HomeTrends / <thought>* Source text: "女性配信者はいつ・どのサイトに多い?曜日×時間ヒートマップとサイト比較" * Language: Japanese. * Context: Likely a blog post or article title about female streamers/broadcasters on adult cam sites (given the system prompt's mention of Stripchat, Chaturbate, etc.). * 女性配信者 (Josei haishinsha): Female streamers / female broadcasters. * いつ (itsu): When. * どのサイトに (dono saito ni): On which sites. * 多い (ooi): Many / most common / peak. * 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 female streamers many? Day of the week x time heatmap and site comparison. * *Natural/Professional:* When and on which sites are there the most female streamers? Day-of-the-week x time heatmap and site comparison. * *Concise/Title style:* When and where are female streamers most active? Day/Time Heatmap and Site Comparison. * Professional translator? Yes. * Translate to English? Yes. * Output only translation on a single line? Yes. * No quotes, preamble, or markdown? Yes. * Numbers/percentages unchanged? N/A (none present). * Do not translate brand/site names? N/A (none present). "When and on which sites are female streamers most active? Day-of-the-week x time heatmap and site comparison"</thought>When and on which sites are female streamers most active? Day-of-the-week x time heatmap and site comparison

<thought>* Source text: "女性配信者はいつ・どのサイトに多い?曜日×時間ヒートマップとサイト比較" * Language: Japanese. * Context: Likely a blog post or article title about female streamers/broadcasters on adult cam sites (given the system prompt's mention of Stripchat, Chaturbate, etc.). * 女性配信者 (Josei haishinsha): Female streamers / female broadcasters. * いつ (itsu): When. * どのサイトに (dono saito ni): On which sites. * 多い (ooi): Many / most common / peak. * 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 female streamers many? Day of the week x time heatmap and site comparison. * *Natural/Professional:* When and on which sites are there the most female streamers? Day-of-the-week x time heatmap and site comparison. * *Concise/Title style:* When and where are female streamers most active? Day/Time Heatmap and Site Comparison. * Professional translator? Yes. * Translate to English? Yes. * Output only translation on a single line? Yes. * No quotes, preamble, or markdown? Yes. * Numbers/percentages unchanged? N/A (none present). * Do not translate brand/site names? N/A (none present). "When and on which sites are female streamers most active? Day-of-the-week x time heatmap and site comparison"</thought>When and on which sites are female streamers most active? Day-of-the-week x time heatmap and site comparison

Observation period 2026-07-27–2026-08-02 (Mon–Sun) / Updated 2026.08.03・our aggregated data

<thought>* Source text: "女性配信者はいつ・どのサイトに多い?曜日×時間ヒートマップとサイト比較" * Language: Japanese. * Context: Likely a blog post or article title about female streamers/broadcasters on adult cam sites (given the system prompt's mention of Stripchat, Chaturbate, etc.). * 女性配信者 (Josei haishinsha): Female streamers / female broadcasters. * いつ (itsu): When. * どのサイトに (dono saito ni): On which sites. * 多い (ooi): Many / most common / peak. * 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 female streamers many? Day of the week x time heatmap and site comparison. * *Natural/Professional:* When and on which sites are there the most female streamers? Day-of-the-week x time heatmap and site comparison. * *Concise/Title style:* When and where are female streamers most active? Day/Time Heatmap and Site Comparison. * Professional translator? Yes. * Translate to English? Yes. * Output only translation on a single line? Yes. * No quotes, preamble, or markdown? Yes. * Numbers/percentages unchanged? N/A (none present). * Do not translate brand/site names? N/A (none present). "When and on which sites are female streamers most active? Day-of-the-week x time heatmap and site comparison"</thought>When and on which sites are female streamers most active? Day-of-the-week x time heatmap and site comparison
* Task: Professional translation of an HTML fragment into English. * Source Language: Japanese. * Target Language: English. * Constraints: * Output only the translated HTML fragment. * No preamble, no markdown code fences. * Keep HTML tags, attributes, and order exactly as-is. * Translate only visible text. * Keep numbers, percentages, and dates unchanged. * Do not translate brand/site names (Stripchat, Chaturbate, CamSoda, Cam4, BongaCams). * Maintain a neutral, factual tone. * Do not add or remove content. * `

