東京ヴェルディ - Deep Researchプロンプト
以下のプロンプトをDeep Researchに投入してください（--- で囲まれた部分）。
あなたはJリーグの財務アナリストです。東京ヴェルディの各年度の営業利益増減について、以下のJSONデータを完成させてください。
決算期に関する注意
東京ヴェルディは 1月決算（会計年度：2月1日〜翌年1月31日）です。
| JSONの年度 | 決算期間 | 対応するシーズン |
|---|---|---|
| 2024 | 2024年2月〜2025年1月 | 2024シーズン |
| 2023 | 2023年2月〜2024年1月 | 2023シーズン |
JSONの「year: 2024」のデータについてコメントを書く場合、2024年のJリーグシーズンの出来事を調べてください。
参考データ（年度別）
以下はコメント作成時の参考情報です。入場者数の増減理由などに活用してください。
| 年度 | 所属 | 順位 | 勝ち点 | 年間総入場者数 | ホーム試合数 | リーグ戦平均入場者数 | 客単価(円) |
|---|---|---|---|---|---|---|---|
| 2011 | J2 | 5 | 59 | 108,482 | 19 | 5,710 | 1,678 |
| 2012 | J2 | 7 | 66 | 112,158 | 21 | 5,341 | 1,516 |
| 2013 | J2 | 13 | 56 | 133,201 | 21 | 6,343 | 1,532 |
| 2014 | J2 | 20 | 42 | 114,023 | 21 | 5,430 | 1,640 |
| 2015 | J2 | 8 | 58 | 118,751 | 21 | 5,655 | 1,718 |
| 2016 | J2 | 18 | 43 | 113,472 | 21 | 5,402 | 1,445 |
| 2017 | J2 | 5 | 70 | 130,334 | 21 | 6,206 | 1,427 |
| 2018 | J2 | 6 | 71 | 124,654 | 21 | 5,936 | 1,428 |
| 2019 | J2 | 13 | 55 | 112,789 | 21 | 5,371 | 1,569 |
| 2020 | J2 | 12 | 54 | 51,015 | 21 | 2,429 | 1,764 |
| 2021 | J2 | 12 | 58 | 68,171 | 21 | 3,246 | 1,555 |
| 2022 | J2 | 9 | 61 | 104,054 | 21 | 4,955 | 1,480 |
| 2023 | J2 | 3 | 75 | 246,030 | 23 | 7,982 | 1,488 |
| 2024 | J1 | 6 | 56 | 404,698 | 20 | 20,976 | 1,794 |
項目名称（日本語）
メイン項目
| JSONキー | 日本語名称 | 説明 |
|---|---|---|
sponsor | スポンサー収入 | 企業スポンサーからの収入 |
ticket | 入場料収入 | チケット販売による収入 |
distribution | Jリーグ配分金 | Jリーグからの配分金・分配金 |
merchandise | 物販損益 | グッズ販売の収入から物販関連費を引いた損益 |
other | その他損益 | 上記以外の収入・費用の差額 |
personnel | 人件費 | チーム人件費＋移籍関連費用 |
sga | 販売費および一般管理費 | 販管費 |
その他損益の内訳（other.revenue / other.expense）
収入項目 (revenue):
| item | 日本語名称 |
|---|---|
academy_revenue | アカデミー関連収入 |
women_revenue | 女子チーム関連収入 |
transfer_income | 移籍補償金等収入 |
transfer_overseas | 国外クラブからの移籍収入 |
transfer_domestic | 国内クラブからの移籍収入 |
other_revenue | その他収入 |
費用項目 (expense):
| item | 日本語名称 |
|---|---|
match_expenses | 試合関連経費 |
team_operations | トップチーム運営経費 |
academy_expenses | アカデミー運営経費 |
women_expenses | 女子チーム運営経費 |
other_cogs | その他売上原価 |
business_expenses | 事業費 |
データ構造
各項目は items 配列を持ち、複数の説明と情報源を格納できます：
{
"value": -115,
"items": [
{ "text": "主要スポンサーの契約終了により減収", "source": "https://..." },
{ "text": "新規スポンサー獲得の遅れ", "source": "https://..." }
]
}
その他損益（profitMetrics.other）の構造
{
"headline": { "items": [] }, // 内訳を踏まえた総括コメント
"total": 123, // 集計値（変更不可）
"revenue": [ // その他収入の内訳
{ "item": "transfer_income", "value": 100, "items": [] }
],
"expense": [ // その他費用の内訳（増加=マイナス影響）
{ "item": "match_expenses", "value": 50, "items": [] }
]
}
前提条件
- 単位: JSONの
valueの単位は「百万円」です。 - 出力形式: 完成したJSONはチャット内にテキストとして表示してください。
- 情報源の優先度:
- 一次ソース（クラブ公式、Jリーグ公式、決算資料）を優先
- 一次ソースが見つからない場合、信頼できる二次ソース（スポーツ新聞の報道等）を使用可
- どうしても情報源が見つからない項目は
itemsを空のままにする
- headline（年度総括）の文字数: 20〜50文字程度（各項目より短めでOK）
指示
- 各年度の
valueやtotalは計算済みの実データです。変更しないでください。 - 各項目の
items配列に、説明と情報源を追加してください：- 1つの要因につき1エントリ（複数の要因がある場合は複数エントリ）
- 各エントリ:
{ "text": "理由説明（50〜100文字）", "source": "情報源URL" }
- 年度の
headline.itemsにその年度を象徴するコメントを追加してください。 profitMetrics.other.headline.itemsには、その他損益の内訳を踏まえた総括コメントを記入してください。notesに補足情報を箇条書きで追加してください。
