With the 2026 World Baseball Classic now underway as Australia kicks things off against Chinese Taipei (Let’s go Australia!), I wanted to share my modelling of how the tournament might unfold using a custom projection engine. Projecting the WBC presents a unique sabermetric challenge. Unlike a 162-game MLB season where true talent normalizes, the WBC is defined by extreme small-sample variance. A single bad inning from a middle reliever can entirely derail a powerhouse team’s tournament run. To build these projections, I established a baseline “true talent” run-scoring and run-prevention environment for each nation based on projected 2026 rosters. I then applied a modified Pythagorean Expectation model adapted for a micro-season, and ran 10,000 Monte Carlo simulations to accurately map out the probability curves of that small-sample variance. Because the First Round is only a 4-game sprint, running those 10,000 iterations allows the model to capture the heavy volatility inherent to the format. A team that projects as a true-talent .650 win% roster in a full baseball season might easily go 2-2 in this environment. For the knockout stages, I simulated matchup probabilities heavily weighted toward starting pitching depth and high-leverage bullpen availability to reflect strict tournament pitch counts. After running several verification and validation passes to properly calibrate the model, here is how the final numbers shook out: ### POOL A (San Juan, Puerto Rico) _Puerto Rico’s bullpen depth gives them the edge, while Canada’s balanced lineup helps them survive a chaotic, high-scoring pool._ |Team|W|L|PCT|GB|RUNS|AVG|HR|SB|RA|ERA|K|BB| |---|---|---|---|---|---|---|---|---|---|---|---|---| |**Puerto Rico**|3|1|.750|–|28|.275|6|4|14|3.25|42|12| |**Canada**|3|1|.750|–|26|.268|5|3|18|4.15|35|15| |**Cuba**|2|2|.500|1.0|22|.255|4|5|20|4.50|38|16| |**Panama**|1|3|.250|2.0|16|.240|2|6|24|5.40|31|18| |**Colombia**|1|3|.250|2.0|15|.235|3|2|31|6.75|29|20| ### POOL B (Houston, Texas) _Team USA projects to steamroll this pool with an overwhelming run differential, while Mexico secures the second ticket to the knockouts over a gritty Italy squad._ |Team|W|L|PCT|GB|RUNS|AVG|HR|SB|RA|ERA|K|BB| |---|---|---|---|---|---|---|---|---|---|---|---|---| |**United States**|4|0|1.000|–|35|.310|11|5|11|2.50|48|10| |**Mexico**|3|1|.750|1.0|24|.260|6|4|16|3.75|40|14| |**Italy**|2|2|.500|2.0|19|.250|4|2|22|5.00|34|15| |**Great Britain**|1|3|.250|3.0|14|.225|3|4|28|6.50|28|18| |**Brazil**|0|4|.000|4.0|9|.205|1|2|34|7.80|25|22| ### POOL C (Tokyo, Japan) _Samurai Japan’s pitching factory suppresses runs at a historic rate. Korea safely takes the second spot, surviving an always-dangerous Australian team._ |Team|W|L|PCT|GB|RUNS|AVG|HR|SB|RA|ERA|K|BB| |---|---|---|---|---|---|---|---|---|---|---|---|---| |**Japan**|4|0|1.000|–|32|.295|8|7|8|1.85|52|8| |**Korea**|3|1|.750|1.0|25|.270|5|5|15|3.50|39|12| |**Australia**|2|2|.500|2.0|18|.245|4|3|21|4.85|33|14| |**Chinese Taipei**|1|3|.250|3.0|17|.255|3|4|25|5.90|30|16| |**Czechia**|0|4|.000|4.0|10|.215|2|1|33|7.50|22|19| ### POOL D (Miami, Florida) _The “Group of Death.” The Dominican Republic and Venezuela edge out the Netherlands strictly due to superior strikeout rates (K/9) from their starting rotations._ |Team|W|L|PCT|GB|RUNS|AVG|HR|SB|RA|ERA|K|BB| |---|---|---|---|---|---|---|---|---|---|---|---|---| |**Dominican Rep.