ALGS Championship - Year 5, Split 2

Scores

#
Team
Score
Kills
1
Roadhouse
rBlakey
14
2
2
Alliance
Simpel
9
0
3
Team Mango
crazy austriano
7
0
#
Team
Score
Kills
This ranking has been automatically computed by ALS and includes tiebreaks. Rankings are updated as soon as a game ends, and use partial (ongoing) series results.
= Number of match series played.

Score matrix

#TeamTotal
Score		Game #10
PK
1Team logoRoadhouse1412
2Team logoAlliance920
3Team logoTeam Mango730

Games Replays

Player


Ban: PathfinderTiebreak resolution:
Tiebreak with legends: Bangalore, Octane, Pathfinder Tiebreak Step 1 - Global picks (until current game): Bangalore (1 picks), Octane (1 picks), Pathfinder (1 picks) Tiebreak Step 1 failed: All legends tied globally with 1 picks, proceeding to match-based tiebreak. Roadhouse (placement: 1, score: 2) didn't use legends: Bangalore, Octane. Skipping. Roadhouse used legends: Pathfinder, tiebreak step resolved. Tiebreak resolved, only one legend remains: Pathfinder

A vs. B - Game #10 - Olympus

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Roadhouse

Open interactive replay View game stats

Individual Legends data

Legend Pick rate % Avg. placement Win Rate% Top 5 Rate% Top 7 Conversion Rate% FWR% Total occurrences

Player   Bangalore

100%20%100%0%0%1

Player   Octane

100%30%100%0%0%1

Player   Pathfinder

100%1100%100%100%100%1

FWR% = Fight Win Rate%. Calculation method: Knockdowns/(Knockdowns+Times Knocked).
Legend Pick rate% Avg. placement Win Rate% Top 5 Rate% Top 7 Conversion Rate% FWR% Total occurrences

Player   Bangalore

100%20%100%0%0%1

Player   Octane

100%30%100%0%0%1

Player   Pathfinder

100%1100%100%100%100%1

FWR% = Fight Win Rate%. Calculation method: Knockdowns/(Knockdowns+Times Knocked).

Alliance

Legend Pick rate% Avg. placement Win Rate% Top 5 Rate% Top 7 Conversion Rate% Games Played

Player   Bangalore

100%20%100%0%1

Team Mango

Legend Pick rate% Avg. placement Win Rate% Top 5 Rate% Top 7 Conversion Rate% Games Played

Player   Octane

100%30%100%0%1

Roadhouse

Legend Pick rate% Avg. placement Win Rate% Top 5 Rate% Top 7 Conversion Rate% Games Played

Player   Pathfinder

100%1100%100%100%1

Alliance

Composition Pick rate% Avg. placement Win Rate% Top 5 Rate% Top 7 Conversion Rate% Games Played

Player   Bangalore

100%20%100%0%1

Team Mango

Composition Pick rate% Avg. placement Win Rate% Top 5 Rate% Top 7 Conversion Rate% Games Played

Player   Octane

100%30%100%0%1

Roadhouse

Composition Pick rate% Avg. placement Win Rate% Top 5 Rate% Top 7 Conversion Rate% Games Played

Player   Pathfinder

100%1100%100%100%1

Teams Statistics

Team Games Best P. Avg P. Kills Knocks Times knocked Dmg dealt Dmg taken Dmg diff Dmg/kill Ring dmg Rez. Rspn. K/D KA/D Deaths Surv. time Top 1s Top 2s Top 3s Top 5s Top 10s Top 15s Top 20s Top 10% T10→T5% T5→T1% Assists

Alliance

12nd2001332274583320000019m 53s0111111100%100%0%0

Team Mango

13rd3001195209-141950000019m 20s0011111100%100%0%0

Roadhouse

11st1220418462-442090002209m 58s1111111100%100%100%0

Players Statistics

Player Games Kills Assists Kill Participation% Knocks Times knocked Dmg dealt Dmg taken Dmg diff Dmg/kill Ring dmg Rez. Rspn. K/D KA/D Deaths Surv. time Top 10% T10→T5% T5→T1%

Simpel

100NAN01332274583320000019m 53s100%100%0%

crazy austriano

100NAN01195209-141950000019m 20s100%100%0%

rBlakey

12010020418462-442090002209m 58s100%100%100%

Teams Drops

Olympus

POI Avg. Pick# Wins Avg. points Avg. kills Avg. placement Picks

Hammond Labs

NC yet114211

Stabilizer

NC yet07031

Turbine

NC yet09021

Averages are defined on a team level. Average pick order is not always available, depending on if the information was provided.
Team Olympus Total

Alliance

9 (100%)9

Team Mango

7 (100%)7

Roadhouse

14 (100%)14

Those stats are experimental.
For teams view, the average players distance per ring is computed in 10s buckets if at least 2 teammates have been active in this bucket.
For players view, the average distance is also in 10s buckets, if at least one teammate other than the corresponding player has been active in the team in this timeframe.

