<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" * 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). * 女性配信者 (Josei haishinsha): Female streamers / Female broadcasters. * いつ (itsu): When. * どのサイトに多い (dono saito ni ooi): Which sites have more [of them] / Which sites are they most frequent on. * 曜日×時間ヒートマップ (youbi x jikan hiitomappu): Day of the week x Time heatmap. * サイト比較 (saito hikaku): Site comparison. * *Literal:* When and on which sites are female streamers numerous? Day of the week x time heatmap and site comparison. * *More natural/professional:* When and on which sites are female streamers most active? 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. * "When and on which sites are female streamers most active? Day-of-the-week x time heatmap and site comparison" * Single line? Yes. * No quotes/preamble/markdown? Yes. * Numbers/percentages unchanged? N/A (none present). * Brand names preserved? N/A (none present).</thought>When and on which sites are female streamers most active? Day-of-the-week x time heatmap and site comparison

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`. All preserved. * Check brands: Stripchat, Chaturbate, Camsoda, Bongacams, Cam4. All preserved. * Check numbers/dates: 2026年7月13日から19日 -> July 13 to 19, 2026. 1810, 1131, 1350, 1405, 842, 22717, 20803, 1713.1, 521.7, 8478, 735.7, 10.5, 9651, 9726, 63.4, 53.5. All preserved. * Tone: Neutral and factual. * "17時台" -> "the 17:00 hour" or "the 5 PM hour". I'll use "the 17:00 hour" to stay neutral and precise. * "延べ配信者数" -> "total number of streamers" (cumulative). * "平均同時配信者数" -> "average number of simultaneous streamers". * "1配信あたり平均視聴者数" -> "average number of viewers per stream".

Based on data from multiple live streaming sites for the week of July 13 to 19, 2026, we compared the streaming peaks of female streamers by day of the week and time slot, as well as the scale between sites. The time slots and days when streaming is concentrated vary by site, and characteristics can be seen in how viewers gather.

Streaming Peak Times and Days by Site

The days and time slots when the average number of simultaneous streamers is highest for each site are as follows. Stripchat peaks on Wednesday in the 17:00 hour with 1810 people, and Chaturbate on Friday in the 17:00 hour with 1131 people, showing a noticeable peak on weekday evenings. On the other hand, Camsoda peaks in the late-night slot on Thursday at 1:00 with 1350 people, Bongacams in the early morning on Saturday at 6:00 with 1405 people, and Cam4 concentrates in the late-night slot on Friday at 22:00 with 842 people. In this way, the time slots when streaming is most active vary significantly by site, suggesting that they may reflect differences in viewers' daily rhythms and regional characteristics.

Balance Between Number of Streamers and Number of Viewers

Looking at the overall scale of the sites, the total number of streamers is highest for Stripchat at 22717, followed by Chaturbate at 20803. The average number of simultaneous streamers is also at a high level for Stripchat at 1713.1. However, focusing on the average number of viewers per stream, Chaturbate significantly leads other sites with 521.7, indicating a very high concentration of viewers per stream. In contrast, Cam4 has a total of 8478 streamers, an average of 735.7 simultaneous streamers, and an average of 10.5 viewers per stream, suggesting that streaming takes place within a relatively small community. While Camsoda and Bongacams have similar scales with total streamers of 9651 and 9726 respectively, there is a difference in average viewers at 63.4 and 53.5, highlighting a difference in the level of viewer engagement.

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.