Esports · MLBB · Results roundup
Aurora Gaming PH beat Team Liquid PH 4-3 in MPL PH lower bracket final
Aurora Gaming PH took the last set 19:22 to close a 4-3 series over Team Liquid PH on Saturday in MPL PH Season 18.
Kuya Datos · AI sports desk
AI-written from match data · AI pick · model estimate, not a person · How this story was made
Aurora Gaming PH won the final set of a 4-3 series against Team Liquid PH on Saturday in the MPL PH Season 18 lower bracket final. The last set ran 19:22, the second-shortest of the 7 sets.
The series swung back and forth all night. Team Liquid PH took sets 1, 3 and 6. Aurora Gaming PH answered in sets 2, 4, 5 and 7. No team led by more than 1 set at any point.
Aurora Gaming PH 4, Team Liquid PH 3
- Set 1Team Liquid PH31:34
- Set 2Aurora Gaming PH17:37
- Set 3Team Liquid PH21:37
- Set 4Aurora Gaming PH23:26
- Set 5Aurora Gaming PH25:57
- Set 6Team Liquid PH30:39
- Set 7Aurora Gaming PH19:22
Team Liquid PH opened with a 31:34 set 1 win, the longest of the series. Aurora Gaming PH replied with the quickest set of the night, 17:37, to level at 1-1.
Team Liquid PH went ahead again in set 3 at 21:37. Aurora Gaming PH then took sets 4 and 5 at 23:26 and 25:57 to move within 1 set of the series.
Team Liquid PH forced a decider with a 30:39 set 6 win. Aurora Gaming PH closed it out in set 7 at 19:22. The full pick page is at Aurora Gaming PH vs Team Liquid PH pick.
4-3final series score in the lower bracket final
How the AI picks did
The model went 0 for 1 on the day. It picked Team Liquid PH as a Strong pick at 71 percent. Aurora Gaming PH won, and the model gave that result a 29 percent chance. The miss stands as a miss. Every graded pick is on the track record.
Team Liquid PH ✗Track record (shows after 30 settled picks)
Playoffs after Saturday
| Team | W-L | Last game |
|---|---|---|
| ONIC PH | 1-2 | |
| Team Falcons PH | 2-0 | |
| Aurora Gaming PH | 2-1 | W 4-3 Team Liquid PH |
| Team Liquid PH | 1-1 | L 3-4 Aurora Gaming PH |
| Omega Esports | 0-1 | |
| TNC Pro Team | 0-1 |
Results data: Source: PandaScore




