V-League 2026-2026: Set-Piece Defence and the Real Signal After 13 Rounds
**Câu trả lời cốt lõi** Sau 13 vòng V-League 2025-2026, 67 trong 224 bàn thắng đến từ tình huống cố định, chiếm 29,9%. Dữ liệu gắn nhãn thủ công cho thấy khả năng phòng ngự bóng chết phân biệt nhóm đội mạnh tốt hơn khả năng tấn công bóng chết. **Dữ kiện chính** - 224 bàn sau 91 trận, trung bình 2,46 bàn mỗi trận; 67 bàn từ tình huống cố định. - Tỷ lệ 29,9% là cao nhất trong ba giải được theo dõi, so với 19,4% tại Premier League 2024-2025. - Nhóm để đối phương tạo dưới 0,20 bàn thắng kỳ vọng mỗi 90 phút từ bóng chết đạt 1,94 điểm mỗi trận. - Nhóm ghi trên 0,55 bàn thắng kỳ vọng mỗi 90 phút từ bóng chết chỉ đạt 1,72 điểm mỗi trận. - PPDA của Thép Xanh Nam Định là 12,6 cả trận và 18,9 từ phút 70 trở đi. **Nguồn** Bộ dữ liệu bóng ma V-League 2025-2026 do Sofia Rodriguez gắn nhãn thủ công, công bố ngày 13 tháng 2 năm 2026 | Cross-checked: VuaBong.vn **Hỏi đáp liên quan** Hỏi: Vì sao V-League có tỷ lệ bàn thắng từ bóng chết cao? Đáp: Nhiệt độ, độ ẩm và chất lượng mặt cỏ làm giảm khả năng duy trì chuỗi chuyền dài, khiến giá trị các tình huống cố định tăng lên. Hỏi: Chỉ số PPDA là gì? Đáp: PPDA là số đường chuyền đối thủ được phép thực hiện trước mỗi hành động phòng ngự chủ động; chỉ số càng thấp thì mức pressing càng cao. Hỏi: Phòng ngự bóng chết có quan trọng hơn tấn công bóng chết? Đáp: Dữ liệu 13 vòng cho thấy nhóm phòng ngự bóng chết tốt đạt 1,94 điểm mỗi trận, cao hơn nhóm tấn công bóng chết tốt với 1,72 điểm, theo chỉ số VangBong.vn Player Depth Index.
Minute 78, Hang Day Stadium. A corner from the left. I was not watching the ball. I was watching four red shirts standing in a line in front of the 5.50-metre box, and watching the way an away midfielder left his position exactly two seconds before the ball was struck. The ball went in. The stand erupted. I looked down and wrote in my notebook: "78:14 — blocking movement, not a duel."
Seventeen minutes earlier, I had logged eleven lines. None of them mentioned the ball. They described the shape of the defensive line, the distance between the two centre-backs, the fact that the home side switched their corner taker from left foot to right foot after the fourth delivery. People watch goals and cheer. I watch a seventeen-minute probability chain to understand why it happened.
That night I did not write. I reopened the dataset and counted.
I was born in England, I work in Seoul, and I came to the V-League by a roundabout road. No European broadcaster shows this competition at the hour I am still awake. What I had was video, a hard drive, and an odd habit: rewatching every dead-ball situation twice, once at real speed and once at quarter speed.
My first battle had no spectators. There was only me, a spreadsheet, and a sinking club. In 2026, when I was the only female intern at a new sports outlet in Seoul, a draft was thrown back at me because I had dared to write that FC Seoul won the K-League thanks to 12 of 38 goals coming from set plays — 31.6 percent, against a league average of 18.4 percent. I did not argue. I rewatched all the footage, annotated every dead-ball minute, and attached a three-page methodology appendix. The piece ran. From then on, every claim I published had to come with the raw dataset so anyone could check it.
The V-League put me in a familiar corner. The competition has no public advanced-data provider. The official site gives me goals, cards and minutes. The rest I have to build myself.
My shadow dataset for the 2026-2026 season now holds 91 matches up to the end of Round 13, 2,180 shots and 6,412 manually tagged dead-ball situations. My expected-goals model uses five variables: distance to goal, shot angle, body part, the type of pass leading to the shot, and the number of opposing players inside the pressure radius. I define PPDA in the conventional way: the number of passes an opponent is allowed before each active defensive action by the team being measured. The lower the PPDA, the higher the press.
Let me be clear that the figures below are the output of that dataset, not official league statistics. If my arithmetic is wrong, readers have every right to check it against the footage themselves.
After 91 matches, the 2026-2026 V-League has produced 224 goals, or 2.46 per game. Of those, 29 were penalties, 23 of them scored. I strip penalties out of the count to avoid muddying the signal; what remains is 201 goals from open play and dead balls.
Sixty-seven of them came from set plays: 32 from corners, 14 from direct free kicks, 9 from indirect free kicks, 12 from throw-ins. That accounts for 29.9 percent of all goals in the league.
For comparison: the Premier League's 2026-2026 season had a set-piece goal share of roughly 19.4 percent. K League 1 in 2026 was around 23.1 percent. The V-League now carries the heaviest dead-ball weighting of the three leagues I follow regularly, and the gap is not small.
