u/SimTheGame

Unfortunately the books cleaned up last night by making everyone believe the USA had a chance. What a horrific performance after such an incredible tournament.

Messi opens the scoring in 23.1 percent of simulated matches. That is not just the highest first-goal rate on the board, it is more than double the next names on the list, Julian Alvarez and Lautaro Martinez at 10.3 and 10.2 percent respectively. When one player personally drives the opening goal in nearly one of every four game scripts, it shapes how you read every downstream market.

The most interesting gap in the entire board lives on the Asian handicap. Running this game 10,000 times off DK's own lines, Egypt +1 covers 41.1 percent of the time. The book's implied probability on that same side is 36.4 percent, a 4.7 point gap that is the widest divergence anywhere on this slate. To put that in plain terms: the runs say Egypt holds the margin to one goal or wins outright in more than four out of ten scripts, while the book is pricing that outcome closer to just over one in three.

The mechanism behind it is the total distribution. The runs land on a median of 3 goals with an average of 2.9, and Argentina's own team total sits at a projected 2.1 goals scored. Low-scoring Argentina wins mean a lot of 1-0 and 2-0 scorelines, and sure enough, those are the two most likely outcomes at 14.2 and 14.1 percent. A 1-0 Argentina win is a push on Argentina -1, and that 0-0 draw lands at 10.1 percent. All of that weight in the low-margin bucket is what produces the Egypt +1 coverage rate the runs are generating.

BTTS sits at 38.2 percent against a book number of 37.9, essentially dead even. The board outside the Asian handicap is one of the more efficiently priced games you will find anywhere, which makes that +1 gap stand out even more against an otherwise quiet set of reads.

As always, I'm not giving out picks, "locks," or anything like that. I'm simply breaking down games through the sportsbooks' odds and how they may see the matchup. Take the information however you wish, but none of this is a lock or pick, and focusing on that takes away from real discussion.

Back to regular programming, Spain 1-0 played out exactly like the books expected, slow, tight but Spain ultimately taking it home. It is too bad for Ronaldo.

Moving on to USA vs. Belgium.

Three-way results that are this close to even are genuinely rare. Ten thousand simulated games put Belgium at 35.0%, USA at 38.1%, and the draw at 26.9%. The book has it nearly identical. When three outcomes sit that tightly bunched, the margin distribution tells you most of what you need to know, and here it concentrates almost entirely in the one-goal range.

The most common scoreline across all those runs is 1-1 at 10.0%, followed by 0-1 USA at 8.1%, 1-0 Belgium at 7.8%, and 0-0 at 7.8%. Four scorelines accounting for a third of all outcomes, and three of the four are one-goal decisions or draws. The average margin sits at just 0.1 goals, with 80% of games landing between two goals either way. This is a genuine pick'em, not just a label the book is slapping on it.

The both-teams-to-score probability of 62.3% fits that picture. Both sides project to score in nearly two out of every three games, which is what keeps 1-1 on top of the pile. Belgium scores in 77% of runs, USA in 78%.

The one market where the runs drift a little from the book is the second half draw. Across all simulated games, 36.8% of second halves end level versus the book's no-vig price of 33.7%, a gap of 3.1 points. That is the widest divergence on the entire board, and it tracks logically with a game the runs see as extremely tight from wire to wire.

As always, I'm not giving out picks, "locks," or anything like that. I'm simply breaking down games through the sportsbooks' odds and how they may see the matchup. Take the information however you wish, but none of this is a lock or pick, and focusing on that takes away from real discussion.

The book knew something the market wasn't onto. France and Paraguay were 8 minutes away from 0-0 tie until predictably Mbappe scored the opening goal via Penalty.

Brazil opens as a clear favorite at -130, and 10,000 simulated games back that up, Brazil wins 53.1% of the time. But the way those wins actually look is where things get interesting.

The most common scoreline across all 10,000 runs is Norway 0-1 Brazil at 9.9%, followed almost immediately by 1-1 at 9.8% and 1-2 at 9.2%. Three of the four most likely outcomes are one-goal games. Brazil is favored, but the runs keep landing on tight margins, not comfortable ones. The average margin is just 0.7 goals in Brazil's favor.

