BGH 3v3 AutoSave community coach report: 925 clear 3v3 games, BeibeiQ focus, meaningful player profiles.
BGH 3v3 AutoSave Community Coach Report v0.1
Focus player: BeibeiQ
Report date: 2026-06-03
Source: local AutoSave.zip replay pack shared for the 24HSC Brood War BGH community.
Parser: local screp plus BroodWar-AI-Coach/tools/bgh_batch_report.py.
Privacy boundary: this report uses replay header data, map names, player names, race, team, winner, APM/EAPM, game length, and BeibeiQ command-level aggregates. It does not quote chat and does not publish raw replay contents.
Sample Scope
The zip contained 4,884 .rep files.
BGH / Big Game Hunters / Hunters name matches: 1,771 replays.
The core sample was narrowed to clear 3v3 games:
6human players- two teams of
3 - parsed winner available
- BGH/Hunters map naming
Core 3v3 sample: 925 games.
Core 3v3 game types:
Top vs Bottom:698Use map settings:227
Average core 3v3 length was about 10:54; median was about 9:56.
This is enough for community player profiling. It is not yet a full tactical VOD review. The current evidence can support:
- frequent player identification
- race tendencies
- win/loss shapes
- mechanical activity level
- teammate/opponent relationships
- BeibeiQ opening and command habit analysis
It cannot directly prove:
- why a specific fight was lost
- whether a defense was self-called or team-called
- exact minimap positioning and army pathing
- precise scouting, vision, and micro quality
Community Read
This replay pack is not a clean anonymous ladder pool. It is a long-running BGH community pool.
That matters because BGH 3v3 results are shaped by:
- Team composition: fixed partners, race mix, and uneven sides can strongly move win rate.
- Game length: short games are often opening collapse or early pressure; mid games test team shape; long games test macro, remax, anti-air, detection, and final-tech roles.
- Community role: some players are carries, some are stabilizers, some are pure tempo, some are social/fun anchors.
So this report is a community coaching profile, not a ladder ranking.
BeibeiQ Profile
One-line read:
BeibeiQ is a high-presence, mostly Protoss BGH 3v3 community player. She is not a pure carry and not dead weight. Her best window is normal midgame team play. The repair lane is making her first 10 minutes safer and giving her a clearer Protoss job after 18 minutes.
Sample
BeibeiQ appears in 150 BGH-matched replays overall.
In the clear 3v3 core sample she appears in 80 games:
- record:
36-44 - win rate:
45.0% - average APM/EAPM:
132.6 / 113.3 - race split:
Protoss 70,Terran 6,Zerg 4
Race split:
| Race | Games | W-L | Winrate | APM | EAPM |
|---|---|---|---|---|---|
| Protoss | 70 | 32-38 | 45.7% | 133.4 | 113.8 |
| Terran | 6 | 3-3 | 50.0% | 153.5 | 134.0 |
| Zerg | 4 | 1-3 | 25.0% | 86.2 | 73.5 |
The identity is clear: BeibeiQ should be coached as a BGH Protoss player. Terran and Zerg are too small as samples and should be treated as fun/random games, not the main repair lane.
Strengths
- Stable attendance and usable mechanical activity.
80 clear 3v3 games is meaningful. 132.6 / 113.3 APM/EAPM is a stable, trainable community BGH level. Do not coach her like someone who has no rhythm.
- Her Protoss opening is not random.
Command pass covered 80/80 BeibeiQ games. Her first building was:
Pylon:63Supply Depot:5Drone:4
In Protoss games, the first building was consistently Pylon. The first Pylon usually landed around 0:49-0:53. That is a real opening rhythm.
- She participates in the game.
Aggregate BeibeiQ command signals:
Probe:10,651Zealot:5,080Dragoon:1,655High Templar:320Dark Templar:183Pylon:804Photon Cannon:500Gateway:370Assimilator:112Forge:68Cybernetics Core:56Citadel of Adun:51Templar Archives:39
This is a recognizable BGH Protoss path: Pylon / Cannon / Gateway / Zealot early activity into Dragoon, HT/DT, and selective tech support.
Main Repair Lane
The most important signal is the game-length split:
| Length bucket | Games | W-L | Winrate | APM | EAPM |
|---|---|---|---|---|---|
| < 10 min | 38 | 13-25 | 34.2% | 140.2 | 116.8 |
| 10-18 min | 31 | 21-10 | 67.7% | 126.8 | 110.3 |
| >= 18 min | 11 | 2-9 | 18.2% | 122.5 | 109.5 |
This is the coaching key.
BeibeiQ can win when the game enters stable midgame. Her 10-18 min win rate is 67.7%, which means she can follow a team shape and contribute once the game is not collapsing.
Her problem is on both ends:
- short games under 10 minutes: vulnerable to early pressure, opening collapse, or teammate collapse chains
- long games after 18 minutes: unclear Protoss final role, remax, detection, anti-air, spell value, and team fight contribution
The repair frame:
First lane: survive the first 10 minutes without becoming pure cannon turtle.