入力データ（完成させてください）
{
"clubId": "verdy",
"clubName": "東京ヴェルディ",
"years": [
{
"year": 2011,
"headline": {
"items": []
},
"details": {
"revenue": {
"sponsor": {
"value": 243,
"items": []
},
"ticket": {
"value": 61,
"items": []
},
"distribution": {
"value": -15,
"items": []
}
},
"profitMetrics": {
"merchandise": {
"value": 0,
"items": []
},
"other": {
"headline": {
"items": []
},
"total": 159,
"revenue": [
{
"item": "academy_revenue",
"value": 85,
"items": []
},
{
"item": "other_revenue",
"value": -17,
"items": []
}
],
"expense": [
{
"item": "match_expenses",
"value": 141,
"items": []
},
{
"item": "team_operations",
"value": 256,
"items": []
},
{
"item": "academy_expenses",
"value": 38,
"items": []
},
{
"item": "women_expenses",
"value": 19,
"items": []
},
{
"item": "business_expenses",
"value": -545,
"items": []
}
]
}
},
"expense": {
"personnel": {
"value": -47,
"items": []
},
"sga": {
"value": 126,
"items": []
}
}
},
"notes": []
},
{
"year": 2012,
"headline": {
"items": []
},
"details": {
"revenue": {
"sponsor": {
"value": 26,
"items": []
},
"ticket": {
"value": -12,
"items": []
},
"distribution": {
"value": -2,
"items": []
}
},
"profitMetrics": {
"merchandise": {
"value": 0,
"items": []
},
"other": {
"headline": {
"items": []
},
"total": 175,
"revenue": [
{
"item": "academy_revenue",
"value": 49,
"items": []
},
{
"item": "other_revenue",
"value": 334,
"items": []
}
],
"expense": [
{
"item": "match_expenses",
"value": 143,
"items": []
},
{
"item": "team_operations",
"value": 34,
"items": []
},
{
"item": "academy_expenses",
"value": 21,
"items": []
},
{
"item": "women_expenses",
"value": 10,
"items": []
}
]
}
},
"expense": {
"personnel": {
"value": 69,
"items": []
},
"sga": {
"value": 117,
"items": []
}
}
},
"notes": []
},
{
"year": 2013,
"headline": {
"items": []
},
"details": {
"revenue": {
"sponsor": {
"value": -14,
"items": []
},
"ticket": {
"value": 34,
"items": []
},
"distribution": {
"value": 2,
"items": []
}
},
"profitMetrics": {
"merchandise": {
"value": 0,
"items": []
},
"other": {
"headline": {
"items": []
},
"total": -125,
"revenue": [
{
"item": "academy_revenue",
"value": 40,
"items": []
},
{
"item": "other_revenue",
"value": -296,
"items": []
}
],
"expense": [
{
"item": "match_expenses",
"value": -140,
"items": []
},
{
"item": "team_operations",
"value": -30,
"items": []
},
{
"item": "academy_expenses",
"value": 32,
"items": []
},
{
"item": "women_expenses",
"value": 7,
"items": []
}
]
}
},
"expense": {
"personnel": {
"value": -12,
"items": []
},
"sga": {
"value": -17,
"items": []
}
}
},
"notes": []
},
{
"year": 2014,
"headline": {
"items": []
},
"details": {
"revenue": {
"sponsor": {
"value": 27,
"items": []
},
"ticket": {
"value": -17,
"items": []
},
"distribution": {
"value": 3,
"items": []
}
},
"profitMetrics": {
"merchandise": {
"value": 0,
"items": []
},
"other": {
"headline": {
"items": []
},
"total": 19,
"revenue": [
{
"item": "other_revenue",
"value": -29,
"items": []
}
],
"expense": [
{
"item": "match_expenses",