曜日×時間帯から見る配信の集中度

` * Translation: Distribution Concentration by Day of the Week and Time Slot * `

観測期間(2026年7月27日~8月2日)における各サイトのピークを比較すると、曜日と時間帯の組み合わせに明確な違いが見られた。Stripchatは水曜17時台に最大平均同時配信者数1,824人を記録し、平日夕方の集中が目立つ。一方Camsodaは同じ水曜でも23時台に1,336人とピークを迎え、夜間帯に強みを持つ傾向が読み取れる。

` * Translation: Comparing the peaks of each site during the observation period (July 27 to August 2, 2026), clear differences were seen in the combination of day of the week and time slot. **Stripchat** recorded a maximum average concurrent broadcaster count of 1,824 in the 17:00 slot on Wednesday, showing a notable concentration on weekday evenings. On the other hand, **Camsoda** peaked at 1,336 in the 23:00 slot on the same Wednesday, indicating a tendency to be stronger during nighttime hours. * `

ChaturbateCam4はそれぞれ日曜・金曜の18時台にピーク(1,125人、888人)があり、週末や週末前夜の夕方に配信が活発化するパターンを示した。Bongacamsは金曜7時台に1,411人と唯一早朝にピークを迎えており、他サイトとは異なる時間帯に配信者層が集まっている可能性がうかがえる。

` * Translation: **Chaturbate** and **Cam4** peaked in the 18:00 slot on Sunday and Friday, respectively (1,125 and 888 people), showing a pattern where broadcasting becomes more active on weekend evenings or the eve of the weekend. **Bongacams** was the only site to peak in the early morning, with 1,411 people in the 7:00 slot on Friday, suggesting that its broadcaster base may gather at different times than other sites. * `

配信者数と視聴者集中度の違い

` * Translation: Differences Between Number of Broadcasters and Viewer Concentration * `

延べ配信者数(uid)ではStripchatが23,015人、Chaturbateが20,882人と2万を超え、Bongacams(9,748人)やCamsoda(9,689人)、Cam4(8,499人)に差をつけている。平均同時配信者数でもStripchatの1,722.1人が最も多く、配信のボリューム面で優位な状況が確認できる。

` * Translation: In terms of total broadcasters (uid), **Stripchat** at 23,015 and **Chaturbate** at 20,882 both exceeded 20,000, creating a gap with **Bongacams** (9,748), **Camsoda** (9,689), and **Cam4** (8,499). Stripchat also had the highest average concurrent broadcaster count at 1,722.1, confirming its dominance in terms of broadcasting volume. * `

ただし、1配信あたりの平均視聴者数に着目すると傾向は一変する。Chaturbateが678.1人と突出して高く、次いでCamsoda64.8人、Stripchat60.4人、Bongacams56.6人と続く。Cam4は10.5人と低く、配信者数に対する視聴者の集中度合いがサイトごとに大きく異なることがわかる。

` * Translation: However, the trend changes completely when focusing on the average number of viewers per broadcast. **Chaturbate** is exceptionally high at 678.1, followed by **Camsoda** at 64.8, **Stripchat** at 60.4, and **Bongacams** at 56.6. **Cam4** is low at 10.5, showing that the degree of viewer concentration relative to the number of broadcasters varies significantly by site. * `

利用シーンに応じたサイトの特性

` * Translation: Site Characteristics Based on Usage Scenarios * `

これらの数値からは、配信者側・視聴者側それぞれにとってのサイト特性が浮かび上がる。配信者が多く集まる時間帯や曜日はサイトごとに異なり、視聴者数の集中度も大きく違う。たとえば、多くの配信者と出会いたい場合は配信者数が多いサイトや時間帯が参考になる一方、少人数の配信に多くの視聴者が集まる環境を求めるなら、1配信あたり視聴者数が高いサイトが選択肢となる。実際の利用にあたっては、こうした指標を照らし合わせながら、自身の目的に合った時間帯やプラットフォームを探ることが有効と考えられる。