Norway's goal distribution explains part of this. They score zero in 39% of runs, but they score at least once in 61% of them. That 61% feeds directly into the BTTS number, which sits at 58.9% across the simulations, almost exactly where DK has it at 59.7%. The game is priced efficiently there, but the underlying shape is worth absorbing. Brazil is not expected to run away from Norway so much as grind past them.

Haaland opens the scoring in 12.6% of simulated games, virtually identical to Vinicius Junior at 12.5%. The Brazilian attack is deeper and more likely to produce, but the first goal is genuinely a coin flip between those two. This game profiles as a one-goal contest where Brazil is the right side directionally but the margin stays tight.

As always, I'm not giving out picks, "locks," or anything like that. I'm simply breaking down games through the sportsbooks' odds and how they may see the matchup. Take the information however you wish, but none of this is a lock or pick, and focusing on that takes away from real discussion.

Tough game for Canada. It played out as predicted, a controlled low-event game up until the 82nd minute where Morocco absolutely dominated.

Running France vs Paraguay, the average scoreline is a 2-0 France win, and the distribution clusters tightly around that outcome. France 2-0 lands in 14.9% of runs, France 1-0 in 12.3%, and France 3-0 in 11.1%. Those three scorelines alone account for nearly 40% of all simulated matches. The game's most likely arc is France controlling possession, finding a goal before halftime in 57.6% of runs, and then closing the door.

Paraguay scoring at all is the real question mark. They finish with zero goals in 62% of runs, and BTTS comes in at just 38.3%. The book has it at 39.3%, essentially identical. The fourth most common scoreline is France 0-0 at 8.0%, which tells you something: Paraguay keeping a clean sheet is almost as likely as them scoring one.

Mbappe is the engine. He opens the scoring in 23.8% of simulated matches and projects at 1.1 goals per game, separating himself clearly from every other player in the box score. France's attack runs through him, and the distribution reflects that: the over on the total (2.5) is pulled up by the right tail of blowout scripts, while the most common game scripts are clean, controlled 1-0 and 2-0 wins.

This profiles as a game where France dictates the pace from the jump, Mbappe punishes a Paraguay side that struggles to threaten on the other end, and the final whistle sounds on a comfortable margin that never really felt in doubt.

As always, I'm not giving out picks, "locks," or anything like that. I'm simply breaking down games through the sportsbooks' odds and how they may see the matchup. Take the information however you wish, but none of this is a lock or pick, and focusing on that takes away from real discussion.

Once again the book hit the nail on the head with a 1-0 Colombia win last night.

Now onto Round of 16.

Morocco opens at -140 and the spread sits at -0.5, which sounds like a comfortable lean. Running this game 10,000 times off DK's own lines paints a more complicated picture. The most common scoreline is Morocco 1-0 at 14.9%, with a 0-0 draw at 11.7% and Morocco 1-1 at 10.9% right behind it. Three of the five most likely outcomes involve one goal or fewer.

The Morocco team total is where it gets interesting. The book prices Morocco over 1.5 goals at 48.0% implied. The runs land at 47.3%. That is nearly identical, meaning the book has Morocco's scoring ceiling priced about right. But when you pair that with the margin distribution, which shows 26.5% of runs ending in a one-goal Morocco win and 27.1% in a draw, you see that the path to Morocco covering -0.5 is genuinely tight. They win outright in 54.8% of runs, but a lot of those wins are by exactly one, which is exactly how you cover a -0.5 line and nothing more.

Canada's team total is the other side of that. The book prices them over 1.5 at 22.2% implied, the runs put it at 21.3%. Again, almost no gap. Canada is a 36% chance to finish with zero goals. They score exactly one in 43% of runs. The BTTS rate sits at 46.7% simulated versus 47.4% on the book, within rounding.

The Asian handicap at Canada +0.25 shows the widest divergence in the data: the runs produce a 38.5% cover rate against a book-implied 35.8%, a 2.7 point gap. That is the largest gap on the board, and it comes from the sheer volume of draws and one-goal results clustered at the top of the distribution. A quarter-ball line settles half-win on a draw, so every 0-0 and 1-1 and 2-2 matters a lot there.