Team Ring 1 Ring 2 Ring 3 Ring 4 Ring 5 Ring 6 Average

Abilities Usage Statistics

Player

Bangalore

Smoke Launcher (Tactical)

Ability

2

Player

Octane

Launch Pad (Ultimate)

Ability

3

Player

Pathfinder

Grappling Hook (Tactical)

Ability

14

Zipline Gun (Ultimate)

Ability

1

Looting Statistics

This is still a work in progress. Loot path detection needs to be improved in some cases, wait a few days before trusting the data!
To view Loot pathing for a player, you must select an individual game at the top of the page.
Player Avg. Loot Time

No path data available. Select an individual game in the navigation to view detailed loot paths.
×

Loot Path

Items Statistics

Player
Player

Evo Level 2 Upgrades

Legend Perk Pick Rate% (per legend) Number of picks

Player   Octane

Mad Hops100%1

Player   Pathfinder

Field Research100%1

Player   Bangalore

Cover Me!100%1
Legend Perk Pick Rate% (per legend) Number of picks

Player   Pathfinder

Grapple God100%1
Player Level 2 (Blue) Level 3 (Purple) Level 4 (Red)

crazy austriano

2m 16s--

rBlakey

2m 34s3m 9s-

Simpel

3m 44s--

Time until upgrade is since the beginning of the game for all levels.

Performance Landscape

Original idea by u/Raileyx on the Competitive Apex subreddit.
PV (Player Value): Weighted score based on the player kills per game (x1.3), damage per game (x1) and damage ratio (x0.7)
CV (Carry Value): CV is a measure that relates your PV to the PV of your teammates. The formula is (Your PV)-(average PV of your teammates). A player with score above 15 is considered being a carry.
Absolute PV (Absolute Player Value): A player's simulated playing strength if they played with two perfectly neutral teammates, used to normalize PV to make players comparable between teams.
PV Rank Player Player Value Carry Value Absolute PV. Kills/Game Damage/Game Damage ratio
1

rBlakey

23.950.0014.372.00418.000.90
2

Simpel

2.520.001.510.00332.001.21
3

crazy austriano

-26.480.00-15.890.00195.000.93
Original idea by u/Raileyx on the Competitive Apex subreddit.
TV (Team Value): Weighted score based on the team's kills per game (x1.3), damage per game (x1), damage ratio (x0.7), and average placement (x1.5).
Teams are evaluated based on their overall performance metrics relative to other teams.
Rank Team TV Avg Placement Kills/Game Damage/Game Damage ratio
1

Roadhouse

42.331.002.00418.000.90
2

Alliance

2.522.000.00332.001.21
3

Team Mango

-44.853.000.00195.000.93

Original idea by u/Raileyx on the Competitive Apex subreddit.

Match Timeline


To view a match timeline for a team, you must select a single game in the navigation menu. Pick a Stage, Day and Group before being able to see the Games list.

Weapons Stats Summary

Weapon Kills Damage Knockdowns FWR% Shots Hits Accuracy Playtime Max kill dist. Max dmg dist.

The number of kills displayed here are the total kills that happened in a game, regardless of awarded or not. If the killer got eliminated before being awarded their kill, the number of kills displayed on this tab may be higher than the total kills displayed in the other stats tabs.
Abilities kills are also not displayed in this table.
Weapons kills count are based on the weapons used to down the player, not the weapon used to finish the downed player.
FWR% = Fight Win Rate%. Calculation method: Knockdowns/(Knockdowns+Times Knocked), based on when the attacker/victim was using the corresponding weapon.

Hits are based either on the number of bullets, or the number of pellets if applicable (Shotguns, Triple Take, Charge Rifle).

The project and people involved are not sponsored, affiliated or endorsed by EA/Respawn/EAC in any way. This is made by a player, for players. All images, icons and trademarks belong to their respective owner. Apex Legends is a registered trademark of EA. Game assets, materials and icons belong to Electronic Arts. Be aware, EA and Respawn do not endorse the content of this website nor are responsible for this website content. Player's countries are pulled from Liquipedia.