Top Winners This Patch
Who Won the Patch?
These heroes gained the most from the latest balance update.
Marvel Rivals · Patch Analysis
What should you play after the latest patch?
Search any Marvel Rivals hero — see buffs, nerfs, meta tier, and whether they are worth picking right now.
Buffed
18
Nerfed
8
Latest Patch
Version 20260711 Balance
Best Heroes Right Now
Who Should You Play?
18 buffs, 8 nerfs in Version 20260711 Balance. See who gained ground, who fell behind, and what to try.
★ High Priority Picks
High confidence recommendations with strong data backing.
▲ Biggest Winners
Heroes with the highest positive balance impact this patch.
▼ Biggest Losers
Heroes who received the most nerfs this patch.
Patch Prediction Summary
Invisible Woman leads the patch, but several roles shifted.
STRATEGISTs gained the most from this balance patch. 18 buffs, 8 nerfs across 9 heroes.
Most Positive Predicted Impact
Heroes predicted to gain the most from the latest patch.
Invisible Woman
+12.0
4B / 2N
Rocket Raccoon
+12.0
2B / 0N
Black Widow
+12.0
5B / 0N
Ultron
+9.0
1B / 0N
Psylocke
+6.0
2B / 3N
Luna Snow
+4.0
1B / 0N
Most Negative Predicted Impact
Heroes predicted to lose the most value from the latest patch.
Best Picks by Role
Positive Predicted Impact
Invisible Woman
+12.0
4B / 2N
Rocket Raccoon
+12.0
2B / 0N
Black Widow
+12.0
5B / 0N
Ultron
+9.0
1B / 0N
Psylocke
+6.0
2B / 3N
Negative Predicted Impact
Meta context sourced from marvelrivals.gg. BuffTracker recommendation is derived.
View meta sourceData Coverage
40
Heroes Tracked
Heroes with balance data in the BuffTracker database.
24
Patches Tracked
23 verified, 1 with limited or suspicious data.
773
Balance Changes
Total buff, nerf, and adjustment entries across all patches.
40
Meta Snapshots
Heroes with competitive meta tier data from public sources.
How BuffTracker Works
Methodology & Trust
BuffTracker combines multiple data sources and deterministic analysis to generate transparent, evidence-backed recommendations. No AI. No hidden magic numbers.
01
Balance Changes
Official Marvel Rivals balance posts are parsed and classified as buffs, nerfs, or adjustments using deterministic keyword analysis.
02
Trend Analysis
Multi-patch history is analyzed to detect improving, declining, or stable trends across a hero's balance timeline.
03
Meta Context
Competitive tier data from public meta pages provides contextual strength signals. Patch impact remains the primary factor.
04
Recommendations
Patch impact (65%) combined with meta context (35%) produces evidence-backed competitive recommendations.
05
Data Coverage
Every recommendation includes a coverage score indicating how much data backs it. High confidence with low coverage means strong signal, limited history.
BuffTracker recommendations are derived from patch impact + meta context. External tier data is attributed to its source. BuffTracker does not claim external data as its own. All analysis is deterministic — no AI/LLM calls.