What this shapes up as is a controlled, low-event game where Morocco wins more often than not but rarely runs away. The over case for 2.5 goals sits at just 23% in the runs. The blowout scenario exists, but the most likely version of this match is tight, grinding, and decided by a single goal or not at all.

As always, I'm not giving out picks, "locks," or anything like that. I'm simply breaking down games through the sportsbooks' odds and how they may see the matchup. Take the information however you wish, but none of this is a lock or pick, and focusing on that takes away from real discussion.

The Argentina game played out well enough to bust nearly every parlay. What a world class performance by Cape Verde and most importantly Vozinha.

As to the post game analysis, Messi opened the scoring as predicted and there was a slight edge on BTTS. Looking back, given that the third-most likely score was 0-1 Argentina and there was an edge on BTTS, the +700 might have been worth a play but hindsight is 20/20.

Now moving on to the last match of the Round of 32.

The Asian handicap ladder for Colombia vs Ghana is worth sitting with for a minute. Across 10,000 simulated matches on DK's own odds, Colombia covers -1 in 53.8% of runs. The book prices that at 57.2%. That 3.4 point gap is the widest divergence on the entire board, and it shows up consistently across the surrounding lines too: Colombia -0.75 comes in at 60.1% simulated versus 63.0% on the book, another 2.9 point gap.

The reason sits right in the scoreline distribution. The single most common result across all runs is Colombia winning 1-0, which happens 14.4% of the time. A 1-0 win means Colombia covers +1.5 but falls short of -1. The book prices the -1 line as if Colombia pushes to multi-goal wins more often than the runs suggest.

Colombia's team total tells the same story. They score 0 or 1 goal in 46% of runs combined, and the median total lands at 2 goals for the whole match. This is a game that sets up as a tight, controlled Colombia win far more than a comfortable cover.

Ghana are clearly outmatched here, with the model projecting them to score in fewer than half of simulated matches. But being outmatched is not the same as the favorite covering a -1 line. This distribution makes that difference clear: Ghana may struggle to create chances, but there still may not be enough separation for a multi-goal win.

As always, I'm not giving out picks, "locks," or anything like that. I'm simply breaking down games through the sportsbooks' odds and how they may see the matchup. Take the information however you wish, but none of this is a lock or pick, and focusing on that takes away from real discussion.

Another great game last night, this World Cup is spoiling us! The books mostly predicted it would be a one-goal game, but they also set the line at 2.5, which was further supported by the simulations landing on 2 as the median.

Egypt comes into this match as a meaningful favorite to advance, and on the surface that seems right. They win 41% of the time across 10,000 simulated games, Australia wins just 27.2%, and the gap feels comfortable. But the full picture is a lot messier than that.

The most common single scoreline is 0-0, landing in 15.6% of runs. Egypt 1-0 is next at 13.9%, followed by 1-1 at 12.0%. Three of the five most likely outcomes either end in a draw or an Australia result. The average margin across all runs is just -0.3 goals in Egypt's favor, with an 80% range spanning -2 to +1. This is not a game where Egypt is expected to run away with anything.

Australia's path to something here is real. They score at least one goal in 57% of runs, and the draw lands 31.8% of the time. At +265, Australia's win probability is essentially priced correctly by the book, and the draw at +195 is similarly tight. The Asian handicap line is where one gap surfaces: Australia at pick'em (0 handicap) covers 43.1% of simulated runs against a book implied rate of 39.6%, a +3.5 point gap worth understanding.

The story of this game is not Egypt controlling from the front. It is a low-scoring, contested match where the scoreless draw is the single most likely outcome, Mohamed Salah opens the scoring in just 10.5% of runs, and Australia is live in a way the casual matchup reading might not suggest.

As always, I'm not giving out picks, "locks," or anything like that. I'm simply breaking down games through the sportsbooks' odds and how they may see the matchup. Take the information however you wish, but none of this is a lock or pick, and focusing on that takes away from real discussion.