"value": -20,
"items": []
},
{
"item": "team_operations",
"value": -36,
"items": []
},
{
"item": "academy_expenses",
"value": 6,
"items": []
},
{
"item": "women_expenses",
"value": 2,
"items": []
}
]
}
},
"expense": {
"personnel": {
"value": -11,
"items": []
},
"sga": {
"value": -28,
"items": []
}
}
},
"notes": []
},
{
"year": 2015,
"headline": {
"items": []
},
"details": {
"revenue": {
"sponsor": {
"value": 3,
"items": []
},
"ticket": {
"value": 17,
"items": []
},
"distribution": {
"value": -10,
"items": []
}
},
"profitMetrics": {
"merchandise": {
"value": 0,
"items": []
},
"other": {
"headline": {
"items": []
},
"total": 107,
"revenue": [
{
"item": "academy_revenue",
"value": 8,
"items": []
},
{
"item": "other_revenue",
"value": 73,
"items": []
}
],
"expense": [
{
"item": "match_expenses",
"value": -27,
"items": []
},
{
"item": "team_operations",
"value": 16,
"items": []
},
{
"item": "academy_expenses",
"value": -8,
"items": []
},
{
"item": "women_expenses",
"value": -7,
"items": []
}
]
}
},
"expense": {
"personnel": {
"value": 31,
"items": []
},
"sga": {
"value": 78,
"items": []
}
}
},
"notes": []
},
{
"year": 2016,
"headline": {
"items": []
},
"details": {
"revenue": {
"sponsor": {
"value": 103,
"items": []
},
"ticket": {
"value": -40,
"items": []
},
"distribution": {
"value": -2,
"items": []
}
},
"profitMetrics": {
"merchandise": {
"value": 7,
"items": []
},
"other": {
"headline": {
"items": []
},
"total": -49,
"revenue": [
{
"item": "academy_revenue",
"value": 22,
"items": []
},
{
"item": "other_revenue",
"value": -49,
"items": []
}
],
"expense": [
{
"item": "match_expenses",
"value": 3,
"items": []
},
{
"item": "team_operations",
"value": 22,
"items": []
},
{
"item": "academy_expenses",
"value": -4,
"items": []
},
{
"item": "women_expenses",
"value": 3,
"items": []
}
]
}
},
"expense": {
"personnel": {
"value": 59,
"items": []
},
"sga": {
"value": -2,
"items": []
}
}
},
"notes": []
},
{
"year": 2017,
"headline": {
"items": []
},
"details": {
"revenue": {
"sponsor": {
"value": 112,
"items": []
},
"ticket": {
"value": 22,
"items": []
},
"distribution": {
"value": 67,
"items": []
}
},
"profitMetrics": {
"merchandise": {
"value": 9,
"items": []
},
"other": {
"headline": {
"items": []
},
"total": 4,
"revenue": [
{
"item": "academy_revenue",
"value": -15,
"items": []
},
{
"item": "other_revenue",
"value": 37,
"items": []
}
],
"expense": [
{
"item": "match_expenses",
"value": 4,
"items": []
},
{
"item": "team_operations",
"value": 18,
"items": []
},
{
"item": "academy_expenses",
"value": -5,
"items": []
}
]
}
},
"expense": {
"personnel": {
"value": 136,
"items": []
},
"sga": {
"value": 50,
"items": []
}
}
},
"notes": []
},
{
"year": 2018,
"headline": {
"items": []
},
"details": {
"revenue": {
"sponsor": {
"value": 68,
"items": []
},
"ticket": {
"value": -8,
"items": []
},
"distribution": {
"value": 5,
"items": []
}
},
"profitMetrics": {
"merchandise": {
"value": 11,
"items": []
},
"other": {
"headline": {
"items": []
},
"total": 96,
"revenue": [
{
