When tipsters agree, does it pay?

Where several tracked tipsters backed the same market, here is how they split — and whether the pick most of them made actually landed.

Crowds
1,340
Tipsters
757
Sources
13
Corpus covered
54.4%
  • Viborg vs LyngbyMatch winner · Superleague4 Sept 2026landed
    0pp4 tips
    Home
    tipsters100.0%
    stake100.0%
    Who backed this

    Home · 4

    • Vitibet Algorithmvitibet4,067 picks · 64.5% · -5.25%won
    • Predictz Algorithmpredictz2,168 picks · 43.5% · -6.53%won
    • Draperiablogabetnot enough tracked yet1.79lost
    • Merovingianoddspedianot enough tracked yet1.80won
  • Neom vs Al- Khaleej SaihatMatch winner · Premier League3 Sept 2026landed
    —4 tips
    Home
    tipsters100.0%
    stake—
    Who backed this

    Home · 4

    • Vitibet Algorithmvitibet4,067 picks · 64.5% · -5.25%won
    • Predictz Algorithmpredictz2,168 picks · 43.5% · -6.53%won
    • Kallidusoddspedianot enough tracked yet1.64won
    • Kauzioddspedianot enough tracked yet1.95won
  • Alashkert vs VanMatch winner · Premier League3 Sept 2026missed
    0pp4 tips
    Home
    tipsters100.0%
    stake100.0%
    Who backed this

    Home · 4

  • Sweeny D vs Musetti LMatch winner · Men3 Sept 2026landedone source
    0pp4 tips
    Home
    tipsters100.0%
    stake100.0%
    Who backed this

    Home · 4

    • Tennis Masterr on Xblogabet32 picks · 37.5% · -8.25%3.50won
    • Amazing_Overlaysblogabetnot enough tracked yet3.65won
    • Amazing_Overlaysblogabetnot enough tracked yet3.65won
    • Solidvalueblogabetnot enough tracked yet3.67won
  • Tampa Bay Rays vs New York MetsMatch winner · MLB2 Sept 2026landed
    0pp4 tips
    Home
    tipsters100.0%
    stake100.0%
    Who backed this

    Home · 4

    • Vitibet Algorithmvitibet4,067 picks · 64.5% · -5.25%won
    • Andrew Carterblogabetnot enough tracked yet1.74won
    • Andrew Carterblogabetnot enough tracked yet1.74won
    • Andrew Carterblogabetnot enough tracked yet1.74won
  • Union Atletico El Vigia vs Atletico BarinasOver/Under · Division 22 Sept 2026missedone source
    0pp4 tips
    Over
    tipsters100.0%
    stake100.0%
    Who backed this

    Over · 4

    • futurefamousblogabet45 picks · 44.4% · -22.72%1.80lost
    • futurefamousblogabet45 picks · 44.4% · -22.72%1.80lost
    • Interfaceblogabet32 picks · 75.0% · +42.03%2.01void
    • LMGuerrablogabetnot enough tracked yet1.78void
  • Macara vs MantaMatch winner · Premier League2 Sept 2026landed
    0pp4 tips
    Home
    tipsters100.0%
    stake100.0%
    Who backed this

    Home · 4

  • Torino vs MonzaMatch winner · Cup. 1/16 finals1 Sept 2026missed
    0pp4 tips
    Home
    tipsters100.0%
    stake100.0%
    Who backed this

    Home · 4

  • Bradford City vs Cambridge UnitedMatch winner · League 11 Sept 2026missed
    —4 tips
    Home
    tipsters100.0%
    stake—
    Who backed this

    Home · 4

    • Vitibet Algorithmvitibet4,067 picks · 64.5% · -5.25%lost
    • Predictz Algorithmpredictz2,168 picks · 43.5% · -6.53%lost
    • Cabreraoddspedianot enough tracked yet1.75lost
    • LilDavie11oddspedianot enough tracked yet1.75lost
  • Al-Hilal SFC vs Al-Ahli JeddahMatch winner · Premier League1 Sept 2026landed
    0pp4 tips
    Home
    tipsters100.0%
    stake100.0%
    Who backed this