WHAT A GAME (for a neutral)! Heartbreaker for Croatia at the end but the game was predicted to start slow in the first half and end in a tie. What wasn't predicted was Croatia opening up the second half but ultimately Portugal got the job done. The game was tighter than the odds predicted.

Switzerland is a solid favorite vs Algeria, priced at roughly even money to win. But running this match 10,000 times off DK's own lines, the game that shows up most often is not a comfortable Swiss victory. It is a 1-0 Switzerland win, and it only happens 13.2% of the time.

The margin distribution fills in the picture. A Swiss win by exactly one goal covers 24.5% of runs. A draw lands in 29.5%. Algeria wins outright in 23.1% of simulated matches. Combine those and you get roughly 77% of games ending within one goal of level, in either direction. This is not a dominant favorite story. It is a one-goal-game story.

Algeria scores zero in 43% of runs, so their route to staying in it runs through defensive structure, not attacking output. Switzerland averages 2.6 total goals across all runs, but the median lands at 2 goals. The right tail, the blowout scripts, pulls the average up and can distort how comfortable this match feels on paper.

The pick'em handicap line at 0.5 goals is basically telling you the same thing the distribution does: most versions of this game are settled by a single goal, and almost a third of them are never settled at all.

As always, I'm not giving out picks, "locks," or anything like that. I'm simply breaking down games through the sportsbooks' odds and how they may see the matchup. Take the information however you wish, but none of this is a lock or pick, and focusing on that takes away from real discussion.

Hope everyone found the Spain/Austria analysis useful, it played out as the book predicted.

Now onto Croatia vs. Portugal. Running this game 10,000 times off DraftKings' own lines, the first half looks surprisingly balanced. Portugal wins the first 45 minutes in 41.3% of runs, but the half-draw lands in 40.8%. Those two outcomes are nearly coin-flip close, meaning Croatia survives the opening half with a draw roughly as often as Portugal leads.

The second half is where Portugal asserts themselves. Their second-half win rate climbs to 45.6%, and Croatia's drops to 18.1%. But here is the part worth sitting with: the second-half draw rate jumps to 36.4% compared to 35.0% in the book's implied price. Games that stay tight through 45 minutes have a real habit of ending that way.

The most common scoreline across all runs is Croatia 0-1 Portugal at 11.3%, followed by a 0-0 draw at 9.3% and a 1-1 at 9.0%. Three of the top five scorelines are one-goal games. Portugal's dominance in the win probability (56.5%) is real, but it is mostly built on grinding out narrow wins, not controlling both halves from start to finish.

This game profiles as one where Croatia is very much alive at halftime before Portugal slowly closes the door.

Will we have another set of penalties in the horizon? I hope not for the sake of Croatian and Portuguese fans.

As always, I'm not giving out picks, "locks," or anything like that. I'm simply breaking down games through the sportsbooks' odds and how they may see the matchup. Take the information however you wish, but none of this is a lock or pick, and focusing on that takes away from real discussion.

Unfortunately (meaning they priced it correctly) the book was dead-on in the US game yesterday, correctly predicting both half MLs and 2-0 but there was some blatant EV there, I hope the analysis helped you all in your research.

For today, Spain wins this matchup 75.7% of the time across 10,000 simulated games, and the average total lands at 3.4. But that average is doing some heavy lifting.

The three most common scorelines are Spain 2-0 at 13.3%, Spain 3-0 at 11.5%, and Spain 1-0 at 9.8%. All three sit under 3.5. Austria scores zero goals in 51% of runs, meaning the total leans almost entirely on Spain's output rather than any back-and-forth.

The distribution is right-skewed in a way that matters for the total. Austria never really contributes. The over case is driven by Spain reaching 4 or 5 goals in the blowout tail of the distribution, not by a two-goal game where both sides chip in.

So the total of 3.5 is not pricing a flowing, open game. It is pricing Spain dominance with occasional blowout upside dragging the average north. The median result across all runs is 3 goals, one full goal below the line.