"item": "academy_revenue",
"value": -15,
"items": []
},
{
"item": "other_revenue",
"value": 173,
"items": []
}
],
"expense": [
{
"item": "match_expenses",
"value": 2,
"items": []
},
{
"item": "team_operations",
"value": 35,
"items": []
},
{
"item": "academy_expenses",
"value": 10,
"items": []
},
{
"item": "women_expenses",
"value": 14,
"items": []
}
]
}
},
"expense": {
"personnel": {
"value": 161,
"items": []
},
"sga": {
"value": 9,
"items": []
}
}
},
"notes": []
},
{
"year": 2019,
"headline": {
"items": []
},
"details": {
"revenue": {
"sponsor": {
"value": 64,
"items": []
},
"ticket": {
"value": -1,
"items": []
},
"distribution": {
"value": -8,
"items": []
}
},
"profitMetrics": {
"merchandise": {
"value": 8,
"items": []
},
"other": {
"headline": {
"items": []
},
"total": -13,
"revenue": [
{
"item": "academy_revenue",
"value": 14,
"items": []
},
{
"item": "other_revenue",
"value": -23,
"items": []
}
],
"expense": [
{
"item": "match_expenses",
"value": -2,
"items": []
},
{
"item": "team_operations",
"value": 10,
"items": []
},
{
"item": "academy_expenses",
"value": -15,
"items": []
},
{
"item": "women_expenses",
"value": 11,
"items": []
}
]
}
},
"expense": {
"personnel": {
"value": -20,
"items": []
},
"sga": {
"value": 68,
"items": []
}
}
},
"notes": []
},
{
"year": 2020,
"headline": {
"items": []
},
"details": {
"revenue": {
"sponsor": {
"value": -239,
"items": []
},
"ticket": {
"value": -87,
"items": []
},
"distribution": {
"value": 5,
"items": []
}
},
"profitMetrics": {
"merchandise": {
"value": -34,
"items": []
},
"other": {
"headline": {
"items": []
},
"total": -145,
"revenue": [
{
"item": "academy_revenue",
"value": -50,
"items": []
},
{
"item": "other_revenue",
"value": -103,
"items": []
}
],
"expense": [
{
"item": "match_expenses",
"value": -1,
"items": []
},
{
"item": "team_operations",
"value": 1,
"items": []
},
{
"item": "academy_expenses",
"value": -22,
"items": []
},
{
"item": "women_expenses",
"value": 15,
"items": []
}
]
}
},
"expense": {
"personnel": {
"value": -53,
"items": []
},
"sga": {
"value": 71,
"items": []
}
}
},
"notes": []
},
{
"year": 2021,
"headline": {
"items": []
},
"details": {
"revenue": {
"sponsor": {
"value": 270,
"items": []
},
"ticket": {
"value": 16,
"items": []
},
"distribution": {
"value": 4,
"items": []
}
},
"profitMetrics": {
"merchandise": {
"value": 31,
"items": []
},
"other": {
"headline": {
"items": []
},
"total": 13,
"revenue": [
{
"item": "academy_revenue",
"value": 57,
"items": []
},
{
"item": "other_revenue",
"value": -87,
"items": []
}
],
"expense": [
{
"item": "match_expenses",
"value": 1,
"items": []
},
{
"item": "team_operations",
"value": -46,
"items": []
},
{
"item": "academy_expenses",
"value": 12,
"items": []
},
{
"item": "women_expenses",
"value": -11,
"items": []
}
]
}
},
"expense": {
"personnel": {
"value": 18,
"items": []
},
"sga": {
"value": -91,
"items": []
}
}
},
"notes": []
},
{
"year": 2022,
"headline": {
"items": []
},
"details": {
"revenue": {
"sponsor": {
"value": -382,
"items": []
},
"ticket": {
"value": 48,
