Katy, Texas and 43 out of 56: Reading the ITTF Americas U11 & U13 Medal Table Through the Home-Field Variable

Fifty-six medals were on offer at the 2026 ITTF Americas U11 & U13 Championships. Forty-three of them went to a single country: 14 gold, 11 silver, 18 bronze, equal to 76.8% of every medal awarded at the tournament. All seven U13 events ended with a host-nation athlete at the top of the podium. The venue: Katy, Texas. I wrote those two lines down before writing anything else, out of professional habit. In January 2026, while working as a data analyst in Munich, I published a 14-page report on TSV 1860 Munich: an average xG of 0.78 per match, the lowest in five years of the 2. Bundesliga. The local press mocked it, because 1860 Munich were far more popular than most of their rivals. On May 28, 2026, the club lost its relegation play-off, dropped to the fourth tier and lost its licence. The editor-in-chief who had mocked me later called to commission a series on decoding relegation-battle data. I mention that for a technical reason, not to congratulate myself. A final result explains very little about the process that produced it. To read 43 out of 56 correctly, you have to know where this event sits in the competitive system, who was actually inside the hall in Katy, and how many percentage points of that number were contributed by home advantage. What this event actually is The ITTF Americas U11 & U13 Championships is a continental championship run by the Americas federation, split into two age brackets: Hopes for U11 and Mini-Cadet for U13. Within the ITTF system it sits at the bottom of the pyramid, below WTT Youth events, below the world junior championships, and carries no senior ranking points. There is no prize money. Entry is restricted to ITTF Americas member associations, meaning the Pan-American region. The structure of the event is visible in the arithmetic. Seven U13 events plus seven U11 events makes 14. Each event awards one gold and one silver. In doubles and team events, both losing semi-finalists receive bronze, with no separate bronze-medal match. Multiply it out: 14 gold, 14 silver, 28 bronze, exactly 56 medals. The figure of 56 matches the published data precisely, and that is the first self-consistency check I run. I verify the arithmetic before analysing anything, a habit I acquired in the summer of 2026. Ahead of the World Cup round of 16 between Japan and Belgium on July 2, 2026, I published an analysis warning that Japan were pressing with a PPDA of 9.8, meaning they allowed fewer than ten opposition passes before engaging. Japan led 2-0 in the second half that day and lost 3-2 to a series of rapid counter-attacks. Japan's PPDA of 6.2 in 2026 was not an accident; it was a manifesto written in numbers. But that manifesto described the risk level of a tactical choice, not the absolute class of a team. That distinction applies in full to the medal table in Katy. A high medal conversion rate is data about outcomes. It is not automatically data about technical level, and it is certainly not data about the gap to the rest of the world. The host city is the first variable I put into the spreadsheet. I am not speculating here, because I have my own numbers. In May 2026, when the Bundesliga restarted behind closed doors, I tracked all 81 remaining matches of the season. The home win rate fell from 42.4% to 24.7%. The summer of 2026 emptied the stands but filled the data sheet; it turned out football had been missing something. I sent an urgent recommendation to SV Darmstadt 98, then fighting relegation: press high away from home, because home advantage had disappeared. They won four of six away matches and survived. Since then, every analysis I write carries one mandatory line: the crowd condition. Katy was not an empty hall. Katy was a full hall of home spectators, with no long flights, no jet lag, no unfamiliar practice tables, no unfamiliar officials. For a tournament in which 43 of 56 medals went to the host nation, that variable cannot be pushed into a footnote. The medal arithmetic: 14 out of 14 The host delegation's gold conversion rate was 14 out of 14, or 100%. Its overall medal conversion rate was 43 out of 56, or 76.8%. These are two different metrics carrying two different meanings, so I separate them. A 100% gold rate says that in all seven U13 events, no other association in the continent reached the top step. A 76.8% medal rate says the remaining 13 medals were spread thinly across the rest of the continent, with no sign of a single regional rival absorbing the bulk of what was left. If Brazil, Canada or Puerto Rico were a genuine second force at this age, we would expect them named alongside specific medal counts. No other association is named at all. The medal structure also leaves a noteworthy technical trace: 18 bronze is more than 11 silver. Under a format where both losing semi-finalists take bronze, a delegation with real depth accumulates bronze faster than silver, because bronze rewards reaching a semi-final rather than winning one. The figure of 18 sits exactly where the model predicts: the host delegation placed two entries deep in many doubles and team events, and lost at precisely the round where those two entries met each other or met a stronger pair. In other words, 18 bronze medals are evidence of depth, not of peak quality. Depth at U11 and U13 is a positive signal for a development system, but it is a signal about the number of athletes good enough to enter, not about the quality of the best one. And here is the largest gap in the entire release: not a single athlete is named. Not one individual. In a report about 43 medals, there is not a single competitor's name. For a data analyst, that is a concrete loss rather than a minor detail. My indicator in the 1860 Munich report had value because the unit of analysis was small enough to be diagnostic: xG per match, per team, per 90 minutes. A nation's medal share at a continental event does not operate at that resolution. From aggregate data I cannot build an age curve, cannot build a development curve, cannot compare two athletes in the same cohort, and therefore cannot convert the number into a forecast. Based on my experience tracking matches, an indicator only has value when it attaches to a unit of observation small enough to distinguish cause from outcome. The fact that the release is written at programme level rather than individual level has two reasonable explanations, and I do not choose decisively between them. The first: protecting minors from media pressure and from being labelled too early. The second: promoting the system rather than a star. Both are mature communications choices. But both lead to the same analytical consequence: this edition cannot be tracked at individual level, and its reference value is therefore limited to a single season. One further detail deserves to be