<thought>* Source text: "男性・カップル・トランス配信者はいつ・どのサイトに多い？曜日×時間ヒートマップとサイト比較" * Target language: English. * Constraints: * Professional translation. * Output only the translation on a single line. * No quotes, no preamble, no markdown. * Keep numbers and percentages unchanged. * Do not translate brand/site names (Stripchat, Chaturbate, CamSoda, Cam4, BongaCams). * 男性 (dansei): Male * カップル (kappuru): Couple * トランス配信者 (toransu haishinsha): Trans broadcasters/streamers * いつ (itsu): When * どのサイトに多い (dono saito ni ooi): Which sites have more/are most popular * 曜日 (youbi): Day of the week * 時間 (jikan): Time * ヒートマップ (hiitomappu): Heatmap * サイト比較 (saito hikaku): Site comparison * *Literal:* When and on which sites are male, couple, and trans broadcasters most numerous? Day of the week x time heatmap and site comparison. * *More natural/professional:* When and on which sites are male, couple, and trans streamers most active? Day-of-the-week x time heatmap and site comparison. * "When and on which sites are male, couple, and trans streamers most active? Day-of-the-week x time heatmap and site comparison" * Single line? Yes. * No quotes? Yes. * No preamble? Yes. * No markdown? Yes. * Numbers/percentages unchanged? N/A (none present). * Brand names preserved? N/A (none present).</thought>When and on which sites are male, couple, and trans streamers most active? Day-of-the-week x time heatmap and site comparison
はじめに
` -> Introduction * `2026年8月24日から30日の1週間における成人向けライブ配信サービスの集計データをもとに、配信者数や視聴者数の傾向を探ります。今回の分析では、サイトごとに配信のピークとなる曜日や時間帯、そしてサイト全体の規模感の違いに注目します。
` * "2026年8月24日から30日の1週間における" -> During the week from August 24 to 30, 2026 * "成人向けライブ配信サービスの集計データをもとに" -> based on aggregated data from adult live streaming services * "配信者数や視聴者数の傾向を探ります" -> we explore trends in the number of broadcasters and viewers. * "今回の分析では、サイトごとに配信のピークとなる曜日や時間帯、そしてサイト全体の規模感の違いに注目します。" -> In this analysis, we focus on the days and time slots when streaming peaks for each site, as well as differences in the overall scale of the sites. * `
配信のピークはサイトによって異なる曜日・時間帯に
` -> Streaming Peaks Occur on Different Days and Time Slots Depending on the Site * `各サイトの平均同時配信者数が最も多かった時間帯を比較すると、意外な分散が見られます。Cam4は日曜7時台に最大の760人を記録し、調査対象のピーク時間帯としては最も高い数値となりました。Stripchatは木曜6時台に536人、Chaturbateは月曜8時台に479人と続きます。またCamsodaは日曜9時台に234人、Bongacamsは土曜5時台に99人と、ピークの集中する曜日・時間帯にはかなりのばらつきがあります。
` * "各サイトの平均同時配信者数が最も多かった時間帯を比較すると、意外な分散が見られます。" -> Comparing the time slots with the highest average concurrent broadcasters for each site reveals an unexpected distribution. * "Cam4は日曜7時台に最大の760人を記録し、調査対象のピーク時間帯としては最も高い数値となりました。" -> Cam4 recorded a maximum of 760 people in the 7 o'clock hour on Sunday, the highest value among the peak time slots surveyed. * "Stripchatは木曜6時台に536人、Chaturbateは月曜8時台に479人と続きます。" -> Stripchat followed with 536 people in the 6 o'clock hour on Thursday, and Chaturbate with 479 people in the 8 o'clock hour on Monday. * "またCamsodaは日曜9時台に234人、Bongacamsは土曜5時台に99人と、ピークの集中する曜日・時間帯にはかなりのばらつきがあります。" -> Additionally, Camsoda had 234 people in the 9 o'clock hour on Sunday and Bongacams had 99 people in the 5 o'clock hour on Saturday, showing significant variation in the days and time slots where peaks are concentrated. * `このデータからは、特定のサイトにおいて週末や平日の早朝にまとまった数の配信が行われている状況が読み取れます。特に週末（土日）の朝方は複数のサイトで高い数値が記録されており、配信を探す時間帯として一定の需要がある可能性を示していると言えるでしょう。
