyword:media"
    },
    {
     "id": "urn:tag:keyword:media:american_football",
     "name": "american football",
     "subtype": "urn:tag:keyword:media"
    },
    {
     "id": "urn:tag:genre:music:rhythm_blues",
     "name": "rhythm & blues",
     "subtype": "urn:tag:genre:music"
    }
   ],
   "coverage": 1,
   "buyerOnly": [
    {
     "id": "urn:tag:specialty_dish:place:tortillas",
     "name": "Tortillas",
     "subtype": "urn:tag:specialty_dish:place"
    },
    {
     "id": "urn:tag:keyword:media:mexican_american",
     "name": "mexican american",
     "subtype": "urn:tag:keyword:media"
    },
    {
     "id": "urn:tag:keyword:media:latino",
     "name": "latino",
     "subtype": "urn:tag:keyword:media"
    },
    {
     "id": "urn:tag:keyword:media:female_protagonist",
     "name": "female protagonist",
     "subtype": "urn:tag:keyword:media"
    },
    {
     "id": "urn:tag:specialty_dish:place:guacamole_chips",
     "name": "Guacamole Chips",
     "subtype": "urn:tag:specialty_dish:place"
    }
   ],
   "targetOnly": [
    {
     "id": "urn:tag:specialty_dish:place:apple_strudel",
     "name": "Apple Strudel",
     "subtype": "urn:tag:specialty_dish:place"
    },
    {
     "id": "urn:tag:keyword:media:hip_hop",
     "name": "hip hop",
     "subtype": "urn:tag:keyword:media"
    },
    {
     "id": "urn:tag:keyword:media:rapper",
     "name": "rapper",
     "subtype": "urn:tag:keyword:media"
    },
    {
     "id": "urn:tag:keyword:media:african_american_protagonist",
     "name": "african american protagonist",
     "subtype": "urn:tag:keyword:media"
    },
    {
     "id": "urn:tag:genre:music:gangsta_rap",
     "name": "Gangsta Rap",
     "subtype": "urn:tag:genre:music"
    }
   ],
   "unionCount": 74,
   "sharedCount": 26,
   "buyerTop20MissingShare": 0.25
  },
  "shortlistAverages": {
   "value": 0.26208447790247186,
   "sharedCount": 21.75,
   "buyerTop20MissingShare": 0.475
  }
 },
 {
  "id": "t4-m3",
  "label": "m3 Cross-domain agreement",
  "data": {
   "value": 0.8866302516845402,
   "domains": [
    {
     "type": "urn:entity:artist",
     "clash": [
      {
       "name": "Swishahouse",
       "affinity": 0.9218230672350116
      },
      {
       "name": "Boosie Badazz",
       "affinity": 0.9230502958646399
      },
      {
       "name": "Yo Gotti",
       "affinity": 0.9251004310096752
      }
     ],
     "label": "Music",
     "score": 0.9446170093456877,
     "shared": [
      {
       "name": "Curren$y",
       "affinity": 0.9752056582680937
      },
      {
       "name": "Cam'ron",
       "affinity": 0.9743325934364184
      },
      {
       "name": "The Notorious B.I.G.",
       "affinity": 0.9736470563359637
      }
     ],
     "expected": 25,
     "returned": 25
    },
    {
     "type": "urn:entity:tv_show",
     "clash": [
      {
       "name": "Arrested Development",
       "affinity": 0.863403391701845
      },
      {
       "name": "It's Always Sunny in Philadelphia",
       "affinity": 0.8679903478711954
      },
      {
       "name": "Running Wilde",
       "affinity": 0.8802486791323324
      }
     ],
     "label": "TV",
     "score": 0.9000948103229647,
     "shared": [
      {
       "name": "Ballers",
       "affinity": 0.9815765001186946
      },
      {
       "name": "Brockmire",
       "affinity": 0.9269457091158994
      },
      {
       "name": "Coach",
       "affinity": 0.9186729312377645
      }
     ],
     "expected": 25,
     "returned": 25
    },
    {
     "type": "urn:entity:movie",
     "clash": [
      {
       "name": "McFarland, USA",
       "affinity": 0.8279293005147611
      },
      {
       "name": "Nowitzki: The Perfect Shot",
       "affinity": 0.8350795938714217
      },
      {
       "name": "Varsity Blues",
       "affinity": 0.835524898183781
      }
     ],
     "label": "Film",
     "score": 0.8637594242064682,
     "shared": [
      {
       "name": "Coach Carter",
       "affinity": 0.9100116433763101
      },
      {
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       "affinity": 0.8895060757462211
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      {
       "name": "More Than a Game",
       "affinity": 0.8881562785475653
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     ],
     "expected": 25,
     "returned": 25
    },
    {
     "type": "urn:entity:podcast",
     "clash": [
      {
       "name": "The YoYoYo Podcast w/Martin & Hooter",
       "affinity": 0.8014847893740942
      },
      {
       "name": "About Last Night",
       "affinity": 0.80877580710832
      },
      {
       "name": "Bertcast",
       "affinity": 0.8102064510793461
      }
     ],
     "label": "Podcasts",
     "score": 0.8380497628630406,
     "shared": [
      {
       "name": "I AM RAPAPORT: STEREO PODCAST",
       "affinity": 0.9100911442436296
      },
      {
       "name": "THIS THAT & THE THIRD WITH GMOODY",
       "affinity": 0.8864622418285203
      },
      {
       "name": "How Neal Feel",
       "affinity": 0.883188695501808
      }
     ],
     "expected": 25,
     "returned": 25
    }
   ],
   "coverage": 1
  },
  "shortlistAverages": {
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   "domains[0].score": 0.8794888506674802,
   "domains[1].score": 0.8836269856142132,
   "domains[2].score": 0.8086589764417401,
