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kanisa3928 Twitch stats

Current status: Live nowTwitch PartnerPrimary language: ZH
Watch on Twitch (opens in a new tab)

我有一把槍叫賢妻，遊戲工商合作請聯繫:E-mail:[email protected](嚴肅徵求VPN&加速器爸爸及經紀公司

Tracked since . Profile details synced .

Tracked streams
39
Highest tracked viewers
388

20261110金山+蘆洲

Category: IRLLive for 5h 33m163 watching · sampled

Last 30 days

Every figure below is measured from broadcasts we observed. Percentage changes appear only where the previous period had enough data to compare against.

Average viewers
140

Up +10.7%vs previous 30 days

Across 22 tracked streams

Peak viewers
388
Followers
2,376

Last counted 5 hours ago

Followers gained (30 days)
+507

Up +27.2%growth on the starting count

Hours watched
19.7K

Up +322.1%vs previous 30 days

Hours streamed
140

On 21 days in this period

Highest peak we have tracked: 388 viewers on October 28, 2026.

All-time figures cover only what we have observed since we began tracking this channel on . They are not the channel’s lifetime totals on Twitch.

Viewership over time

Daily figures for the last 30 days. A day we never observed is drawn as a gap, never as a zero.

Hours watched per day

kanisa3928, last 30 days.

View as table
Daily viewership for kanisa3928 over the last 30 days
DateAvg viewersPeak viewersHours watchedHours streamed
Nov 10, 2026————
Nov 9, 20261912871,5448.07
Nov 8, 2026————
Nov 7, 20261462781,88013
Nov 6, 2026————
Nov 5, 20261562309035.8
Nov 4, 20261331769026.8
Nov 3, 2026————
Nov 2, 2026————
Nov 1, 20261642268084.93
Oct 31, 202681.11063314.09
Oct 30, 20261071544073.8
Oct 29, 20261812901,6108.9
Oct 28, 20261753881,6119.2
Oct 27, 20261152568867.72
Oct 26, 20261332981,50811
Oct 25, 20261711882251.32
Oct 24, 20261612401,1807.33
Oct 23, 2026————
Oct 22, 2026————
Oct 21, 202697.61334734.85
Oct 20, 20261101426295.72
Oct 19, 20261483241,2598.48
Oct 18, 2026————
Oct 17, 202673.0913805.2
Oct 16, 20261051435955.67
Oct 15, 20261221687316
Oct 14, 20261673611,1296.77
Oct 13, 2026————
Oct 12, 20261271836975.5
Oct 11, 2026————

Follower growth

Total followers recorded each day over the last 30 days.

Follower detail

Followers

The axis starts at zero, so a week of growth on a large channel looks small — which is the honest reading.

View as table
Daily follower counts for kanisa3928 over the last 30 days
DateFollowersFollowers gained
Nov 10, 2026——
Nov 9, 20262,369+23
Nov 8, 2026——
Nov 7, 20262,346+50
Nov 6, 2026——
Nov 5, 20262,2960
Nov 4, 20262,296+17
Nov 3, 2026——
Nov 2, 2026——
Nov 1, 20262,279+11
Oct 31, 20262,268+3
Oct 30, 20262,265+19
Oct 29, 20262,246+45
Oct 28, 20262,201+46
Oct 27, 20262,155+57
Oct 26, 20262,098+46
Oct 25, 2026——
Oct 24, 20262,052+44
Oct 23, 2026——
Oct 22, 2026——
Oct 21, 20262,008+13
Oct 20, 20261,995+11
Oct 19, 20261,984+26
Oct 18, 2026——
Oct 17, 20261,958+12
Oct 16, 20261,946+32
Oct 15, 20261,914+6
Oct 14, 20261,908+28
Oct 13, 2026——
Oct 12, 20261,880+18
Oct 11, 2026——

Performance — last 30 days

The same numbers the charts draw, as a table.