Second lane: after 18 minutes, know what Protoss value the team needs.
Teammate And Opponent Context
Frequent teammates:
Azhi_Dahaki:46same-team gamesduoduoduo:11NO0Bs:10Marsox:9[24H]WeiJia:7
Frequent opponents:
Marsox:34GYRGYR~:15Lastscer:15UncletosS:12duoduoduo:10
Notable BeibeiQ teammate pairs:
| BeibeiQ teammates | Games | W-L | Read |
|---|---|---|---|
Azhi_Dahaki + duoduoduo |
8 | 2-6 | Uncomfortable sample; likely difficult opponent pool or awkward team shape. |
NO0Bs + [24H]WeiJia |
6 | 2-4 | Recent May 15 losses deserve early-pressure review. |
[24H]32A + [24H]Lin86 |
5 | 3-2 | More comfortable team shape. |
NO0Bs + WeiJia |
4 | 4-0 | Small sample but very bright; worth replay review. |
GYRGYR~ + Marsox |
4 | 0-4 | Bad fit or bad opponent context; do not over-read without VOD. |
BeibeiQ Coaching Prescription
1. Protoss first-10-minute stability
The goal is not to make her an APM monster. The goal is to make her fixed Protoss opening harder to break.
Training points:
- Keep first Pylon discipline around
0:49-0:53. - Forge/Cannon should not become pure turtle. Defense must connect into Gateway production.
- Early Zealots should not be donated. They should protect an ally or pressure a real target.
- When paired with Z/T teammates, her job is often shield + bridge into midgame.
Measurable target:
Next 30 clear 3v3 games:
raise BeibeiQ's sub-10-minute win rate from 34.2% toward 45%+.
2. Preserve the midgame sweet spot
Her 10-18 min win rate is 67.7%. Do not over-repair this window.
Training points:
- Around 10 minutes, connect Zealot/Dragoon/HT into one usable team army.
- Keep at least one army that can join teammates. Do not leave all supply parked at home.
- Cannons are a position, not a win condition.
- When ahead, attack or defend the same side as the team instead of probing alone.
3. Define the long-game Protoss job
Her long-game record is 2-9. That is the loudest repair signal.
Training points:
- After 18 minutes, check three things: anti-air, detection, spell value.
- If she makes HT, they need protection and team timing.
- If she goes Arbiter/Carrier, ground Gateway mass still has to hold the front.
- If the team is already fighting, her job is to add Protoss control and sustain, not restart the game by rebuilding cannons at home.
Short Version For BeibeiQ
BeibeiQ should not be treated as only the cute community mascot. The sample says more than that:
- she is a stable Protoss community player
- she can win midgames
- her losses are concentrated in short collapse games and unclear long-game Protoss role games
- her repair words are first-10-minute stability, midgame join timing, and post-18-minute Protoss team value
Coaching sentence:
You can win the midgame.
Now make the first 10 minutes safer,
and make the 18-minute Protoss job clearer.
Core Player Profiles
Core threshold: clear 3v3 sample >= 40 games.
This is not a power ranking. It is a profile of each player's shape in this AutoSave community pool.
| Player | Games | W-L | WR | Race shape | APM/EAPM | Coach read |
|---|---|---|---|---|---|---|
Marsox |
623 | 266-357 | 42.7% | T/P/Z all common | 173.1/138.6 | Massive baseline sample. Many community results happen around him. Win rate is pulled by huge mixed-team exposure. |
duoduoduo |
187 | 113-74 | 60.4% | mainly Z | 197.9/162.2 | Strong Zerg tempo/carry signal. |
[24H]8X |
181 | 87-94 | 48.1% | P main, Z/T also present | 143.8/122.6 | Stable community midline player rather than mechanical crusher. |
UncletosS |
128 | 64-64 | 50.0% | balanced T/Z/P | 184.5/158.3 | True flex profile. Useful filler, but may need a clearer default win identity. |
[24H]LineaPB |
127 | 41-86 | 32.3% | mainly P | 197.0/167.3 | High activity but low conversion. Prime repair candidate for team-value review. |
sam_wu |
91 | 43-48 | 47.3% | Z/P | 168.1/140.0 | Near-even player; worth checking whether Zerg tempo becomes team advantage. |
[24H]WeiJia |
87 | 51-36 | 58.6% | Z/T/P | 298.3/156.6 | Very high APM, positive results. Some action noise, but real practical impact. |
ahlong |
80 | 39-41 | 48.8% | mainly P | 136.6/115.5 | Stable Protoss slot; repair midgame join and final-tech value. |
BeibeiQ |