   "domains[3].score": 0.804967040700262
  }
 },
 {
  "id": "t4-m4",
  "label": "m4 Demographic alignment",
  "data": {
   "buyer": {
    "male": 0.21,
    "female": -0.21,
    "25_to_29": -0.1,
    "30_to_34": -0.7000000000000001,
    "35_to_44": -0.53,
    "45_to_54": 0.22,
    "55_and_older": 0.33,
    "24_and_younger": 0.36
   },
   "value": 0.9069689035499362,
   "cosine": 0.8139378070998724,
   "target": {
    "male": 0.78,
    "female": -0.78,
    "25_to_29": -0.07,
    "30_to_34": -0.72,
    "35_to_44": -0.51,
    "45_to_54": 0.30000000000000004,
    "55_and_older": 0.12,
    "24_and_younger": 0.18
   },
   "coverage": 1,
   "biggestGap": {
    "buyer": 0.21,
    "bucket": "male",
    "target": 0.78
   }
  },
  "shortlistAverages": {
   "value": 0.5129090961869054,
   "cosine": 0.02581819237381071
  }
 },
 {
  "id": "t4-m5",
  "label": "m5 Geographic footprint",
  "data": {
   "value": 0.32965793511095626,
   "coverage": 1,
   "metroCount": 55,
   "whiteSpace": [
    {
     "lat": 39.9526,
     "lon": -75.1652,
     "buyer": 0.886243619334895,
     "metro": "Philadelphia",
     "target": 0.9371000149712283,
     "buyerRel": -0.0680209463236271,
     "targetRel": -0.017164550687293834
    },
    {
     "lat": 40.7128,
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     "metro": "New York",
     "target": 0.9142626523278358,
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     "targetRel": -0.05149948293531226
    },
    {
     "lat": 41.8781,
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     "metro": "Chicago",
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     "targetRel": -0.06049485012801459
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    {
     "lat": 35.1495,
     "lon": -90.049,
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     "metro": "Memphis",
     "target": 0.7895360551481871,
     "buyerRel": -0.08388905580876516,
     "targetRel": -0.08325011198400756
    },
    {
     "lat": 33.749,
     "lon": -84.388,
     "buyer": 0.9192048906814938,
     "metro": "Atlanta",
     "target": 0.8504476464165849,
     "buyerRel": -0.028202428204356922,
     "targetRel": -0.09695967246926585
    },
    {
     "lat": 42.3314,
     "lon": -83.0458,
     "buyer": 0.8726241648169619,
     "metro": "Detroit",
     "target": 0.8341380496097217,
     "buyerRel": -0.06366034663601261,
     "targetRel": -0.10214646184325282
    },
    {
     "lat": 41.4993,
     "lon": -81.6944,
     "buyer": 0.8662737132965914,
     "metro": "Cleveland",
     "target": 0.8251726110857714,
     "buyerRel": -0.07152915049075081,
     "targetRel": -0.11263025270157079
    },
    {
     "lat": 39.2904,
     "lon": -76.6122,
     "buyer": 0.8511852724968442,
     "metro": "Baltimore",
     "target": 0.7992373284533911,
     "buyerRel": -0.06503757303932489,
     "targetRel": -0.11698551708277793
    }
   ],
   "correlation": -0.3406841297780875,
   "strongholds": [
    {
     "lat": 32.7157,
     "lon": -117.1611,
     "buyer": 0.9991776483152878,
     "metro": "San Diego",
     "target": 0.8377784964040073,
     "buyerRel": 0.03613923205339131,
     "targetRel": -0.1252599198578892
    },
    {
     "lat": 37.3382,
     "lon": -121.8863,
     "buyer": 0.9808622670867017,
     "metro": "San Jose",
     "target": 0.8281579369890179,
     "buyerRel": 0.028624991795488386,
     "targetRel": -0.12407933830219542
    }
   ],
   "whiteSpaceCount": 8,
   "relativeToCohort": true
  },
  "shortlistAverages": {
   "value": 0.43391156033354505,
   "correlation": -0.13217687933290995
  }
 },
 {
  "id": "t4-m6",
  "label": "m6 Momentum",
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   "z": 0.5058569430774096,
   "value": 0.5843094905129016,
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   "coverage": 1,
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   "normalised": true,
   "recentMean": 0.5747936541282261
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  "shortlistAverages": {
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 {
  "id": "t4-profile",
  "label": "Qloo entity profile: Mitchell & Ness",
  "data": {
   "name": "Mitchell & Ness",
   "drivers": [
    {
     "name": "Los Angeles Dodgers",
     "score": 1
    }
   ],
   "ownership": "part_of_other",
   "keyMarkets": [
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    "Canada",
    "United Kingdom",
    "Japan"
   ],
   "popularity": 0.9725381837907477,
   "screenRank": 4,
   "foundedYear": 1904,
   "priceRangeUsd": [
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   "ultimateParent": "Fanatics",
   "forwardAffinity": 0.8038394728726235,
   "competitorBrands": [
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    "Champion",
    "Nike"
   ],
   "sharedCategories": [],
   "knownPartnerships": [
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    "MLB",
    "NFL",
    "NHL"
   ],
   "marketPositioning": "A premium heritage brand offering authentic, high-quality reproduction sports apparel for fans and streetwear enthusiasts."
  },
  "shortlistAverages": {}
 },
 {
  "id": "t4-score",
  "label": "Composite score",
  "data": {
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   "points": {
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  "shortlistAverages": {
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 }
]