` * "このデータからは、特定のサイトにおいて週末や平日の早朝にまとまった数の配信が行われている状況が読み取れます。" -> This data indicates that a significant number of streams are conducted on specific sites during weekends and early weekday mornings. * "特に週末（土日）の朝方は複数のサイトで高い数値が記録されており、配信を探す時間帯として一定の需要がある可能性を示していると言えるでしょう。" -> In particular, high numbers were recorded across multiple sites on weekend (Saturday and Sunday) mornings, suggesting there may be a certain level of demand for finding streams during these times. * `サイト別に見る規模と視聴環境の違い
` -> Differences in Scale and Viewing Environment by Site * `延べ配信者数と平均同時配信者数で比較すると、Cam4が期間中の延べ配信者数18,594人、平均同時配信者636.4人といずれも最多です。2番手のChaturbateは延べ配信者数12,313人・平均同時配信者433.1人、Stripchatが延べ配信者数7,849人・平均同時配信者439.7人と続きます。CamsodaやBongacamsはこれらのサイトと比較すると一回り小規模です。
` * "延べ配信者数と平均同時配信者数で比較すると" -> Comparing the total number of broadcasters and the average concurrent broadcasters, * "Cam4が期間中の延べ配信者数18,594人、平均同時配信者636.4人といずれも最多です。" -> Cam4 had the highest in both, with 18,594 total broadcasters and 636.4 average concurrent broadcasters during the period. * "2番手のChaturbateは延べ配信者数12,313人・平均同時配信者433.1人、Stripchatが延べ配信者数7,849人・平均同時配信者439.7人と続きます。" -> Chaturbate followed in second place with 12,313 total broadcasters and 433.1 average concurrent broadcasters, and Stripchat with 7,849 total broadcasters and 439.7 average concurrent broadcasters. * "CamsodaやBongacamsはこれらのサイトと比較すると一回り小規模です。" -> Camsoda and Bongacams are smaller in scale compared to these sites. * `一方、1配信あたりの平均視聴者数ではChaturbateが338.3人と突出して高く、次いでBongacamsが303人という結果でした。この2サイトは平均同時配信者数こそ中位〜下位ですが、配信者が比較的多くの視聴者を集めやすい構造なのかもしれません。対照的に、平均同時配信者数の多いCam4は1配信あたり平均視聴者が8.2人とかなり低い水準であり、多数の配信が並行して行われ、視聴者が細かく分散する傾向がうかがえます。
` * "一方、1配信あたりの平均視聴者数ではChaturbateが338.3人と突出して高く、次いでBongacamsが303人という結果でした。" -> On the other hand, Chaturbate was exceptionally high with 338.3 average viewers per stream, followed by Bongacams with 303 viewers. * "この2サイトは平均同時配信者数こそ中位〜下位ですが、配信者が比較的多くの視聴者を集めやすい構造なのかもしれません。" -> While these two sites rank in the middle to lower range for average concurrent broadcasters, they may have a structure that makes it easier for broadcasters to attract a relatively large number of viewers. * "対照的に、平均同時配信者数の多いCam4は1配信あたり平均視聴者が8.2人とかなり低い水準であり、多数の配信が並行して行われ、視聴者が細かく分散する傾向がうかがえます。" -> In contrast, Cam4, which has a high number of average concurrent broadcasters, had a significantly lower average of 8.2 viewers per stream, suggesting a tendency for many streams to occur simultaneously and for viewers to be finely dispersed. * `まとめと見方のヒント
` -> Summary and Tips for Interpretation * `今回の集計期間においては、配信の規模やピーク時間帯はサイトごとに明確な個性がありました。配信者数が多い時間帯に大きな視聴者数がつくとは限らず、特にChaturbateやBongacamsのように配信者数が少なくても1配信あたりの視聴者が多いサイトは、ユーザーの回遊の仕方が異なる可能性を感じさせます。どの時間帯にどのサイトを利用するかは、単純な配信者数の多さだけでなく、自分が求める視聴スタイルに合わせて検討するのが良さそうです。
` * "今回の集計期間においては、配信の規模やピーク時間帯はサイトごとに明確な個性がありました。" -> During this aggregation period, the scale of streaming and peak time slots showed distinct characteristics for each site. * "配信者数が多い時間帯に大きな視聴者数がつくとは限らず、特にChaturbateやBongacamsのように配信者数が少なくても1配信あたりの視聴者が多いサイトは、ユーザーの回遊の仕方が異なる可能性を感じさせます。" -> A high number of broadcasters during a certain time slot does not necessarily result in a large number of viewers; in particular, sites like Chaturbate and Bongacams, where the number of broadcasters is low but viewers per stream are high, suggest that user navigation patterns may differ. * "どの時間帯にどのサイトを利用するかは、単純な配信者数の多さだけでなく、自分が求める視聴スタイルに合わせて検討するのが良さそうです。" -> When deciding which site to use at what time, it seems best to consider not only the simple number of broadcasters but also the viewing style you desire. * HTML tags preserved? Yes. * Attributes preserved? Yes. * Numbers/Dates unchanged? Yes (2026年8月24日から30日 -> August 24 to 30, 2026). * Brand names unchanged? Yes (Stripchat, Chaturbate, CamSoda, Cam4, BongaCams). * No preamble/markdown? Yes. * Neutral tone? Yes.Introduction