"items": []
},
"distribution": {
"value": 7,
"items": []
}
},
"profitMetrics": {
"merchandise": {
"value": 5,
"items": []
},
"other": {
"headline": {
"items": []
},
"total": 278,
"revenue": [
{
"item": "academy_revenue",
"value": -1,
"items": []
},
{
"item": "women_revenue",
"value": 374,
"items": []
},
{
"item": "other_revenue",
"value": 306,
"items": []
}
],
"expense": [
{
"item": "match_expenses",
"value": 26,
"items": []
},
{
"item": "team_operations",
"value": 36,
"items": []
},
{
"item": "academy_expenses",
"value": 140,
"items": []
},
{
"item": "women_expenses",
"value": 182,
"items": []
},
{
"item": "other_cogs",
"value": 17,
"items": []
}
]
}
},
"expense": {
"personnel": {
"value": -188,
"items": []
},
"sga": {
"value": 25,
"items": []
}
}
},
"notes": []
},
{
"year": 2023,
"headline": {
"items": []
},
"details": {
"revenue": {
"sponsor": {
"value": -217,
"items": []
},
"ticket": {
"value": 212,
"items": []
},
"distribution": {
"value": -32,
"items": []
}
},
"profitMetrics": {
"merchandise": {
"value": -11,
"items": []
},
"other": {
"headline": {
"items": []
},
"total": 580,
"revenue": [
{
"item": "academy_revenue",
"value": 20,
"items": []
},
{
"item": "women_revenue",
"value": -31,
"items": []
},
{
"item": "other_revenue",
"value": 722,
"items": []
}
],
"expense": [
{
"item": "match_expenses",
"value": 81,
"items": []
},
{
"item": "team_operations",
"value": 16,
"items": []
},
{
"item": "academy_expenses",
"value": 25,
"items": []
},
{
"item": "women_expenses",
"value": 7,
"items": []
},
{
"item": "other_cogs",
"value": 2,
"items": []
}
]
}
},
"expense": {
"personnel": {
"value": 288,
"items": []
},
"sga": {
"value": 241,
"items": []
}
}
},
"notes": []
},
{
"year": 2024,
"headline": {
"items": []
},
"details": {
"revenue": {
"sponsor": {
"value": 530,
"items": []
},
"ticket": {
"value": 360,
"items": []
},
"distribution": {
"value": 180,
"items": []
}
},
"profitMetrics": {
"merchandise": {
"value": 41,
"items": []
},
"other": {
"headline": {
"items": []
},
"total": -586,
"revenue": [
{
"item": "academy_revenue",
"value": 31,
"items": []
},
{
"item": "women_revenue",
"value": 95,
"items": []
},
{
"item": "transfer_income",
"value": 78,
"items": []
},
{
"item": "transfer_overseas",
"value": 2,
"items": []
},
{
"item": "transfer_domestic",
"value": 76,
"items": []
},
{
"item": "other_revenue",
"value": -586,
"items": []
}
],
"expense": [
{
"item": "match_expenses",
"value": 44,
"items": []
},
{
"item": "team_operations",
"value": 25,
"items": []
},
{
"item": "academy_expenses",
"value": 37,
"items": []
},
{
"item": "women_expenses",
"value": 99,
"items": []
}
]
}
},
"expense": {
"personnel": {
"value": 235,
"items": []
},
"sga": {
"value": 247,
"items": []
}
}
},
"notes": []
}
]
}
期待する出力形式
各項目の items 配列に { "text": "...", "source": "..." } を追加した完全なJSONを返してください。
使用方法
- 上記プロンプト（
---で囲まれた部分）をDeep Researchに投入 - 返ってきたJSONを
data/comments/verdy.jsonに保存 - 必要に応じて内容を確認・修正
注意事項
value/totalの値は変更しないでください（計算済みの実データ）- 情報源は可能な限り一次ソース（クラブ公式、Jリーグ公式、決算資料）を優先
- 推測でなく、確認できた事実のみ記載