The newest hero hot list was released last week, giving us a good opportunity to look at console vs PC performance. In this community, much of the conversation surrounding the game is PC-skewed. However, Marvel Rivals is one of the most popular console games, with millions of unique players logging on weekly. There are notable differences between the console and PC metas at every rank that affect your matchups, bans, and optimal roster selection. Today, we’ll discuss these differences, how to understand certain meta trends, and how you can apply them to your platform of choice.

Methodology

All data was pulled from the official Season 7.5 hero hot list. For this analysis, I looked at all-rank data for both PC and console. The graph shows how characters differ between the two platforms. The Y-axis is PC vs console win rate increase, plotting the difference between the two WRs. Characters closer to the top have higher PC WRs, while characters at the bottom have higher console WRs.

The X-axis shows how much more a character is played on PC vs console. For example, Hela has a 4.90% PR on PC and 2.74% on console, meaning she is played 44% more on PC. Conversely, Mr. Fantastic has a 1.94% PR on PC and 3.59% on console, resulting in a 45% increase in console appearances compared to PC.

Platform Analysis

Overall, there is a clear trend: more aim-intensive characters are both more popular and perform better on PC than on console. The split can best be described as “can headshot” on PC and “melee and auto-aimers” on console. There is a moderate correlation between platform pick rate and win rate differences that gets stronger as you climb in rank on either platform. There are a few notable exceptions.

Certain comp-specific counters see more play on different platforms. Magneto, a common poke counter, sees higher PC play across all individual ranks, but no notable improvement in performance. The Thing experiences the largest gap between PC and console win rate, with a 3.1% better console WR on average.

Black Cat is one of the few melee heroes to see a significant jump in win rate on PC. This is mainly driven by her low-level performance, where there are more low-skill, low-mobility poke players to terrorize. She also benefits from the additional keybind options available on PC. Peni and Strange are two characters who are more popular on PC, yet slightly better on console. We can see the opposite with characters like Jeff and Groot. The last notable trend is the difference between the Deadpool variants. Despite all having hitscan weapons, Deadpool Vanguard sees significantly more play and better performance on PC, while Deadpool Strategist sees more console usage with no notable change in win rate.

So, let’s answer the question: who benefits the most from the console meta?

The Queen of Limbo

It’s Magik.

While characters like Scarlet Witch and The Thing have higher win rate boosts on console, no one has matched the sheer dominance of console Magik. On PC, Magik has an average pick rate for a DPS and is a top performer at any rank. Frankly, people tend to downplay how consistently excellent she is on PC.

On console, she is a different beast. In Season 7.5, she maintained a top-three overall win rate from Silver onward. Her pick rate rises as you climb, usually topping the charts as the most-played DPS starting in GM+. This explains her S-tier ranking on 3rd-party sites like Rivalsmeta. These sites combine PC and console data. Because of this, characters driven by console performance, like Magik, can rank higher than players expect. As soon as bans are unlocked in Gold, Magik should be a priority ban for your team if you are on console.

So, if Magik benefits the most from the console meta, who is her PC counterpart?

You Are Nothing!

It’s Phoenix, kind of.

Phoenix sees one of the highest win rate jumps when moving to PC, second only to Black Widow overall. She has the most improvement in higher ranks, peaking at a 4.19% increase in win rate in Celestial+ when comparing the two platforms. Looking at pick rate, Phoenix is usually in the top four in play rate increase alongside Hela, Luna Snow, and Psylocke.

Based on these numbers, Phoenix sounds like she runs PC lobbies just as Magik runs console lobbies. However, Phoenix failed to post a win rate above 50% in any individual rank this season, peaking at 49.73% in Celestial+. Historically, Phoenix has underperformed across all ranks and platforms outside of PC Celestial+, even including pro play. Phoenix’s damage is not only more headshot-dependent than that of other characters, but also reliant on hitting the same target consecutively. This causes her to rely on difficult shots, making her value inconsistent.

Conclusion (In Zhiyong’s Defense)

Phoenix is indicative of a major misconception this community holds: poke is the dominant meta and has been since the beginning of the game. Based on the combat data, it is more accurate to say that while low-mobility poke characters tend to be the most popular archetype of any given season, especially on PC, they usually underperform compared to higher-mobility characters. There have been strong poke characters in the past, such as Season 0 Hela, Season 3.5 Namor, or Season 5 Hawkeye. However, these are exceptions, as low-mobility poke characters often fail to break past a 50% win rate regardless of play rate. On the other hand, many higher-mobility heroes (Daredevil, Magik, Iron Fist, Captain America, Hulk, etc.) and fliers perform well regardless of meta or platform.