Based on aggregated data from adult live streaming services during the week from August 24 to 30, 2026, we explore trends in the number of broadcasters and viewers. In this analysis, we focus on the days and time slots when streaming peaks for each site, as well as differences in the overall scale of the sites.
Streaming Peaks Occur on Different Days and Time Slots Depending on the Site
Comparing the time slots with the highest average concurrent broadcasters for each site reveals an unexpected distribution. Cam4 recorded a maximum of 760 people in the 7 o'clock hour on Sunday, the highest value among the peak time slots surveyed. Stripchat followed with 536 people in the 6 o'clock hour on Thursday, and Chaturbate with 479 people in the 8 o'clock hour on Monday. Additionally, Camsoda had 234 people in the 9 o'clock hour on Sunday and Bongacams had 99 people in the 5 o'clock hour on Saturday, showing significant variation in the days and time slots where peaks are concentrated.
This data indicates that a significant number of streams are conducted on specific sites during weekends and early weekday mornings. In particular, high numbers were recorded across multiple sites on weekend (Saturday and Sunday) mornings, suggesting there may be a certain level of demand for finding streams during these times.
Differences in Scale and Viewing Environment by Site
Comparing the total number of broadcasters and the average concurrent broadcasters, Cam4 had the highest in both, with 18,594 total broadcasters and 636.4 average concurrent broadcasters during the period. Chaturbate followed in second place with 12,313 total broadcasters and 433.1 average concurrent broadcasters, and Stripchat with 7,849 total broadcasters and 439.7 average concurrent broadcasters. Camsoda and Bongacams are smaller in scale compared to these sites.
On the other hand, Chaturbate was exceptionally high with 338.3 average viewers per stream, followed by Bongacams with 303 viewers. While these two sites rank in the middle to lower range for average concurrent broadcasters, they may have a structure that makes it easier for broadcasters to attract a relatively large number of viewers. In contrast, Cam4, which has a high number of average concurrent broadcasters, had a significantly lower average of 8.2 viewers per stream, suggesting a tendency for many streams to occur simultaneously and for viewers to be finely dispersed.
Summary and Tips for Interpretation
During this aggregation period,
| Site | Performers | Avg. concurrent | Avg. viewers/stream |
|---|---|---|---|
| Cam4 | 18,594 | 636.6 | 8 |
| Chaturbate | 12,313 | 433.4 | 338 |
| Stripchat | 7,848 | 439.7 | 136 |
| Camsoda | 1,705 | 154.1 | 50 |
| Bongacams | 935 | 61 | 303 |
These figures are aggregated hourly by our site from publicly available information on each streaming site and may differ from the actual values reported by each service.