separated out. All seven U13 events were swept, while the combined medal total across both brackets is 43. From the published data I cannot determine how the remaining medals were distributed between U11 and U13. The most plausible hypothesis is that the host delegation's relative depth at U13 exceeds its depth at U11, or that U11 medals were distributed differently. Neither hypothesis has been tested, so I leave them as hypotheses. The Katy variable: how 76.8% was produced If this tournament featured roughly ten to twelve member associations of broadly comparable strength, a random distribution would give each around 8 to 10% of the medals. Even granting that the United States has the strongest youth table tennis programme in the region, the gap between strongest and 76.8% is the space where the home-field variable lives. I have a direct comparison to quantify that space. In 2026, with the stands empty, home advantage in football fell from 42.4% and bottomed out at 24.7%. That 17.7 percentage point swing did not come from teams suddenly playing better or worse over three months. It came from an external variable being removed. The mechanism of home advantage in any contested sport can be listed: crowds influence officials' perception at marginal calls, athletes avoid travel, avoid adapting to new living conditions, sleep in the right time zone, eat on the right rhythm. In table tennis, that mechanism is cruder than in football, and I say that as someone who played with a bat competitively before moving into analysis. Airflow in a hall changes the flight of the ball. The bounce and friction of the floor change footwork rhythm in long rallies. The intensity and direction of the lighting change the moment of the ball toss on serve, and a service motion calibrated to one's own ceiling drifts under a different one. Added together, those factors produce a meaningful advantage at an age when technique is still forming and error margins are wide. I have no data to separate the contribution of the Katy variable from the contribution of coaching quality. I can only assert that the variable exists, that its mechanism is clear, and that it cannot be ignored. The correct test is to compare the same development system at home and away across multiple editions. The current release provides no data for that comparison. One more check belongs on the table: the quality of the rest of the field. If the 13 medals that did not go to the host delegation were spread evenly across several smaller associations, then the regional field at this age is relatively thin, and the 76.8% reflects both the strength of the host and the thinness of the opposition. Those two causes compound rather than exclude each other. With the available data I cannot allocate weight between them, and I refuse to produce a figure for a portion I have not measured. The counter-intuitive angle: three blind spots in reading 76.8% The first blind spot is a scope error. 76.8% is a regional figure, in a very young age bracket. It says nothing about the gap to Asian or European table tennis at the same age, and less about senior national teams. Reading this number as a statement about global youth standing commits exactly the error I made when I still believed an indicator was a verdict. Fate was written in advance; we simply need enough data to read it. But the data must match the scope. A continental medal table cannot read global fate. The second blind spot is data provenance. Every figure in the release, 43, 56, 14 gold, 11 silver, 18 bronze, carries no independent verification. This is common with federation-issued statements, and I register it as a reporting-quality flag rather than an accusation. At this stage, the correct handling is to accept the totals conditionally and to state clearly that the data is pending reconciliation with ITTF Americas' official records. If that reconciliation produces a different number, the entire conversion-rate analysis has to be recalculated. The third blind spot is age-group conversion. Results at U11 and U13 are development indicators, not competitive-value indicators. The real bottleneck sits at U15 and U19, where academic pressure, school sport and dropout bite hardest. Many age-group champions never appear on a senior podium. A 14-out-of-14 sweep at U13 predicts nothing about senior podiums. It predicts exactly one thing: this cohort deserves a long-term tracking list. One more detail deserves to sit in its proper place. The United States national team coach, Tim Wang, explained the results through focus, determination and fighting for every point. That is a psychological description, not a technical one. It cannot be converted into conclusions about a technical system, about first-three-ball structure, or about rally construction. I leave that sentence where it belongs: in the quotation. Where no number stands behind a claim, the honest move is silence. Finally, a technical note on the medal arithmetic itself. The total of 56 holds only if every doubles and team event operates without a bronze-medal match. If the organisers applied a bronze-match format in a few events, the silver and bronze totals shift, and the 76.8% shifts with them. This is a minor accounting ambiguity that does not affect the broad conclusion, but it is enough for me to flag it for reconciliation against the official draw. My technical conclusion is as follows. The release describes a positive development outcome at programme level. The most credible indicator in it is 14 out of 14 at U13, and that indicator should be read as a depth signal from a single academy at a single age band, at a regional event, on home soil. The 76.8% figure is valid as a measure of regional dominance and invalid as a measure of global standing. What to watch Three signals will determine whether Katy 2026 is an isolated data point or the first point of a trend. First, the conversion rate of this U13 cohort to U15 and U19 podiums over the next 12 to 36 months. If any athlete from the swept U13 group appears on a world junior podium, the depth hypothesis is confirmed beyond the regional scope. If not, Katy was simply a good season. Second, the gold gap to the rest of the continent in the next edition. If Brazil, Canada, Puerto Rico or another association narrows the gold gap, the 2026 result is cyclical. If the gap holds or widens, it is structural. Third, continuity of hosting on United States soil. If ITTF Americas keeps placing the continental youth championship in American cities, the real effect will not lie in the medal table but in the domestic competition circuit gradually built around those hostings. When the stands fall silent, the sound of keys being pressed on a calculator becomes clearer. In Katy, the stands were still loud, and so the calculation still holds one unknown. The next edition will show whether that unknown is capability or geography.