Match ended with Team 1 surrendering against Team 2.
Atacama · microRm 1v117m 44s
AoEwhathappend · Share card
Match #243567662 · Rm 1v1 · Atacama
Match MVP
3che
Jin Dynasty·Team 2win
Dominated military engagements, created significant unit value, and maintained strong economy.
9.5/ 10
15.9K
Resources gathered
7,210
Army value created
80%
Trade efficiency
95
APM
Team 1
loss
Lost after surrendering against Team 2.
D00m3d5789
490 rating
Team 2
win
Victory achieved by Team 2 leading to Team 1's surrender.
3che
646 rating
Standouts
Match awards
Evidence-weighted scores calculated consistently from value trades, economy, military contribution, technology, spending, and result. AI explains the ratings but does not choose them.
Most Valuable Player
3che
9.5
Dominated military engagements, created significant unit value, and maintained strong economy.
Standout Performance
D00m3d5789
2.9
Managed economy effectively but struggled with military engagements.
Match tempo
Key timeline
17:44 total
0:004:268:5213:1817:44
D00m3d5789
1 key events
3che
2 key events
The most important timing gap occurred at 762 seconds, when 3che advanced to Castle Age while D00m3d5789 remained in Feudal Age, allowing Team 2 to leverage superior military technology.
Match flow
Score momentum
How each player's total score developed across the match.
Select a player to show or hide their line.
Exact telemetry
Head-to-head numbers
The performance score prioritizes resource-value trades and conversion. Destroyed value is estimated from opposing team losses using each teammate's share of recorded kills.
Player
Performance
Est. value destroyed
Unit value lost
Trade efficiency
APM
Unit kills
Units lost
K/D
Feudal
Castle
Imperial
Military
Economy
D00m3d5789
2.9 / 10
1,500
5,980
20%
126
19
43
0.44
4:17
—
—
68
434
3che
9.5 / 10
5,980
1,500
80%
95
43
19
2.26
3:49
12:42
—
982
870
Economy
Resources and army economy
Player
Gathered
Spent
Food
Wood
Gold
Stone
Olive oil
Units produced
Units lost
Loss rate
Upgrades
D00m3d5789
13,490
9,469
6,695
3,805
2,990
0
0
67
43
64%
5
3che
15,885
14,715
8,248
2,332
5,305
0
0
71
19
27%
7
Exact replay counts
Units created and killed
Every recorded military and economic unit, using complete production and loss totals.
72 created/43 destroyed/5,980 value lost
Villager
French
50
/
21
Royal Knight
French
20
/
20
Scout
French
2
/
2
Exact replay counts
Buildings constructed and destroyed
Every recorded structure, including landmarks, with complete construction and destruction totals.
19 built/2 destroyed/125 value lost
House
French
7
/
0
Mill
French
5
/
1
Outpost
French
2
/
1
Capital Town Center
French
1
/
0
Mining Camp
French
1
/
0
School of Cavalry
French
1
/
0
Lumber Camp
French
1
/
0
Market
French
1
/
0
Match data
Head-to-Head Stats
Comparison of players' metrics during the match.
Player
APM (Actions Per Minute)
Feudal Age Timing (Seconds)
Castle Age Timing (Seconds)
Imperial Age Timing (Seconds)
Military Score
Economy Score
Total Resources Spent
D00m3d5789
126
257
—
—
68
434
9469
3che
95
229
762
—
982
870
14715
Match data
Combat Stats
Summary of kills and deaths during the match.
Player
Player Name
Kills
Deaths
K/D Ratio
D00m3d5789
19
22
0.86
—
3che
24
19
1.26
—
Tactical read
Opening Strategy
Both players executed their civilization-specific strategies effectively during the early game.
D00m3d5789's Strategy
Focused on cavalry production with the School of Cavalry and improved villager efficiency through economic upgrades.
Evidence: Aged to Feudal Age at 257 seconds and produced Royal Knights.
3che's Approach
Leveraged Jin Dynasty's Mounted Villagers and early cavalry pressure, transitioning to advanced military options quickly.
