IPL Streaming War Room Dashboard — a JioHotstar executive simulation tool with 4 pages covering live match command center, revenue engine, user behavior intelligence, and match impact analysis, plus a what-if simulator and crash predictor.

JioHotstar
IPL Streaming War Room
Executive Command Center · Season 2025
MI 187/4 (18.2) vs RCB
LIVE
19:32:41 IST
Powerplay over 19 — viewer spike +12% in last 60s · Mumbai leads 187/4 · Bumrah to bowl death overs
Concurrent viewers
4.82Cr
▲ +3.2% in 60s
Buffering rate
2.4%
⚠ Near threshold
CDN load
73%
▲ Rising
Avg bitrate
4.2 Mbps
HD+ stable
Region-wise streaming load
Stream quality distribution
4K/HDR
18%
1080p
35%
720p
28%
480p
12%
360p
7%
Device split
67%
Mobile
18%
Smart TV
11%
Web
4%
Tablet
Viewers per over — live heatmap (current innings)
Low Medium High Peak P=Powerplay · D=Death · W=Wicket over
Total ad revenue
₹8.4Cr
▲ This match
Revenue per over
₹42L
▲ Peak: ₹78L
New subscriptions
14,820
▲ +2,100 last hr
CPM rate
₹380
⚠ Pressure slots
Ad revenue per over (₹ Lakhs)
Ad revenue highest in overs 1-6 and 16-20.
Powerplay (Ov 1–6) Middle (Ov 7–15) Death (Ov 16–20)
Subscription spikes — match timeline
Subscription spikes at match start and during powerplay.
Ad slot premium index
Powerplay
9.5x
Death ov.
8.8x
Super over
12x
Wicket
7.2x
Mid-over
3.0x
DAX Insight
Super Over slots generate 12x baseline CPM. MI vs CSK generates 2.3x more ad revenue vs avg match.
Session duration
38.4 min
▲ Above avg
Drop-off rate
18.2%
After ov 12
Highlights views
2.1Cr
▲ +40% post-match
Re-watch rate
11.3%
▲ Wicket replays
User drop-off rate by over (% of viewers who left)
Drop-off rate spikes after wickets and in middle overs.
Wicket event impact on viewership
Behavioral Pattern (DAX)
"User leaves after home team wicket" — 6.2% session drop within 90s. Recovery takes ~3 overs.
Content consumption funnel
Live match viewers
4.82Cr
Highlights viewers
2.1Cr
Re-watch sessions
54L
Clip shares
32L
Social shares
17L
Peak match traffic
MI vs CSK
▲ 5.8Cr peak
Virat factor
+28%
Viewers when batting
Close match lift
+41%
vs one-sided
Playoff mult.
3.2x
vs league avg
Top matches by peak concurrency
Star player traffic impact
Match type engagement comparison
Close finish and super over matches have highest engagement.
What-if scenario simulator
Live controls — match simulator
4.82Cr
19
8/10
Predicted peak
5.1Cr
Ad revenue/over
₹58L
CDN load
79%
Crash risk
Medium
Peak crash predictor — server load forecast
Current server utilization by cluster
Aggregate CDN capacity
73%
73%
Crash probability (next 5 min)
18%
18%
Predictive Alert
If match goes to super over, estimated 5.8Cr concurrent. Pre-scaling 3 CDN clusters recommended. Crash risk jumps to 64% without intervention.