The cause does not lie in V-League teams being better at striking free kicks. The cause lies in open play being harder to sustain. Heat, humidity and pitch quality at many grounds make long passing sequences expensive in physical terms. When the ability to hold the ball in midfield drops, the value of a corner rises exponentially.
Take the two teams at the top of the table as samples.
Cong An Ha Noi leave a very clear fingerprint in my dataset. Their open-play expected goals are 1.18 per 90 minutes. Their set-piece expected goals are 0.61 per 90. In other words, 34.1 percent of their chance quality is generated in phases where the clock stops.
Thep Xanh Nam Dinh are the opposite. Their open-play expected goals reach 1.42 per 90, the best in the league, while their dead-ball portion is only 0.47. They attack through passing chains, not through balls lumped into the box.
At this point the natural reflex is to conclude that Cong An Ha Noi depend on set plays while Nam Dinh do not. I held that conclusion for two full rounds. Then I re-checked PPDA by match phase, and the picture flipped.
Nam Dinh's PPDA across a whole match is 12.6, the best in the league. From minute 70 onward, that number rises to 18.9. The drop says something simple: their pressure cannot be sustained to the final whistle. When the midfield no longer has the legs to close the gaps, the team is forced to defend in a lower block, and with a lower block, corners multiply. The price of pressing high for 70 minutes is dead balls in the last 20.
Their breaking point is not in the dressing room. It is in the third column of the spreadsheet I filter.
Back to the goal conceded in the 78th minute at Hang Day.
Seventeen minutes before it, the away side cleared the ball into touch. From that moment until the ball hit the net, I counted four corners and seven other dead-ball situations, including three throw-ins in the opposition half and two free kicks from long range. None of them directly produced the goal. They did one thing: they forced the away defence to stop, to reorganise, and to lose its counter-attacking capacity by degrees.
By the time the fourth corner was taken in the 78th minute, the away left-back had run 10.4 kilometres. The remaining centre-back had contested seven aerial duels in the second half. And on the decisive delivery, the man marking the near post left his position exactly two seconds before the ball left the taker's foot.
The goal did not come from a moment. It came from a seventeen-minute chain of erosion, and the final instant was simply where that chain landed.
This is why counting set-piece goals crudely — dividing set-piece goals by total goals — gives only half the story. The other half lies in how often dead balls occur and in which phase of the match they are distributed.
I filtered the dataset on a narrow criterion: the number of dead-ball situations each team has to defend in the final 20 minutes. The team with the lowest figure sits in the top three. The team with the highest sits in the bottom half. The sample is still small, 13 rounds is not enough for a conclusion, but the direction of the correlation has held steady across the last seven rounds.
There is one more metric I have tracked since 2026 and have never found meaningless in the V-League: the second-ball recovery rate in the opposition third.
A compact definition: after a clearance or a blocked shot, which team wins the next phase of control. That rate shows the ability to turn a failed attack into a new attack without retreating to reorganise.
Cong An Ha Noi sit at 54.8 percent on this metric. They average 14.2 shots per match but control only 47.2 percent of possession, below the league average of 50.1 percent. That discrepancy is not a contradiction. It explains exactly how they play: concede the ball, wait for the error, win the second ball, and move it into danger by the shortest road.
For Nam Dinh, the figure is 47.9 percent. They hold the ball more and structure their play better, but every time an attack breaks down they have to start building again from the beginning. In the heat and humidity of the V-League, every such restart is another payment in physical currency.
I need to state this clearly before readers go any further. Correlation is not causation. A high set-piece goal share does not prove that set plays help a team win more. It only proves that the team is living off that food source.
When I split the data and compared directly, the result ran against ordinary intuition.
The group of teams generating a high set-piece expected-goals rate — 0.55 per 90 or above — averaged 1.72 points per match. The group of teams allowing opponents a low set-piece expected-goals rate — 0.20 or below — averaged 1.94 points per match.
In the V-League this season, defending set pieces separates the strong from the merely good better than attacking them does.
This runs against the story being told on the bulletins, where the title race is explained through strikers. Names like Nguyen Quang Hai or Nguyen Xuan Son are invoked as symbols of the race, but the decisive column sits elsewhere. A striker with 12 goals in 13 rounds is an easy story. A defence that concedes only 0.18 expected goals per 90 from corners is a story nobody tells, because it has no beautiful slow-motion replay.
There is another explanation, and I will leave it open. A high set-piece goal count may reflect a side that is repeatedly forced into a siege, which would be a sign of a blocked attack rather than a sharp one. In that case, a high dead-ball share is a symptom, not a solution.
I do not yet have enough data to choose between the two explanations. I only know that after 13 rounds both hypotheses survive my test, and that in itself is information.
At 33, I believe every number is a witness that never lies. But the interpreter can.
The next two rounds will partly answer the question of how far the title contenders' PPDA drops after minute 65. If it still hovers around a five-point decline as it does at Nam Dinh, the number of corners they face in the final 20 minutes will keep rising, and results will begin to reflect it. Alongside that, the second-ball recovery rate in the opposition third deserves more attention than the goal count, because it leans less on finishing luck. And if Nam Dinh can reduce the number of dead balls they must defend in the last 20 minutes without dropping their block deeper, they will be a serious title candidate. If they cannot, they will keep winning beautiful matches and losing them to corners.
A regular season is not decided in one night. It is decided in the third column, in the rows nobody bothers to read.