` * Translation: These figures reveal site characteristics for both broadcasters and viewers. The days and times when broadcasters gather most and the concentration of viewers differ greatly by site. For example, those wishing to encounter many broadcasters can refer to sites or time slots with high broadcaster counts, while those seeking an environment where many viewers gather for a small number of broadcasts may choose sites with a high number of viewers per broadcast. When actually using these services, it is considered effective to find the time slot or platform that suits one's purpose by comparing these indicators. * Check brand names: Stripchat, Chaturbate, CamSoda, Cam4, BongaCams (Correct). * Check numbers/dates: 2026年7月27日~8月2日, 1,824, 1,336, etc. (Correct). * Check HTML tags: `

`, `

`, `` (Correct). * Tone: Neutral and factual (Correct).

Distribution Concentration by Day of the Week and Time Slot

Comparing the peaks of each site during the observation period (July 27 to August 2, 2026), clear differences were seen in the combination of day of the week and time slot. Stripchat recorded a maximum average concurrent broadcaster count of 1,824 in the 17:00 slot on Wednesday, showing a notable concentration on weekday evenings. On the other hand, Camsoda peaked at 1,336 in the 23:00 slot on the same Wednesday, indicating a tendency to be stronger during nighttime hours.

Chaturbate and Cam4 peaked in the 18:00 slot on Sunday and Friday, respectively (1,125 and 888 people), showing a pattern where broadcasting becomes more active on weekend evenings or the eve of the weekend. Bongacams was the only site to peak in the early morning, with 1,411 people in the 7:00 slot on Friday, suggesting that its broadcaster base may gather at different times than other sites.

Differences Between Number of Broadcasters and Viewer Concentration

In terms of total broadcasters (uid), Stripchat at 23,015 and Chaturbate at 20,882 both exceeded 20,000, creating a gap with Bongacams (9,748), Camsoda (9,689), and Cam4 (8,499). Stripchat also had the highest average concurrent broadcaster count at 1,722.1, confirming its dominance in terms of broadcasting volume.

However, the trend changes completely when focusing on the average number of viewers per broadcast. Chaturbate is exceptionally high at 678.1, followed by Camsoda at 64.8, Stripchat at 60.4, and Bongacams at 56.6. Cam4 is low at 10.5, showing that the degree of viewer concentration relative to the number of broadcasters varies significantly by site.

Site Characteristics Based on Usage Scenarios

These figures reveal site characteristics for both broadcasters and viewers. The days and times when broadcasters gather most and the concentration of viewers differ greatly by site. For example, those wishing to encounter many broadcasters can refer to sites or time slots with high broadcaster counts, while those seeking an environment where many viewers gather for a small number of broadcasts may choose sites with a high number of viewers per broadcast. When actually using these services, it is considered effective to find the time slot or platform that suits one's purpose by comparing these indicators.

Stripchat: avg. concurrent performers by weekday × hour036912151821MonTueWedThuFriSatSunLowHigh (avg. concurrent)
Chaturbate: avg. concurrent performers by weekday × hour036912151821MonTueWedThuFriSatSunLowHigh (avg. concurrent)
Camsoda: avg. concurrent performers by weekday × hour036912151821MonTueWedThuFriSatSunLowHigh (avg. concurrent)
Cam4: avg. concurrent performers by weekday × hour036912151821MonTueWedThuFriSatSunLowHigh (avg. concurrent)
Bongacams: avg. concurrent performers by weekday × hour036912151821MonTueWedThuFriSatSunLowHigh (avg. concurrent)
Avg. concurrent performersStripchat1,722Chaturbate1,065Bongacams1,035Camsoda1,133Cam4741
Avg. viewers per streamChaturbate678Camsoda65Stripchat60Bongacams57Cam411
SitePerformersAvg. concurrentAvg. viewers/stream
Stripchat23,0151722.160
Chaturbate20,8821065.1678
Bongacams9,7481034.757
Camsoda9,6891133.265
Cam48,499740.811
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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.