Evidence: Aged to Feudal Age at 229 seconds and constructed a Great Pasture.
Tactical read
Military Engagements
Military confrontations favored 3che significantly, showing a stronger army composition and better trades.
Engagement Outcomes
3che achieved a K/D ratio of 1.26, significantly out-performing D00m3d5789.
Evidence: 19 deaths for D00m3d5789 versus 24 kills for 3che.
Value in Losses
3che had a military score of 982 compared to D00m3d5789's score of 68.
Evidence: Greater unit value was created and maintained by 3che.
Tactical read
Economy and Technological Advancements
Team 2 maintained a superior economy that facilitated their victory through advanced technologies and unit production.
Economic Advantages
3che gathered 15,885 total resources, significantly surpassing D00m3d5789's profit of 13,490 resources.
Evidence: Total resources gathered at match end.
Technology Upgrades
3che advanced to Castle Age and then to Imperial Age, gaining stronger units and upgrades.
Evidence: Aged up to Castle Age at 762 seconds.
Tactical read
Match Verdict
Team 2's victory was secured through superior economic management, better military engagements, and timely technological advancements while Team 1 suffered from ineffective military trades and slower transitions in the game.
Winning Strengths
Sustained economic lead and unit production allowed 3che to out-manoeuvre their opponent.
Evidence: Significantly higher military score and resource gathered.
Losing Mistakes
Delayed crucial military production and insufficient transitions in technology contributed to D00m3d5789's defeat.
Evidence: Sluggish responses to military threats resulting in high unit losses.
More from the match
Landmarks, relics, and attrition
Landmark and age-up choices
D00m3d5789 built the School of Cavalry landmark for military production, while 3che constructed the Great Pasture and Dragon Pavilion for unit spawning and advanced military capabilities. Both players started with a Capital Town Center.
Player
Age II
Age III
Age IV
D00m3d5789
—
—
3che
—
Relic control
D00m3d5789: 03che: 0
No relics were collected during the match.
Attrition and conversion
Coaching notes
Player reports
D00m3d5789
Had a challenging match, primarily due to military engagements that did not favor their strategy.
126
APM
0.86
K/D
5
Upgrades
What they did
Focused on cavalry production via the School of Cavalry and aging up to the Feudal Age efficiently. Constructed multiple Town Centers and upgraded economic capabilities, but struggled to adapt when pressed militarily.
High APM of 126 reflecting solid engagement practices.
Effective use of economic upgrades to increase resource intake.
3che
Dominated the match through effective cavalry pressure and technological advancements.
95
APM
1.26
K/D
7
Upgrades
What they did
Established early military pressure using Mounted Villagers and assembled a robust army while advancing ages promptly. Constructed the Dragon Pavilion to secure additional military power as the game transitioned to late stages.
Excellent military engagement record with a K/D ratio of 1.26.
Effectively utilized civilization bonuses for economic and military growth.
Integrity screen
Integrity Score: Clear
clear
All player actions and metrics were assessed with no discrepancies observed.
D00m3d5789
clear
Telemetry supports actions and decisions made throughout the match.
3che
clear
Player's actions, including military engagements, are backed by recorded data without anomalies.
Both players performed within expected ranges of their civilization capabilities and displayed their strengths effectively.
Final verdict
Why the match ended this way
Team 2's victory was secured through superior economic management, better military engagements, and timely technological advancements while Team 1 suffered from ineffective military trades and slower transitions in the game.
Winning factors
Superior military engagement results with favorable K/D ratio and military score.
High resource gathering and spending efficiency ensuring sustained unit production.
Losing factors
Inability to effectively counter early military pressure leading to increased deaths.
Slower transition into the next age restricted military capabilities.
Data quality and provenance
Confidence
high
Missing
Nothing material
Generated
7/21/2026, 10:55:49 AM · gpt-4o-mini
Raw AoE4World data used for this report
This is the compacted public telemetry saved with the report. It includes exact scores, resources, actions, landmarks, build-order events, and sampled time-series data.