    Home · 4

    • Vitibet Algorithmvitibet4,067 picks · 64.5% · -5.25%won
    • Predictz Algorithmpredictz2,168 picks · 43.5% · -6.53%won
    • freguliblogabet82 picks · 29.3% · -19.35%3.25lost
    • PaullindoRSoddspedianot enough tracked yet1.45won
  • Rostov vs CSKA MoscowDraw no bet · Group stage1 Sept 2026missedone source
    —4 tips
    Away
    tipsters100.0%
    stake—
    Who backed this

    Away · 4

    • Dante7oddspedianot enough tracked yet1.65lost
    • I Am Legendoddspedianot enough tracked yet1.65lost
    • SchemmaTatticooddspedianot enough tracked yet1.65lost
    • Ystanoddspedianot enough tracked yet1.65lost
  • Arda Kardzhali vs Botev VratsaMatch winner · League 131 Aug 2026landed
    —4 tips
    Home
    tipsters100.0%
    stake—
    Who backed this

    Home · 4

  • Monaco vs MarseilleMatch winner · Ligue 1. Season 26/2730 Aug 2026landed
    —4 tips
    Home
    tipsters100.0%
    stake—
    Who backed this

    Home · 4

    • Predictz Algorithmpredictz2,168 picks · 43.5% · -6.53%won
    • MightyTipsmightytips242 picks · 53.7% · -6.51%2.35won
    • ProSoccerprosoccer147 picks · 67.3% · +0.96%2.40won
    • RichStrikeoddspedianot enough tracked yet2.20won
  • Lazio vs GenoaMatch winner · Serie A. Season 26/2730 Aug 2026landed
    —4 tips
    Home
    tipsters100.0%
    stake—
    Who backed this

    Home · 4

    • Vitibet Algorithmvitibet4,067 picks · 64.5% · -5.25%won
    • Predictz Algorithmpredictz2,168 picks · 43.5% · -6.53%won
    • Carlos96oddspedianot enough tracked yet2.40won
    • SIRMIUM LEGIONoddspedianot enough tracked yet2.35won
  • Asteras Tripolis vs Olympiacos PiraeusMatch winner · Superleague 130 Aug 2026landed
    —4 tips
    Away
    tipsters100.0%
    stake—
    Who backed this

    Away · 4

  • Manchester United vs Ipswich TownOver/Under · Premier League. Season 26/2730 Aug 2026landed
    0pp4 tips
    Over
    tipsters100.0%
    stake100.0%
    Who backed this

    Over · 4

    • jacksontiongasianbookie417 picks · 54.4% · +21.27%1.93won
    • dangdung35asianbookie69 picks · 49.3% · -67.36%1.93won
    • vvvinnncblogabet37 picks · 40.5% · -30.48%2.51lost
    • vvvinnncblogabet37 picks · 40.5% · -30.48%2.02won
  • Atletico Tucuman vs BelgranoAsian handicap · Premier League30 Aug 2026landedone source
    0pp4 tips
    Away
    tipsters100.0%
    stake100.0%
    Who backed this

    Away · 4

    • Mattheus Xavierblogabet46 picks · 60.9% · +31.87%2.25void
    • manosblogabetnot enough tracked yet1.76won
    • PistolPete7blogabetnot enough tracked yet1.69won
    • Spaniard Top Picksblogabetnot enough tracked yet1.69won
  • Rosario Central vs Gimnasia La PlataMatch winner · Premier League29 Aug 2026missed
    0pp4 tips
    Home
    tipsters100.0%
    stake100.0%
    Who backed this

    Home · 4

  • Watford vs West HamOver/Under · Championship29 Aug 2026landed
    0pp4 tips
    Under
    tipsters100.0%
    stake100.0%
    Who backed this

    Under · 4

    • Jov135asianbookie427 picks · 53.2% · -24.99%1.98won
    • vegnes2277asianbookie183 picks · 54.1% · -19.93%1.98won
    • TanJovisasianbookie110 picks · 50.9% · +70.66%1.98won
    • AlienPickblogabetnot enough tracked yet1.36won
  • The New Saints vs Colwyn BayMatch winner · Premier League28 Aug 2026landed
    —4 tips
    Home
    tipsters100.0%
    stake—
    Who backed this

    Home · 4

  • Al-Nassr Riyadh vs Al-Taawoun BuraydahMatch winner · Premier League28 Aug 2026missed
    —4 tips
    Home
    tipsters100.0%
    stake—
    Who backed this