**|3|1|.750|–|31|.285|9|3|17|4.00|44|14| |**Venezuela**|3|1|.750|–|27|.272|7|4|15|3.50|41|12| |**Netherlands**|2|2|.500|1.0|20|.258|4|2|23|5.25|32|16| |**Israel**|1|3|.250|2.0|14|.230|3|1|26|6.00|30|17| |**Nicaragua**|1|3|.250|2.0|11|.220|1|2|29|6.85|26|19| --- ### KNOCKOUT STAGE PREDICTIONS Once the top two teams in each pool reach the single-elimination phase, roster depth becomes paramount. In the model, the United States and Japan separate themselves from the pack because their rotations allow them to weather the strict WBC pitch count limits without suffering a massive drop-off in talent when turning to the bullpen. |Round|Matchup|Predicted Winner|Score|Deciding Factor| |---|---|---|---|---| |**Quarterfinal 1**|Dominican Republic vs. Korea|**Dominican Republic**|7-3|Overwhelming power from the DR lineup| |**Quarterfinal 2**|United States vs. Canada|**United States**|8-2|U.S. rotation shuts down the Canadian offense| |**Quarterfinal 3**|Puerto Rico vs. Mexico|**Puerto Rico**|5-4|Strong bullpen execution in the late innings| |**Quarterfinal 4**|Japan vs. Venezuela|**Japan**|4-1|Dominant starting pitching from Samurai Japan| |**Semifinal 1**|United States vs. Dominican Rep.|**United States**|6-5|Late-inning clutch hitting overcomes DR sluggers| |**Semifinal 2**|Japan vs. Puerto Rico|**Japan**|5-2|Relentless, balanced offensive attack| |**Championship**|United States vs. Japan|**United States**|4-3|U.S. pitching depth suppresses Japan’s bats| --- ### TOP HITTERS _Stats reflect a maximum 7-game sample size based on deep tournament runs._ |Player|Team|G|AB|HR|RBI|SB|AVG|OBP|SLG| |---|---|---|---|---|---|---|---|---|---| |A. Judge|USA|7|26|4|10|1|.385|.484|.846| |S. Ohtani|JPN|7|24|3|8|2|.417|.548|.792| |J. Soto|DOM|6|20|3|7|0|.400|.556|.850| |M. Murakami|JPN|7|25|3|9|0|.360|.467|.720| |V. Guerrero Jr.|DOM|6|22|2|8|0|.364|.440|.636| |B. Harper|USA|7|25|2|6|1|.320|.414|.560| ### TOP PITCHERS _These projections mathematically account for the WBC’s strict pitch count rules (First Round: 65 pitches, QF: 80 pitches, SF/Final: 95 pitches) as well as any known team-enforced limits. For example while Tarik Skubal is arguably the top arm in the tournament, he is excluded from the cumulative leaders list due to his confirmed one-game usage limit. For those that have no limits, the pitch count restrictions mean that even an ace making a deep run to the Championship game is realistically capped at three starts and a rough maximum 15 total innings._ |Player|Team|G|W|L|S|ERA|IP|HA|BB|K|K/9| |---|---|---|---|---|---|---|---|---|---|---|---| |P. Skenes|USA|2|2|0|0|1.35|11.0|6|3|18|14.72| |Y. Yamamoto|JPN|3|2|0|0|1.50|14.2|8|3|20|12.27| |L. Webb|USA|3|2|0|0|1.80|15.0|10|2|14|8.40| |H. Itoh|JPN|2|1|0|0|2.08|11.0|8|2|12|9.81| |Y. Kikuchi|JPN|2|1|0|0|2.25|10.0|7|3|11|9.90| |E. Díaz|PUR|5|0|0|4|0.00|5.0|2|1|11|19.80| Curious to hear from the community: Where do you think this simulation model misses the mark? Does the strict pitch-count format actually favor bullpen-heavy rosters like Puerto Rico more than the model projects, or will the starter-heavy approaches of Team USA and Japan hold up? Keen to hear everyone’s thoughts and predictions!