Tracked performance for the last 30 days
MetricLast 30 daysChange
Streams tracked22No reliable comparison available
Days with a broadcast21No reliable comparison available
Hours streamedObserved airtime; sampling gaps are excluded, not estimated.140No reliable comparison available
Average stream length6h 52mNo reliable comparison available
Average viewersTime-weighted across every observed minute.140Up +10.7%
Median viewersHalf of tracked streams did better than this, half worse.136No reliable comparison available
Peak viewers388No reliable comparison available
Hours watchedEstimated viewer-hours, derived from sampling.19.7KUp +322.1%
Followers gained+507No reliable comparison available
Data confidenceHow completely we sampled the broadcasts in this period.93%No reliable comparison available

Covers the last 30 days of tracked activity. Periods we did not observe are excluded from every figure rather than counted as zero.

Recent streams

The 10 most recent of 43 tracked broadcasts.

All streams
Recent tracked broadcasts for kanisa3928
StreamCategoryDurationAvg viewersPeakHours watched
20261110金山+蘆洲Status: LiveIRL——195—
20261109以尊重相待以理解相守IRL8h 19m1912871,593
過紫勾(｡◕‿◕｡)感謝這十個月經歷的一切，一些人，一些事。IRL13h 12m1462781,931
一日一剪輯Day52｜在這個利益至上的時代，談論愛是一件需要勇氣的事#相信IRL6h 2m156230941
一日一剪輯Day51｜與其被對象左右，不如左右都是對象#自主訂閱IRL7h 2m133176933
一日一剪輯Day50｜ 解個支線任務IRL5h 14m164226859
一日一剪輯Day49｜ 萬聖節小玩一下之社恐人決定躺平IRL4h 23m81.1106356
一日一剪輯Day48｜ 一起買腳架IRL4h 3m107154434
一日一剪輯Day47｜ 美女生日快樂🎂 @ggcuteeeIRL9h 17m1812901,681
一日一剪輯Day46｜ 走路草的一天 @keith_lin_IRL9h 31m1753881,669

Times are UTC. Average and peak viewers come from periodic sampling of the live broadcast, so they are close estimates rather than exact platform figures. A stream marked “partial data” had gaps in our sampling; the unobserved time is excluded from its averages rather than filled in.

Games and categories

Where kanisa3928's tracked airtime went in the last 30 days.

All categories

Share of tracked stream time

Hours broadcast per category over the last 30 days.

  • IRL132 h · 87%

    146 average viewers here

  • Just Chatting19 h · 13%

    105 average viewers here

Category performance over the last 30 days
CategoryHours streamedShareStreamsAvg viewersPeakHours watched
IRL13287%1914638819.2K
Just Chatting1913%41053242,017

Covers the last 30 days. Categories with no observed airtime in the period are not listed at all rather than shown as zero.

Streaming patterns

When this channel has actually been live, by UTC weekday and hour. Observed history, not an announced schedule.

Observed broadcast hours

Observed broadcast history in UTC over the tracked period — not an announced schedule. Empty cells mean we never recorded a broadcast in that hour.

