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James McCoy ‘Macca’ ✓

@MaccasValueBets · Premium Groups ▶️ · joined 02 Jun 2014

Full time sports bettor. Free Groups: https://t.co/iTLj9zWbqI 🤝Co-Owner of @MyMembersio - Building @StatsHubCom

33 869Followers
573Following
18 502Posts total
203.9KViews on collected posts

Neueste Beiträge

Thought I’d jump in on the action today too. Tipped to members 🥰 Game day only bet builders FTW :) https://t.co/stvv7OesWs
8.2K views · 21 likes · 0 reposts · 3 replies Open on X →
How do you follow up a 64/1 ✅ With a 26/1 ✅ the next day. Tim Kliendiest fouls was showing up as huge value on the model. @DucesPropBets has become a perfectionist on using it. Still invite only (The model) but my god it’s the most powerful tool in the game 👌This bet was http
16.8K views · 18 likes · 1 reposts · 3 replies Open on X →
6 games in a row now. ✅ McAtee O 1.5 fouls won @ 2.62 ✅ O2.5 @ 6.5 A good +4u banked there. Credit @StatsHubCom for the 📊 https://t.co/p81v5OUCyY
7.7K views · 19 likes · 1 reposts · 4 replies Open on X →
Found a bet on StatsHub that's won in the last 14/15. He is 2.0 for a shot 👀 📉1.5 on other books Bet365 now deploy an algorithm that drops odds when people tip to prevent syndicate like action. Going to try this: ❤️ Like & comment 'Bet' And i'll DM it to you. We have been h
9.1K views · 133 likes · 1 reposts · 112 replies Open on X →
🏴󠁧󠁢󠁥󠁮󠁧󠁿 Villa v Forest 🪜 McAtee Fouls ladder 1u, 0.5u, 0.25u Base line has won in ALL of his last 5 games and averaging 1.9 FW per 90 over his last 10. He played against Villa in May and won 3 fouls. He’s set to play against Kamara, Buendia & Barkley who average 3.68 fouls per
17.6K views · 13 likes · 2 reposts · 7 replies Open on X →
@MaccasValueBets thoughts on Sheffield Wednesday vs Wigan 142 views · 0 likes · 0 reposts · 0 replies Open on X →
@MaccasValueBets More of the same tomorrow please💰 409 views · 0 likes · 0 reposts · 1 replies Open on X →
Duce is one of the few that has had early access to the StatsHub Sharp Model over the last few months. He’s just cashed in this @ 64/1 ✅😍 I talk to a lot of ppl using the model and the bets we’re finding are insane. https://t.co/5Wb3nXxD3M
21.4K views · 21 likes · 0 reposts · 5 replies Open on X →
Of course, both bets were found using @StatsHubCom 👌 16.4K views · 10 likes · 0 reposts · 0 replies Open on X →
@MaccasValueBets https://t.co/s3fl2yj3mW 389 views · 0 likes · 0 reposts · 0 replies Open on X →
A few spaces open for over summer. Spaces don’t come up often so if you’ve been waiting, now’s a good time. 2️⃣3️⃣ Outright bets just shared for the World Cup https://t.co/vA71eCzdYY https://t.co/zxbuqTrh39
23.2K views · 9 likes · 0 reposts · 7 replies Open on X →
Amazing 🤩 results Over 100k won yesterday People in my telegram channel keep winning with me everyday. Don’t miss next game, click the link on my bio to join my telegram platform https://t.co/MTbwXhb7UV
82.4K views · 1 likes · 0 reposts · 1 replies Open on X →

Im Vergleich zu Konten gleicher Größe

9 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. wird weit gezeigt, aber nur wenige dieser Zuschauer reagieren.

Medianaufrufe9 093dieses Konto924Median für 10K–100K
Reichweite, %26.85%dieses Konto3.62%Median für 10K–100K
Interaktion, %0.14%dieses Konto1.52%Median für 10K–100K
KennzahlDieses KontoMedian für 10K–100KVerhältnis
Medianaufrufe pro Beitrag9 0939249.84×
Reichweite (Aufrufe ÷ Follower)26.85%3.62%7.42×
Interaktionsrate0.14%1.52%0.09×

Weitere Konten dieser Größe →   Mit einem anderen Konto vergleichen →   Wie diese Vergleichswerte entstehen →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

82.4K29 May
23.2K
389
16.4K11 Sep
21.4K
409
14212 Sep
17.6K
9.1K
7.7K
16.8K
8.2K

Last 12 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.00%29 May
0.07%
0.00%
0.07%11 Sep
0.13%
0.24%
0.00%12 Sep
0.13%
2.71%
0.31%
0.14%
0.29%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes56.8%245 in total
Reposts1.2%5 in total
Replies33.2%143 in total
Quotes1.6%7 in total
Bookmarks7.2%31 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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