To end, let’s look back at one of Zhiyong’s most infamous quotes. In the Season 7 dev vision, Zhiyong talks about poke vs dive. In it, he says:

>“We don’t want a scenario where divers or fliers completely dominate the battlefield, which would be exhausting for everyone. So, we’re cautious with adjustments to poke heroes, ensuring fair play and dynamic engagements.”

Many players took this as NetEase purposefully forcing a poke meta and as a sign of an incompetent balance team. In reality, they were telling you that poke was already struggling with divers, with further nerfs only resulting in a wider gap, especially for console players. As a community, we have overestimated the effectiveness of poke characters, attributing their strengths to imbalance and their weaknesses to skill issues.

To console players, poke characters are almost never problematic at any rank, so save your bans for strong close-range characters. For PC players, poke has real weaknesses that are getting exploited by higher-mobility characters. Reconsider your views on your platform’s meta as you compare them against the hero hot lists.

Next time, I will look at the differences across rank, alongside platform data, which should provide you with the knowledge to evaluate future official hot lists. Until then, take care.

• 1st vs 3rd Party Data Sources

• Non-Mirror Win Rate

• Presence and Post-Ban Pick Rates

The Marvel Rivals Ignite Season 7 preseason just ended. Some of you may have watched, while others were bothered by the constant esports pop-ups. Either way, you may be inspired to give tournament play a try. Before you dive in, it’s good to recognize how tournaments differ from ladder.

Beyond “more comms” and “the players are better,” there are tangible factors that greatly affect tournament data analysis. This guide applies to all levels of tournament play, from collegiate to MRC to Ignite. Let’s look at the main differences in structured play data and how to use it to improve your team.

Different Match Incentives

Based on the tournament structure, players can have incentives beyond simply winning the most games. For example, in a 16-team double-elimination bracket, it is possible for the first-place team to win with a 54% game WR while the 7th-place team has a 63% game WR. While this may sound hypothetical, we have already seen this play out on the biggest stage. In the 2025 Ignite Finals tournament, ChopperMag finished with a 54.5% game WR, while 100 Thieves ended with a 54.2% game WR. However, 100T placed 4th while ChopperMag placed 5th. Why? Because 100T won their losers’ quarterfinals match while ChopperMag lost.

Elimination, Swiss, round-robin, and waterfall brackets all have different match incentive structures. Coupled with external incentives, such as payouts and qualification thresholds, strategies need to change in order to maximize the chance of winning at specific times. The goal of ladder play is to win as much as possible, while tournament players need to win at specific moments.

Closed Metas

Most tournaments are invitation-only or have qualifiers. Because of this, the pool of players to sample from is significantly smaller. Forty-eight teams competed in the 2026 Ignite preseason. With an average roster of seven players, that’s only 336 players total. That’s fewer players than OOA in one server.

When you factor in region and bracket luck, every team is unequally exposed to only a fraction of the player base. For example, Team Heretics only had to play six teams on their way to the 2026 Ignite EMEA grand finals. For over a month, their relevant meta only consisted of 42 players. A ladder player will likely face more opponents in a single night. This warps data, causing results to bend around local metas and more counter-pick-focused strategies.

Uncapped Matchmaking

Unlike ladder, most tournaments do not have a cap on how good (or how bad) players can be. In ladder, players naturally climb until they reach a group of roughly equally skilled opponents. However, due to the smaller tournament player base and self-selection, the skill range in tournaments can vary drastically. Matchmaking is a well-studied mathematical field. As much as NetEase is criticized for its matchmaking, they too have access to this knowledge.

They could likely tell us with high certainty how likely an Eternity team would be to lose to a Celestial team. However, these divisions are unclear in tournaments. How much better was China Ignite’s 1st-place finisher Aconyx compared to 5th-place Team Rise? How much better is an average Tier 1 team compared to an average collegiate team? If the skill gap is wide enough, certain characters may overperform solely because a skilled team favors them. Evaluating tournament results without context is like basing all ladder metas on all-rank combat data. Even at the top level, undefined skill gaps can warp data from tournament to tournament.

