Telegram RegisterThe public register of Telegram
Telegram profile photo for SPORTPESA MEGA JACKPOT ANALYSIS

Channel

SPORTPESA MEGA JACKPOT ANALYSIS

@MegaJackpotAnalysisData

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

1,289subscribers

-6 since we began measuring on 14 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001885324577
TypeChannel
Username@MegaJackpotAnalysisData
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded14 August 2026
Last confirmed live21 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 21 August 2026
On Telegramt.me/MegaJackpotAnalysisData

Growth

1,2891,2971,29314 August 2026 — 1,295 subscribers15 August 2026 — 1,297 subscribers18 August 2026 — 1,294 subscribers21 August 2026 — 1,289 subscribers14 August 202621 August 2026
4 measurements spanning 7 days, net -6. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 1,288–1,298 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
21 Aug 2026, 12:051,289-5
18 Aug 2026, 11:331,294-3
15 Aug 2026, 19:331,297+2
14 Aug 2026, 15:321,295first reading

Engagement

20 posts held, back to 1 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
13.9%
avg views ÷ 1,289 subscribers
Avg views / post
179
5 posts measured
Reaction rate
0.442%
reactions ÷ views · ER floor
Posts in window
5
of 20 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 1 of 5 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 August 2026
Posts held20 (1 June 202611 August 2026)
Views total895
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 15:32 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

Reaction mix

7 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 85.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
685.7%
🔥114.3%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 7 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 7reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 1 June 2026 to 11 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

11 Aug 2026, 13:06 UTC79 viewsread 14 August 2026
Forwarded from @FootballDataAlphaPhoto

Photo, posted without a caption

9 Aug 2026, 09:24 UTC132 viewsread 14 August 2026

# 🚨 ALPHA CORE EXTRACTION | THE STRUCTURAL FILTER Niaje operators. Mũrĩ ega? ⏱️ We had nine raw data points on the radar this afternoon. Amateurs will look at a list of nine matches and try to extract all of them to chase a high multiplier. That is how capital gets drained. At Alpha Football Data, we do not chase multipliers. We chase structural probability. We have run the 9-match dataset through our filters, el

5 Aug 2026, 12:53 UTC191 viewsread 14 August 2026

# 🚨 THE ERA OF DELETED SLIPS IS OVER Niaje operators. Mũrĩ ega? ⏱️ The football data space has a trust problem. Every day, timelines are flooded with hype, disappearing losses, edited screenshots, and empty promises. The market doesn't need another channel celebrating wins and hiding drawdowns. It needs accountability. Welcome to Alpha Football Data. 🔗 https://t.me/FootballDataAlpha We are not a hype channel.

1 Aug 2026, 06:12 UTC226 views1 reactionsread 14 August 2026

[OPERATIONAL SHIFT: MEGA MARKET DATA] Listen up. Navigating the Mega markets during this chaotic August transition requires absolute focus. *shrugs* The scattered approach ends today. We are pulling all quantitative data modeling and probability matrices into one unified command center. If you want the alpha perspective on these heavy 17-game structures, you need to be at the main terminal. No more fragmented dispa

1

29 Jul 2026, 10:22 UTC267 viewsread 14 August 2026

🇩🇪 [BUNDESLIGA TERMINAL: AUGUST 28 RESTART] 🇩🇪 Niaje operators. Mũrĩ ega? ⏱️ Germany resets on August 28 with Bayern Munich vs. VfB Stuttgart. The Bundesliga produces the highest transition speed and variance in Europe. With major squads undergoing post-summer re-tooling, early-season physical conditioning will dictate results over tactical prestige. What our custom filters are tracking right now: • High-agency p

16 Jul 2026, 08:29 UTC375 viewsread 14 August 2026
Forwarded from @FootballDataAlpha

Am back, this time to stay. Your #1 @BenSofts

16 Jul 2026, 08:28 UTC339 viewsread 14 August 2026

👑 ALPHA CORE // PRIORITY DATA NODES | JULY 15, 2026 STATUS: PROCESSED // HIGH-DENSITY SIGNALS ONLY --- ⚽ England vs. Argentina (World Cup) DATA: Under 3.5 Goals METRIC: 1.33 STATUS: High-Density Signal ⚽ Lyon vs. Servette (Club Friendly) DATA: Home Win (1) METRIC: 1.39 STATUS: High-Density Signal ⚽ Decic Tuzi vs. FK Liepaja (Conference League) DATA: Draw or Away (X2) METRIC: 1.36 STATUS: Validated Signal --- >

18 Jun 2026, 09:07 UTC565 views1 reactionsread 14 August 2026

THE ALPHA TERMINAL: DATA INDEPENDENCE Why rely on third-party platforms that limit your operational scope? The Alpha Intelligence Network is built on sovereign infrastructure. We have migrated our digital network to a standalone data terminal, bypassing the limitations of standard applications. Our terminal—The Alpha Core—is designed for: * Zero-Lag Data Delivery: Real-time metrics for high-probability nodes. *

1

15 Jun 2026, 06:42 UTC492 views1 reactionsread 14 August 2026
Forwarded from @FootballDataAlpha

⚡ ALPHA INSIGHTS | DAILY OPERATIONAL INTELLIGENCE ⚡ *Date: June 15, 2026* *Current Phase: World Cup Group Stage Dynamics - Post-Match Audit* ### 📊 DATA AUDIT: RISK PROFILE & FIXED PARAMETERS Habari wazito. The quantitative models have finalized processing the structural parameters and results for the latest fixtures. We are operating purely on statistical realities and reviewing the match outcomes against our initi

🔥1

11 Jun 2026, 15:03 UTC483 views1 reactionsread 14 August 2026

Bypass the noise. Muhindi wa Njeri ameweka kila kitu kwa data ya Level 12. No missing details. 48 teams zinaleta structural gaps kubwa sana usiku wa leo. public sentiment inasema vingine, lakini hesabu yetu ya quantitative analysis inasema hivi: ⚽ Mexico vs. South Africa ⏰ Saa nne kamili usiku (22:00 EAT) 📺 KBC Free-to-Air (FTA) IKO LIVE! Watu wanajaza sentiment hapa, lakini we look at South Africa’s tight defensi

1

Showing the 12 most recent of 20 posts we hold for @MegaJackpotAnalysisData. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Citation-graph rank

Citation-graph rank — 893,989 of 1,583,249entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Names

Channels on the register whose handles appear in this channel's posts.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 21 August 2026 — this entry's latest reading, not the date you are reading this.

“SPORTPESA MEGA JACKPOT ANALYSIS” (@MegaJackpotAnalysisData), 1,289 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/MegaJackpotAnalysisData.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.