    Home · 4

  • Rodez vs PauMatch winner · Ligue 228 Aug 2026missed
    0pp4 tips
    Home
    tipsters100.0%
    stake100.0%
    Who backed this

    Home · 4

  • Laval vs GrenobleMatch winner · Ligue 228 Aug 2026missed
    0pp4 tips
    Home
    tipsters100.0%
    stake100.0%
    Who backed this

    Home · 4

    • Vitibet Algorithmvitibet4,067 picks · 64.5% · -5.25%lost
    • Predictz Algorithmpredictz2,168 picks · 43.5% · -6.53%lost
    • Hunter4Yield21oddspedianot enough tracked yet2.08lost
    • jiroblogabetnot enough tracked yet2.00lost
  • Montpellier vs BoulogneMatch winner · Ligue 228 Aug 2026missed
    0pp4 tips
    Home
    tipsters100.0%
    stake100.0%
    Who backed this

    Home · 4

    • Vitibet Algorithmvitibet4,067 picks · 64.5% · -5.25%lost
    • Predictz Algorithmpredictz2,168 picks · 43.5% · -6.53%lost
    • Hunter4Yield21oddspedianot enough tracked yet1.73lost
    • PastoRoi (100% Pinnacle)blogabetnot enough tracked yet1.78lost
  • Universitatea Cluj vs Petrolul PloiestiMatch winner · League 128 Aug 2026missed
    0pp4 tips
    Home
    tipsters100.0%
    stake100.0%
    Who backed this

    Home · 4

    • Vitibet Algorithmvitibet4,067 picks · 64.5% · -5.25%lost
    • Predictz Algorithmpredictz2,168 picks · 43.5% · -6.53%lost
    • Szumioddspedianot enough tracked yet1.63lost
    • Yata Garasublogabetnot enough tracked yet1.70void
How to read a row

Tipsters is how many backed the selection. Stake is how much of the published stake went there. When they disagree, a few tipsters are loading on something the rest only nodded at.

Diff is that gap for the most-backed selection, in percentage points, and is highlighted past 10pp. Negative means plenty of bodies but little conviction.

The stake column is blank where nobody published a stake — most sources are flat-stake, and repeating the tipster split there would invent a money signal out of an absence. Rows marked one source are tipsters on the same site, who can read each other; that is agreement, not independent confirmation.

Did the crowd's pick pay?

Every selection above, split into the one most tipsters backed and everything else.

Most-backed yield

+18.79%

3,860 picks · avg price 2.00

Rest yield

+3.03%

765 picks · avg price 2.67

Most-backed win rate

55.9%

95% CI [54.3%, 57.4%]

3,860 graded

Rest win rate

48.1%

95% CI [44.6%, 51.6%]

765 graded

The most-backed selection yields +18.8% over 3,860 priced picks; the rest of the field yields +3.0% over 765 priced picks. The gap between them is +15.8%, but its 95% interval spans -17.3% to +48.9% -- this sample cannot separate the two. That is a result, not a missing one. The most-backed selection is priced at a mean of 2.00, the rest at a mean of 2.67 -- sides priced this differently are expected to post different strike rates on their own, before either one has actually called anything better.

Across the whole corpus, every advertised pick yields +12.7% over 30,942 priced picks. The crowd's pick is 6.1 points ahead of that, but the interval on the difference spans -5.9% to +18.1% -- so it has not been shown to beat the corpus it was drawn from. A corpus whose whole 95% interval sits above zero (+9.4% to +16.0%) is describing what gets published and graded rather than an edge a bettor could have taken, so treat every absolute yield on this page as inflated and the gap between two of them as the number that means something.

Why yield, and not the win rate?

The side more tipsters back is usually the favourite, and favourites win more often at shorter prices. That is what a short price means, not evidence the crowd called it right — see the strike-rate/yield pair for the general case. Yield is the number that pays, so the verdict reads from it. Win rate stays visible because the gap between the two is itself the point.

Both are measured over advertised prices only. Some sources publish a probability rather than a price; a price derived from one carries no bookmaker margin and describes a bet nobody could have placed, so those tips are excluded from these four figures entirely.

What counts as a crowd, and whose crowd is it?

Two tips are the same fixture when they share an event, or name the same two teams on the same UTC day. A crowd needs three or more tips on the same market, and one selection has to beat every other individually — a tie has no winner to name.