Winner-Driven Results

Winning teams in tournaments proportionally affect tournament results more. In Season 2 of Ignite, the top 33% of teams played around 45% of all matches. Coupled with uncapped matchmaking, winning characters can be driven by a select few players who favor them.

A notable example is Jidward on Yeah We Lost. YWL is an American Ignite team that placed third in the 2026 preseason after making it through qualifiers. Jidward is one of their duelists and a Deadpool Duelist specialist. By winning so many games, he single-handedly boosted Deadpool Duelist’s win rate and play rate. Looking at tournament stats alone, you could believe this character is significantly better in structured play than on ladder. Other examples include Cart’s Hulk, Sparkr’s Psylocke, and Polly’s Captain America.

Known Player Information

In tournaments, you know all your teammates’ hero pools and likely know your opponents’ pools as well. On ladder, however, teams are random and players can hide their names. This knowledge changes how teams build hero pools, ban, and counter-pick.

Perfect- vs imperfect-information games refer to games where all information is known versus games where information is hidden. To overly simplify a dense topic, decision-making in imperfect-information games tends to be much more complex due to the larger number of variables to consider. For Rivals, preparing for ladder can actually be more complex than tournaments due to random teammates and wider player pools. Ladder players need significantly more data to tackle their meta compared to tournament players.

Tournament-Specific Rules

Major rules differ between tournaments and ladder play. Asymmetrical bans, character saves, asynchronous bans, patch locks, and counter-pick map selection are all factors that greatly impact characters’ pick rates, ban rates, and win rates. Coupled with known player data and limited metas, tournaments can create metas and strategies that are simply unavailable on ladder.

Limited Sample Size

There are significantly fewer tournament games played than ladder games. To put it in perspective, teams played 499 matches over the entirety of the 2026 Ignite preseason. In Season 7, the same patch as the tournament, Human Torch — the least-played character in the game — was played in 1,414 matches in Celestial+ alone.

Low tournament match volume leads to sample-size issues when trying to evaluate all 52 characters, especially when factoring in different maps and matchups. Some characters aren’t even played in tournaments, which makes it nearly impossible to truly gauge their overall viability. Ladder data’s larger samples provide more confidence and less variability. It is much better to use Celestial+ ladder data when speculating about ladder viability rather than tournament data.

Siloed Data Collection (Scrims)

Outside of tournaments, scrims are the main way structured teams develop new strategies. Scrims are prearranged games between two teams. While scrims are amazing for testing new ideas, they are horrible for evaluating meta performance.

Scrims are heavily influenced by selection bias since players choose their scrim partners. This again biases results toward stronger teams as well as popular tournament characters. Scrim data is also heavily guarded to hide new strategies. With no centralized place for scrim data, teams become further biased toward their own results over wider trends.

Lastly, if a team does not stream their scrims, then most scrim data we receive is purely anecdotal. A player can misremember or misreport data. This makes it unreliable to use as a definitive data source. For any team, use scrims to fine-tune your own strategies rather than predict the wider meta outside your team.

Lack of Data Collection

Tournament data is sadly less available than even 3rd-party ladder data. An analyst for a top Ignite team confirmed with me that NetEase does not share tournament data with pro teams. It is up to the teams themselves to track and compile their own data.

Most teams do not have dedicated analysts. Even for the ones that do, the players still do not have in-depth data to draw from (also confirmed by the top analyst and other pros I have asked).

Most pro opinions we hear are purely speculative and anecdotal, again subject to bias and human error. Fortunately, tournament tracking has improved significantly as Marvel Rivals esports has grown. NetEase has provided official data for past tournaments as well as player data within the game client. Dedicated individuals have also been hand-tracking results.

New 3rd-party site rivalshq.gg has taken on the task of collecting tournament data and presenting it in the most accessible way possible. Players — even pro players — already struggle to cite and utilize data effectively. So use the limited tools we have for deeper analysis, and view any unsubstantiated claims with scrutiny.

TL;DR

Structured play and ladder really are two different metas. Due to different rule sets and limited player bases, character performance in tournaments can differ drastically from ladder. Be cautious of opinions that uncritically compare the two. By understanding the differences, you can use the available data to improve your performance in your preferred format.

u/allshort17

How To Read Data: PC vs Console Performance

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