Best Squawkabilly (Yellow Plumage) counters in Pokémon GO

This table displays a list of best Squawkabilly (Yellow Plumage) counters in Pokémon GO with their Fast Attacks, Charged Attacks, DPS (damage per second), TDO (total damage output), faints, TTW (time to win), and score. The list is sorted by the score, which is calculated based on the DPS and TDO.

Simulation settings

Weather

Raid Difficulty

Attacker typing

Attacker moves type

Best overall 👑

Mega Diancie

Rock Throw

Rock Slide

Best performing move types

37.5%
29.0%
19.5%
3.0%
2.5%
2.0%
1.5%
1.5%
1.0%
1.0%
0.5%
0.5%
0.5%

#	Name	Fast Attack	Charged Attack	DPS	TDO	Faints	TTW	Score
1	Mega Diancie	Rock Throw	Rock Slide	58.87	1772.07	2	69.3s	117.1
2	Shadow Rhyperior	Smack Down	Rock Wrecker *	55.39	2049.66	1	72.0s	115.0
3	Shadow Magnezone	Spark	Wild Charge	53.04	2271.34	1	74.2s	113.4
4	Mega Tyranitar	Smack Down *	Stone Edge	50.04	2730.46	1	77.2s	112.4
5	Shadow Raikou	Thunder Shock	Wild Charge	55.74	1760.67	2	72.8s	112.0
6	Xurkitree	Thunder Shock	Discharge	56.77	1550.03	2	72.7s	110.7
7	Mega Manectric	Thunder Fang	Wild Charge	55.60	1629.09	2	73.6s	110.0
8	Shadow Electivire	Thunder Shock	Wild Charge	57.82	1379.72	2	72.7s	109.7
9	Zekrom	Charge Beam	Fusion Bolt *	51.92	2061.88	1	76.3s	109.3
10	Mega Rayquaza	Dragon Tail	Dragon Ascent	55.67	1559.41	2	73.9s	109.2
11	Shadow Zapdos	Thunder Shock *	Thunderbolt	54.39	1641.13	2	75.0s	108.3
12	Mega Aerodactyl	Rock Throw	Rock Slide	51.35	1892.55	1	77.7s	106.5
13	Golem (Alola Shadow)	Rollout *	Wild Charge	48.97	2232.64	1	80.0s	106.1
14	Shadow Mamoswine	Powder Snow	Avalanche	58.63	1061.36	3	75.0s	105.2
15	Shadow Tyranitar	Smack Down *	Stone Edge	49.86	1793.78	2	80.2s	102.9
16	Shadow Luxray	Spark	Wild Charge	54.07	1299.31	2	77.7s	102.8
17	Thundurus (Therian)	Volt Switch	Thunderbolt	51.53	1496.60	2	79.5s	101.8
18	Shadow Aggron	Smack Down	Meteor Beam	45.37	2346.76	1	85.5s	100.8
19	Mega Ampharos	Volt Switch	Zap Cannon	47.84	1854.33	1	83.0s	100.2
20	Rampardos	Smack Down	Rock Slide	52.51	1261.54	2	80.0s	99.8
21	Rhyperior	Smack Down	Rock Wrecker *	45.67	2003.82	1	86.0s	98.1
22	Magnezone	Spark	Wild Charge	44.10	2221.73	1	88.1s	97.5
23	Shadow Mewtwo	Psycho Cut	Thunderbolt	52.68	1032.81	3	82.3s	96.0
24	Shadow Weavile	Ice Shard	Avalanche	55.46	840.07	4	82.1s	95.9
25	Raikou	Thunder Shock	Wild Charge	46.12	1726.91	2	86.4s	95.9
26	Shadow Manectric	Thunder Fang	Wild Charge	52.52	964.19	3	83.5s	94.5
27	Tyrantrum	Rock Throw	Meteor Beam	46.02	1586.13	2	87.3s	94.1
28	Electivire	Thunder Shock	Wild Charge	47.78	1353.98	2	86.0s	93.9
29	Zapdos	Thunder Shock *	Thunderbolt	45.02	1610.98	2	88.9s	92.8
30	Galarian Standard Darmanitan	Ice Fang	Avalanche	52.36	880.45	4	85.1s	92.5
31	Shadow Aerodactyl	Rock Throw	Rock Slide	48.51	1185.07	3	86.4s	92.5
32	Shadow Zebstrika	Spark	Wild Charge	49.94	1019.19	3	86.2s	91.8
33	Baxcalibur	Ice Fang	Avalanche	48.66	1128.23	3	86.7s	91.8
34	Alolan Golem	Rollout *	Wild Charge	40.67	2183.18	1	95.1s	91.1
35	Shadow Magneton	Thunder Shock	Discharge	45.64	1350.35	2	89.5s	90.5
36	Gigalith	Smack Down	Meteor Beam *	43.59	1607.40	2	91.6s	90.4
37	Mega Gardevoir	Charge Beam	Triple Axel	47.73	1097.59	3	88.6s	89.9
38	Mamoswine	Powder Snow	Avalanche	47.84	1032.93	3	89.2s	88.9
39	Tyranitar	Smack Down *	Stone Edge	41.47	1767.46	2	95.0s	88.6
40	Terrakion	Smack Down	Rock Slide	46.42	1111.67	3	90.5s	88.1
41	Luxray	Spark	Wild Charge	44.64	1274.28	2	91.9s	87.9
42	Shadow Omastar	Rock Throw *	Rock Slide *	45.00	1229.52	2	91.7s	87.8
43	Primal Kyogre	Waterfall	Blizzard	43.13	1444.35	2	93.4s	87.7
44	Mega Glalie	Frost Breath	Avalanche	48.05	936.12	3	90.3s	87.5
45	Aggron	Smack Down	Meteor Beam	37.86	2295.20	1	101.4s	86.9
46	Tapu Koko	Volt Switch	Thunderbolt	43.74	1294.07	2	93.4s	86.7
47	Shadow Golem	Rock Throw	Stone Edge	43.72	1292.43	2	93.5s	86.7
48	Mega Aggron	Smack Down	Meteor Beam	38.89	1929.98	1	100.0s	85.7
49	Shadow Mr. Rime	Ice Shard	Triple Axel	47.98	829.63	4	92.4s	85.3
50	Shadow Arcanine	Thunder Fang	Wild Charge	47.53	832.48	4	93.0s	84.7

