Sigma Predict is an autonomous sports prediction engine, that fires high probability alerts when a market edge is detected. Core values: Full Transparency & Continuous Improvement We automatically keep track of all alerts for analysis and model improvements, but also to show to public and subscribers. No edits, no faking, pure transparency. Results are good, we show. Results are bad, we also show and improve. FRE…

Channel
Sigma Predict | Sports Betting Alerts
@sigmapredict
On this record: Growth · Engagement · Reactions · Stars · Posts · Cite this entry
48subscribers
+8 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002173022139 |
|---|---|
| Type | Channel |
| Username | @sigmapredict |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 29 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 29 August 2026 |
| On Telegram | t.me/sigmapredict |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 29 Aug 2026, 08:28 | 48 | +3 |
| 15 Aug 2026, 18:57 | 45 | +3 |
| 10 Aug 2026, 17:45 | 42 | no change |
| 8 Aug 2026, 15:44 | 42 | +2 |
| 7 Aug 2026, 23:31 | 40 | first reading |
Engagement
20 posts held, back to 24 July 2026 — the 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
- 106.9%
- avg views ÷ 48 subscribers
- Avg views / post
- 51.3
- 15 posts measured
- Reaction rate
- 5.53%
- reactions ÷ views · ER floor
- Posts in window
- 15
- 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 13 of 15 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 10 August 2026 |
|---|---|
| Posts held | 20 (24 July 2026 – 10 August 2026) |
| Views total | 770 |
| Reactions total | 40 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Aug 2026, 17:45 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
53 reactions across 18 posts, in 2 distinct kinds. The most used accounts for 56.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 30 | 56.6% | |
| 🔥 | 23 | 43.4% |
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 18 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 53reactions 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 24 July 2026 to 10 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.
Telegram Stars
- Stars received
- 1
- across the posts below
- Posts paid on
- 1
- of 20 we hold a reading for · 5%
- Most on one post
- 1
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @sigmapredict. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 20 most recent posts we hold for this entry, published 24 July 2026 to 10 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
And just like that, -60€ gone due to Odds provider issue... Day was still positive, but I am not happy and will implement a protection mechanism for these cases. Talk to you tomorrow.
👍3
A clear example of the Odds issue today. Cuiaba scored 1-0, so the real live odd of Cuiaba to win was 1.65. But, the Odds feed stayed stale at 2.75, so the Sigma Predict model evaluated based on that and found "big edge" (of course). Such an edge, not only triggers bad alerts for users, but also takes more stake units from bankroll. So overall bad for everyone. This is an Odds provider issue not Sigma Predict issu…
🔥2
Project Update (09/08/2026) - Red Cards: my model for some reason was not counting them into decision making. Root causes identified, and fixed. - Odds: Today my odds provider had delays, which made some alerts come out with slightly inflated/calculated edges + generated alerts (too late). I need to think on guardrails for this, and will fix it. 🧠 Thanks for your continuous support.
👍5
What a Saturday! Stress Test with more than 100 matches loaded with great results! Total Today: +350€ Total August: 872€ Tomorrow will be another full day. Take care, and use Staking!
🔥2
I guess adding the EFL Cup today was a great decision. The Sigma Predict engine worked like a charm. 🔥 Anyway, there were some reds today... And also some bugfixes for future... Later in afternoon I will publish the end daily results. Take care!
🔥3
Total Today: +16.34€ Total August: +493.10€
🔥3
We have loaded EFL Cup for tomorrow! Also, we added major leagues that start tomorrow. In total, almost 100 matches. 🔥 The perfect stress test to the system! If you have not joined the Sigma Predict Alerts Channel, do it now: @SigmaPredictBot (it's free)
👍3
Full Transparency: Today, several matches with surprises, we end up negative. But since 1st August, 62 bets and great ROI. We are still positive and the models are stable. Let's keep the good work 💪🏻
👍5
Reminder: For those who have not requested free access to the Alerts Bot, please request here: @SigmaPredictBot
Only 3 days in August!! Alerts currently FREE for all. Are you making money with us already? If not, you should: @SigmaPredictBot
🔥3
Hard Work & Dedication As you can see, we fixed the engine and the safeguards of our system in August. And the results are already visible! Compare July (full month) vs. August (only 3 days), and we already surpassed the previous results 🫣 Still not convinced? See all the alerts for free here @SigmaPredictBot and have fun making money 🤑 Talk to you all soon in the next update.
🔥3
Showing the 12 most recent of 20 posts we hold for @sigmapredict. 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.
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 29 August 2026 — this entry's latest reading, not the date you are reading this.
“Sigma Predict | Sports Betting Alerts” (@sigmapredict), 48 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/sigmapredict.
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.