As always, I'm not giving out picks, "locks," or anything like that. I'm simply breaking down games through the sportsbooks' odds and how they may see the matchup. Take the information however you wish, but none of this is a lock or pick, and focusing on that takes away from real discussion.

Most people pricing a -275 favorite assume the lead builds gradually. USA vs Bosnia & Herzegovina suggests something different is happening under the surface.

Running this game 10,000 times off DraftKings' own lines, USA wins the first half 56.9% of the time versus the book's implied 52.6%, a gap of 4.3 points. The second half tells a nearly identical story: USA wins it 60.1% of the time against the book's 54.9%, good for a 5.2-point gap. Both halves point the same direction, and the draw result in each half is where the book is overpriced. The simulated runs put first-half draws at 29.1% while the book implies 35.8%, a 6.7-point gap. Second-half draws sit at 25.2% against the book's 31.3%.

What that means practically is that the book is leaning harder on stalemate game states within each half than the runs support. The most common scoreline across all simulations is USA 2-0 at 13.1%, and the next three most frequent outcomes are all USA wins by one or two goals. Bosnia scores in 49% of runs.

This is less a game that grinds to halftime level and more one that USA controls from kickoff, in both halves, not just on the full-match line.

As always, I'm not giving out picks, "locks," or anything like that. I'm simply breaking down games through the sportsbooks' odds and how they may see the matchup. Take the information however you wish, but none of this is a lock or pick, and focusing on that takes away from real discussion.

The most common version of this game is straightforward. England win 2-0, which comes up in 16.7% of simulated runs, and DR Congo sit goalless in 63% of them. England on the ball, DR Congo defending, and the match playing out exactly as the price implies.

But the half-by-half breakdown is where the shape gets interesting. The draw lands in 34.2% of first-half runs across 10,000 simulations, but the book prices it closer to 39.1%. That 4.9 point gap is the widest single divergence on the whole board, and it points to England applying pressure earlier than the book expects. By the second half, the England win probability climbs to 61%, and again the book sits about 5 points below that at 56.2%.

The corner median of 10 reinforces that. DR Congo are projected to spend long stretches defending deep, and mainly England generating corners across all results including the close ones suggests sustained pressure rather than a quick-strike game. Corners pile up when one team is camped in the their opponents side.

So this profiles as a controlled, one-way traffic kind of game where England are likely doing damage earlier than neutral observers might assume, and DR Congo are absorbing it from deep the whole way through.

Nearly one in five simulated games between Ecuador and Mexico ends 0-0. 18.8%, the single most common scoreline across 10,000 runs. That number is worth sitting with, because it shapes everything downstream about how this match is expected to flow.

The corner median lands at 8, with the distribution heavily concentrated between 6 and 9. That is a modest total for a World Cup game with something at stake, and it fits the scoreline picture. When a game projects this many draws and low-scoring results, teams tend to be compact and patient rather than committing forward in waves. Ecuador projects to score at all in only 52.6% of simulations. Mexico does better at 67.2%, but their most common individual result is still 1 goal. The two teams combining for 0 or 1 goal happens in roughly 44% of runs.

The first half draw lands in 50.2% of runs, which is the dominant half-result by a wide margin. The second half draw follows at 46.4%. This game, at least as the book's own odds imply when you run them out thousands of times, looks like a slow burn that resolves late if it resolves at all. Raul Jimenez opening the scoring at 14.4% is the clearest individual lean, but even he represents a coin flip between "scores" and "does not."

Simulating France vs Sweden 10,000 times, the average total lands at 4.0 goals, but the most common scorelines are France 2-0 and France 3-0.

That matters because both sit under 3.5, which means the “over” case is not coming from the most common game scripts. It is being pulled upward by the right tail: the lower-frequency blowouts where France gets to 5, 6, or 7 goals.

Sweden is the swing point. They score 0 or 1 goal in 78% of runs, so the total depends much more on France running away with it than on Sweden consistently contributing.

So this profiles less like a clean over spot and more like France dominance with blowout risk. The favorite can be priced correctly, the average can still lean high, and the most likely individual outcomes can still sit under the number.