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About the results

Our guide provides detailed information on recommended Pokémon and moves that are most effective against Squawkabilly (Yellow Plumage) in Raid Battles. Whether you're looking for the best counters to take Squawkabilly (Yellow Plumage) down quickly with high DPS, or the tankiest counters that can withstand its attacks, our guide has something for every trainer.

The top-ranked Squawkabilly (Yellow Plumage) counter is Mega Diancie, followed by Shadow Rhyperior, Shadow Magnezone, and Mega Tyranitar. The table also includes Shadow Raikou, Xurkitree, Mega Manectric, and Shadow Electivire, among others. Each Pokemon's move type is indicated by an icon beside the move name.

Squawkabilly (Yellow Plumage) type chart

When fighting Squawkabilly (Yellow Plumage), keep in mind the following that Normal and Flying-type Pokémon are weak to Electric, Ice, and Rock type moves. They take reduced damage from Bug, Grass, Ghost, and Ground type moves.

Weaknesses

Electric	160.0%
Ice	160.0%
Rock	160.0%

Resistances

Ghost	39.1%
Ground	39.1%
Bug	62.5%
Grass	62.5%

Type chart shows the percentage (%) of damage taken from an incoming attack of a particular type.

Best move-types and weather for Squawkabilly (Yellow Plumage) Raids

Move-type	Usage (%)	Weather
Electric	37.5%	Rainy
Rock	29.0%	Partly Cloudy
Ice	19.5%	Snow
Dragon	3.0%	Windy
Psychic	2.5%	Windy
Fire	2.0%	Sunny
Flying	1.5%	Windy
Water	1.5%	Rainy
Steel	1.0%	Snow
Normal	1.0%	Partly Cloudy
Poison	0.5%	Cloudy
Fighting	0.5%	Cloudy
Dark	0.5%	Fog

About our ranking methodology

When calculating the best counters for any Pokémon, our simulator takes into account various factors, such as the defender's typing and average DPS against each attacker, the weather's influence, energy left over from using charge moves, Shadow Pokémon attack and defense stat changes, and more. During the initial phase of simulations, we calculate DPS and TDO for each attacker that is currently available in the game, and then we continue to rank them.

We use a ranking method developed by a Reddit user named /u/Elastic_Space, which is described in detail in this Reddit post. It is a fairly complicated, but very well thought-out mathematical model for predicting simulation results without actually running the simulations. It also correlates with field data almost too well not to be used.

Our Time to Win (TTW) and Faint numbers are also estimated, and should be taken with a grain of salt. Since we do not account for factors like Friendship and Mega damage boost, they will differ from actual experience in the field.