"Most-backed" is a plurality, not a majority: on a three-way market a selection only has to beat each rival on its own. A split of 5 home / 4 draw / 3 away reads as 5 against 7. The other side is a mixture of whatever different bets those tipsters made, never one shared opposing view.

These groups are backed by 757 distinct tipsters across 13 distinct sources.

These figures speak for 54.4% of the settled corpus — 22,451 of 41,285 rows carry a fixture identity we can group on. The rest carry neither an event nor a verified kickoff, and are excluded rather than guessed at.

How many tips each fixture attracted
How many settled tips each identified fixture attracted, one row per tip count until the remaining fixtures no longer outnumber the row below them.
TipsFixtures
12,465
21,558
3771
4441
5323
6191
7141
8104
985
1051
1150
1245
1336
1435
1525
1624
1716
1811
1916
2014
219
224
237
249
253
263
276
286
295
306
311
323
331
344
353
363
371
381
391
400
411
420
431
441
451
461
470
480
492
500
510
521
531
541
551
561
571
580
590
600
612
620
630
640
650
660
670
680
690
700
710
721
730
740
750
761
770
78+1

Where it holds up

The same comparison, cut three ways. Each column is a yield: what the crowd's pick returned against what everything else returned.

By how many agreed

Does a bigger pile-on pay more than a slim majority?

By how many agreed: what the most-backed selection and the rest of the field yielded in each bucket, over advertised prices only.
Tipsters agreeingCrowdsCrowd's pickThe field
3within noise663+19.53%+4.07%
4–5within noise424-6.97%+16.60%
6+within noise253+36.15%-0.15%

By market

Agreement on who wins and agreement on a total are not the same act.

By market: what the most-backed selection and the rest of the field yielded in each bucket, over advertised prices only.
MarketCrowdsCrowd's pickThe field
Match winnerwithin noise637+11.48%+9.38%
Over/Underwithin noise475+23.05%-2.59%
Asian handicapwithin noise167+14.01%+10.71%
Asian over underwithin noise23-9.92%+33.83%
Double chancewithin noise15+49.39%-32.25%
Handicapwithin noise10-9.97%+384.19%
Otherwithin noise13-69.47%—

By where the crowd came from

Tipsters on separate sites agreeing is a different fact from one site agreeing with itself.

By where the crowd came from: what the most-backed selection and the rest of the field yielded in each bucket, over advertised prices only.
CrowdCrowdsCrowd's pickThe field
Across sources844+27.72%-24.50%
Within one source496+9.51%+52.03%
Why the yields here can mislead

Read the Crowds column before the yields. These buckets hold very different numbers of crowds, and a striking figure over a handful of them is a small sample, not a finding about that market. A row marked within noise is one whose two yields cannot be told apart: the 95% interval on the difference between them still contains zero, so whatever gap the columns show is inside what ordinary variance produces on its own.

Bigger crowds also gather on bigger matches, and bigger matches carry shorter prices. A difference across the crowd-size buckets can be the prices talking rather than the crowd.

These three axes are around a dozen comparisons in total, each at 95% confidence. On that many, roughly one in twenty would clear the bar by chance alone even if nothing here were real, so a single separable row is weaker evidence than it looks. Two rows pointing in opposite directions on the same axis, as the crowd-composition split does, is the pattern that is hard to get by accident.

Method and limits

Why there are no upcoming fixtures here

Every crowd on this page has already played and been graded. A tip we observed on another site is never published before it settles: showing someone else's live pick would make this a substitute for the site we are checking rather than a check on it. That rule is in the methodology, and it is why there is no "tonight's consensus" board.

Which prices count

Advertised prices only. Some sources publish a probability instead of a price; deriving one from it (1/p) gives a number carrying no bookmaker margin, which flatters every return computed from it. Those tips still count towards who is in a crowd — an algorithm's tip is a real tip — but never towards a figure about money.

Why this page disagrees with the research study

This page reads the live corpus, so its figures move as tips settle. The corpus study closes its data at the start of each month so a number quoted from it is still there when someone checks. The two will report different figures for the same measurement, and neither is wrong. Cite the study; read this page.

Computed
2026-09-11 14:38 UTC
Cadence
Every request, live
Revisions
None — the corpus only grows