80 | 36-44 | 45.0% | mainly P | 132.6/113.3 | Community sweetheart with real sample size. Midgame is good; short and long games need repair. |
[24H]Shan-Diao! |
77 | 38-39 | 49.4% | pure Z | 161.8/128.4 | Dedicated Zerg profile, basically even. Review pressure-to-economy conversion. |
24H_Xiaokeai |
77 | 33-44 | 42.9% | T/Z/P | 172.6/137.6 | Multi-race fun/flex player; needs main-race lane before precise coaching. |
[24H]Mr-J |
75 | 50-25 | 66.7% | P/Z/T | 197.1/153.3 | One of the strongest current sample players. Carry/stabilizer candidate. |
EyeofTheStorm |
74 | 41-33 | 55.4% | P/Z/T | 94.4/89.6 | Low APM, positive win rate. Great case study for judgment-driven value. |
YueeR |
74 | 31-43 | 41.9% | almost pure Z | 201.7/144.8 | High-activity Zerg with negative result signal. Needs pressure conversion review. |
CrazyStoneeeee |
71 | 43-28 | 60.6% | T/Z/P | 175.9/125.9 | Strong mixed-race player; likely good game sense and team timing. |
windycc! |
70 | 36-34 | 51.4% | mainly P | 216.0/159.5 | High-action Protoss, slightly positive. Good comparison point for BeibeiQ. |
GYRGYR~ |
68 | 33-35 | 48.5% | P/Z/T | 211.8/176.4 | Very active, near-even results. Needs conversion review. |
THERMO_STAT |
68 | 23-45 | 33.8% | mainly P | 117.5/104.5 | Low-win Protoss profile; likely too defensive or low team impact in midgame. |
NO0Bs |
64 | 33-31 | 51.6% | T/Z/P | 186.6/146.7 | Stable flex. Relevant for BeibeiQ + WeiJia team review. |
FakeBiSU~~ |
61 | 22-39 | 36.1% | mainly P | 132.3/121.0 | Confident name, harsh sample. Needs Protoss opening and team-timing audit. |
[24H]MoFan |
56 | 34-22 | 60.7% | mainly Z | 248.1/188.5 | Strong high-activity Zerg carry sample. |
[24H]Yida |
56 | 25-31 | 44.6% | mainly P | 273.0/165.7 | Very high APM but negative result. Review over-action and conversion quality. |
wulawula |
56 | 16-40 | 28.6% | mainly P | 225.4/166.8 | High-action low-win warning. Major repair target. |
Azhi_Dahaki |
55 | 27-28 | 49.1% | T/Z/P | 208.7/189.7 | BeibeiQ's frequent partner. High EAPM, basically even; needs team-role review with BeibeiQ. |
[24H]oldguy |
53 | 19-34 | 35.8% | P/T/Z | 98.1/91.2 | Low-APM casual/older-brother profile. Goal should be less collapse, not mechanical explosion. |
Lastscer |
52 | 27-25 | 51.9% | P/T/Z | 205.0/156.5 | Slightly positive, frequent BeibeiQ opponent. Good comparison sample. |
Temporarias |
51 | 33-18 | 64.7% | mainly P | 284.3/163.9 | Strong high-APM Protoss/mix player. Useful upper-bound sample. |
rfan |
45 | 25-20 | 55.6% | pure P | 254.5/163.2 | Pure Protoss, positive record. Strong BeibeiQ comparison lane. |
ShiBuYeSha |
43 | 16-27 | 37.2% | Z/P | 281.9/235.4 | Extremely high EAPM, poor result. Study action-to-win conversion. |
24H_dashixiong |
42 | 25-17 | 59.5% | P/Z/T | 181.2/157.0 | Efficient positive flex sample. |
[24H]Lin86 |
41 | 19-22 | 46.3% | mainly P | 176.5/131.4 | Slightly negative Protoss sample; good for BeibeiQ team-shape review. |
6501 |
41 | 19-22 | 46.3% | mainly P | 185.5/171.0 | High EAPM, slightly negative; needs decisive timing review. |
LongZhu. |
40 | 23-17 | 57.5% | nearly pure P | 147.4/108.8 | Positive Protoss without extreme APM. Strong judgment-over-speed example. |
Watchlist
Players close to the core threshold:
Tian.:39games,20-19, mainly P,204.6/149.3APM/EAPMLineaPB:39games,18-21, Z/P,210.7/170.6APM/EAPM
Coaching Conclusion
This replay pack is valuable because it captures a real community, not just isolated games.
Best next deep-dive lanes:
BeibeiQ: Protoss first-10-minute stability and post-18-minute team value.wulawula/[24H]Yida/ShiBuYeSha: high APM, low win conversion.[24H]Mr-J/[24H]MoFan/Temporarias: strong community carry samples.EyeofTheStorm/LongZhu.: lower or moderate APM, positive results.BeibeiQ + NO0Bs + WeiJiaandBeibeiQ + Azhi_Dahaki + duoduoduo: fixed-team shape review.
The right product loop for Brood War AI coaching:
batch metadata
-> meaningful player profile
-> one focus player deep dive
-> fixed team composition comparison
-> selected replay VOD/manual tactical review
For BeibeiQ, the next replay selection should be:
- a set of sub-10-minute losses to see how she gets pulled into collapse
- a set of 10-18-minute wins to see why her sweet spot works
That is real coaching, not just a scoreboard.