AOE2TEAMTEAM ANALYTICS · TEAMEDGETeam games are not just several 1v1 matches played at once. Army choices, age timings, production and pressure need to be read together to understand how each player contributed, whether allied roles complemented one another and where the team lost efficiency.
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Compare what both teams actually produced, not only total army value. Ask whether the unit lines counter the opponent, cover allied weaknesses and stay useful as the game moves into later ages. In a team game, a support unit can be valuable because it protects an ally's main damage line.
Feudal and Castle timings show when each player converted economy into new units and technologies. Compare timings across allies, but keep their roles in mind: a pocket and a pressured flank may have intentionally different transitions even when the team plan is working.
Military production value and resource use help distinguish an army plan from sustained execution. Read totals with match duration, age progression and composition instead of treating the largest number as automatically better. A strong plan still needs continuous production to create pressure.
Replay events and command activity can show when a player became more or less active. They are evidence signals, not a substitute for battlefield context. Ask whether activity produced army, development, pressure or support rather than ranking players by input volume alone.
Team analysis should identify how the players' choices fit together. One player may provide mobility, another ranged damage, siege or a counter line. The important question is whether the combined team composition covers the threats it faces, not whether every player individually builds every answer.
A useful review ends with one concrete target for the next match. AOE2TEAM uses TeamEdge to compare replay-derived evidence and surface a practical priority rather than presenting raw statistics without a decision.
When reviewing a team replay, identify each player's likely job in the match, then compare the age and army decisions that supported it. A lower military total can be reasonable when a player invested in economy or a complementary unit while an ally carried the main damage role. The comparison becomes useful when it explains whether those choices worked together.
Next, inspect the opponent's composition and the team's response. If both allies keep producing units that share the same weakness, the problem may be composition rather than execution. If the composition is sound but production or pressure is delayed, the next target is different.
AOE2TEAM analyzes replay-derived information such as age progression, unit production, military value, commands and trusted pressure events when those signals are available. TeamEdge then turns that evidence into a focused improvement target while keeping unsupported facts unavailable.
Start from a player profile, choose a recent team match and inspect both the team comparison and individual player details. The useful question is not who has the biggest raw number; it is which measurable difference best explains what the team should change next.