LessMore (up to 6 h)
Hours streamed by UTC hour and weekday, from observed broadcast history.
Day00:00 UTC01:00 UTC02:00 UTC03:00 UTC04:00 UTC05:00 UTC06:00 UTC07:00 UTC08:00 UTC09:00 UTC10:00 UTC11:00 UTC12:00 UTC13:00 UTC14:00 UTC15:00 UTC16:00 UTC17:00 UTC18:00 UTC19:00 UTC20:00 UTC21:00 UTC22:00 UTC23:00 UTC
Sunday1 hours0.33 hoursno broadcast observedno broadcast observed1 hours1 hours1 hours2 hours2 hours1.77 hours1 hours1 hours0.28 hoursno broadcast observedno broadcast observedno broadcast observedno broadcast observedno broadcast observedno broadcast observedno broadcast observedno broadcast observedno broadcast observedno broadcast observed1 hours
Monday1 hours0.33 hoursno broadcast observedno broadcast observed1 hours1 hours1 hours0.99 hours3 hours3 hours4 hours4 hours5 hours5 hours4.25 hours3 hours2.59 hours1.17 hours0.83 hoursno broadcast observedno broadcast observedno broadcast observedno broadcast observedno broadcast observed
Tuesdayno broadcast observedno broadcast observedno broadcast observed1 hours1 hours2 hours2 hours2 hours3 hours3 hours2.47 hours2 hours2.56 hours2 hours2.73 hours1.18 hours1.34 hours1 hours2 hours2 hours1.59 hours0.25 hoursno broadcast observedno broadcast observed
Wednesdayno broadcast observedno broadcast observedno broadcast observedno broadcast observedno broadcast observedno broadcast observed2 hours4 hours5 hours5 hours5 hours4.7 hours4 hours3.62 hours2 hours1.7 hours0.55 hoursno broadcast observed1 hours1 hours2 hours1.52 hours1 hours1 hours
Thursday1 hours1 hours0.48 hours1 hours1 hours2 hours3 hours5 hours5 hours5 hours5.56 hours5 hours6 hours5.98 hours3.36 hours2.74 hours1.07 hours0.19 hoursno broadcast observedno broadcast observedno broadcast observedno broadcast observedno broadcast observedno broadcast observed
Fridayno broadcast observedno broadcast observedno broadcast observedno broadcast observedno broadcast observedno broadcast observed1 hours2 hours2 hours3 hours2.89 hours4 hours4 hours3.18 hours2 hours1.58 hours1 hours1 hours0.43 hoursno broadcast observedno broadcast observedno broadcast observedno broadcast observedno broadcast observed
Saturdayno broadcast observedno broadcast observedno broadcast observedno broadcast observedno broadcast observedno broadcast observedno broadcast observed2 hours4 hours4 hours5 hours5 hours6 hours6 hours5.2 hours5.21 hours4.77 hours3.88 hours3 hours3 hours1.69 hours1 hours1 hours1 hours

Engagement measurements

How much chat this channel produces for its audience, and how steady its viewer count is. Both are observations, not judgements.

Chat participation
19.2 per 1,000 viewers

Median for similar channels: 12.7

From 2 sampled windows of public chat.

Viewer count steadiness
2.27

Median across measured channels: 1.77

Variation in the viewer count between readings, relative to what an audience of independent people would produce. Higher means more variation.

Messages per chatter
1.8

How much each participating account says. Very high values mean a few accounts are doing most of the talking.

Chat figures come from sampling the public chat of kanisa3928 for short windows; they count accounts that sent a message, not people watching silently, and most of any audience watches silently. What these numbers do and do not mean.

Data-driven observations

What the tracked data shows

Generated from the figures on this page. No estimate is stated more precisely than the measurement supports, and nothing here claims a cause.

  • Positive: Average viewership increased 10.7% compared with the previous 30 days.

  • Positive: Estimated hours watched rose to 19.7K over the 30 days, +322.1% versus the previous period.

  • Neutral: IRL produced the highest average audience (146 viewers) among categories streamed for at least 5 hours in this period.

  • Neutral: 87% of tracked stream time in this period was spent in IRL.

  • Positive: Gained 507 followers over the 30 days (+27.2%).

  • Neutral: The highest tracked peak was 388 viewers on October 28, 2026.

  • Positive: Viewership is consistent between streams, varying little around the 30 days average.

  • Neutral: Most tracked airtime falls on Saturday, typically starting around 07:00 UTC.

  • Neutral: Streams in this period averaged 6h 52m across 22 tracked broadcasts.

Records and totals above are bounded by our own observations, which begin on August 24, 2026.

Similar streamers

Channels with overlapping categories and a comparable tracked audience.

This profile has enough tracked history to be listed in search engines. How these numbers are calculated.