Select an opposing agent to view detailed head-to-head statistics. Compare Sage's performance in terms of win rate, KDA, damage output, headshot percentage, and attack/defense effectiveness — all based on real competitive Valorant match data.
Analysis of 44 matches reveals that Reyna holds a clear advantage over Sage in this head-to-head matchup, winning 3 out of 4 critical performance metrics. While Sage shows strength in one category, Reyna's overall statistical edge across fragging, damage, and side-specific win rates gives them the upper hand in most engagements.
The Sage vs Reyna matchup in Valorant is a close matchup with a slight statistical edge. Based on 44 competitive matches analyzed, Reyna wins 50.0% of the time compared to Sage's 47.7%, a 2.3 percentage point difference. The most significant gap is in damage output, where Reyna consistently outperforms. In this Sentinel vs Duelist matchup, Reyna holds a minor advantage, but Sage can absolutely secure rounds through good positioning and utility timing. The difference is slim enough that coordinated team plays and winning key aim duels can flip the matchup.
Sage edges out Reyna in a competitive fragging comparison, winning 3 of 5 metrics with notable advantages in KDA efficiency, survivability, headshot accuracy. With only a 3-2 margin based on 44 matches analyzed, this Sage vs Reyna matchup remains contestable for both sides. Reyna shouldn't feel outgunned — the statistical gap is narrow enough that individual skill, positioning choices, and in-game decision making can easily swing specific encounters in Reyna's favor.
Sage has favorable matchups against 12 agents and unfavorable matchups against 13 agents in Valorant. Sage's strongest matchup is against Iso with a 87.5% win rate. The most challenging matchup is Veto at 16.7% win rate. Use the table below to find specific matchup details and performance metrics.
Opponent | Win Rate | Matches | KDA | DMG/Rnd | HS % | Atk WR |
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The attack-side comparison between Sage and Reyna reveals near-perfect parity, with Sage winning 47.3% of attacking rounds compared to Reyna's 47.8%. This negligible 0.5 percentage point difference indicates neither agent possesses inherent advantages when executing onto sites or pushing through chokepoints. When these agents meet on attack, success depends almost entirely on team coordination, execute timing, and individual mechanical skill rather than agent kit superiority.
From a tactical standpoint, neither Sage nor Reyna should adjust their standard attacking approach based on this matchup. Both agents can run their typical execute patterns, default rotations, and lurk timings without worrying about a statistical disadvantage. The data from 44 matches suggests that whichever player has better game sense, utility timing, and raw mechanical aim will win attack-side encounters — there's no agent-based shortcut to victory here.
For entry fragging specifically, both Sage and Reyna players can confidently take the first duel when executing onto sites. Neither agent's abilities create meaningful first-contact advantages over the other, so entry success comes down to crosshair placement, pre-aim quality, and jiggle-peeking technique. Whether you're playing Sage or Reyna, approach site entries with the same confidence you'd have in any other matchup.
Post-plant scenarios in this matchup are similarly balanced. Neither agent demonstrates superior spike defense or retake denial capabilities against the other based on our attack-side data. When the spike is down, focus on standard post-plant fundamentals: positioning for crossfires, using utility to delay defuses, and communicating enemy positions to teammates. The 0.5% difference is small enough to be statistical noise rather than a meaningful advantage.
Defensive performance between Sage and Reyna is virtually identical, with Sage holding 52.2% of rounds on CT side and Reyna at 52.7%. This 0.5 point margin indicates both agents contribute equally when anchoring sites, retaking, or denying post-plants. Neither possesses defensive utility advantages significant enough to swing matchup outcomes.
Both Sage and Reyna can anchor sites with equal effectiveness in this matchup. Whether holding A, B, or mid on any map, neither agent's defensive kit provides meaningful advantages over the other. Site anchor decisions should be based on map knowledge, team composition needs, and personal preference rather than matchup considerations. The 0.5% difference is too small to influence site assignment choices.
Retake scenarios are similarly balanced between Sage and Reyna. Neither agent demonstrates superior retake utility, post-plant clearing ability, or clutch potential against the other based on our defensive data from 44 matches. When retaking against either agent, focus on standard retake fundamentals: utility to clear common spots, coordinated timing with teammates, and trading effectively. Don't adjust your retake approach based on whether you're facing Sage or Reyna.
Economy decisions and utility usage shouldn't change based on this specific matchup during defense. Both agents have comparable force buy success rates, full buy conversion, and utility effectiveness against each other. Make economy calls based on team needs and general defensive principles rather than Sage vs Reyna specific considerations. Your standard defensive utility timing and placement will be equally effective regardless of which agent you're facing.
Reyna maintains a consistent but slim advantage across both sides of the map in this matchup, with 47.8% attack win rate and 52.7% defense win rate. While Reyna is statistically favored regardless of map side, the margins are close enough that Sage remains highly competitive and can win games through strong individual performance.
Map choice and team composition have minimal impact on this specific matchup outcome. Both agents perform similarly across attack-sided, defense-sided, and balanced maps. Pick based on personal comfort, team needs, and broader composition considerations rather than Sage vs Reyna specific factors. The slight Reyna advantage doesn't change based on external factors.
For ranked climbing, don't overthink this matchup. The statistical differences are small enough that individual skill, team coordination, and game sense remain the primary factors determining outcomes. Focus on improving your fundamentals on either agent rather than trying to gain edges through matchup knowledge. Both Sage and Reyna are viable ranked picks with minimal matchup disadvantage.
Bottom line: this is one of the more balanced agent matchups in Valorant. Reyna has a slight statistical edge, but Sage is absolutely viable and can win through skill. If you're comfortable on Sage, don't switch to Reyna just for this matchup — the difference is too small to justify changing your agent pool.
The Sentinel (Sage) vs Duelist (Reyna) dynamic creates asymmetric encounters where each agent brings fundamentally different tools to engagements. Sage's Sentinel abilities serve different purposes than Reyna's Duelist kit, meaning direct fights often feature non-equivalent utility exchanges.
Understanding how Sentinel abilities interact with Duelist counterplay is essential for maximizing your agent's potential. Sage's Sentinel toolkit may excel at certain aspects while Reyna's Duelist kit counters others. The Reyna advantage suggests their role's capabilities translate better to winning these cross-role encounters on average.
| 45.27% | 148 | 1.42 | 134.1 | 29.6% | 47.3% | 50.4% | |
| 48.15% | 81 | 1.49 | 136.2 | 28.4% | 50.6% | ||
| 60.29% | 68 | 1.52 | 133.3 | 29.7% | 51.1% | ||
| 38.98% | 59 | 1.38 | 129.4 | 29.5% | 49.6% | ||
| 41.18% | 51 | 1.52 | 141.5 | 30.0% | 47.3% | ||
| 52.08% | 48 | 1.48 | 135.7 | 26.4% | 50.2% | ||
| 47.73% | 44 | 1.50 | 135.2 | 32.3% | 47.3% | ||
| 58.14% | 43 | 1.47 | 132.8 | 30.1% | 51.7% | ||
| 45.71% | 35 | 1.41 | 134.2 | 29.9% | 50.1% | ||
| 58.06% | 31 | 1.46 | 128.8 | 28.6% | 51.8% | ||
| 53.33% | 30 | 1.47 | 133.8 | 30.4% | 46.4% | ||
| 43.33% | 30 | 1.45 | 138.2 | 31.4% | 47.1% | ||
| 72.00% | 25 | 1.68 | 143.1 | 25.3% | 58.9% | ||
| 54.55% | 22 | 1.47 | 128.6 | 30.7% | 49.1% | ||
| 63.16% | 19 | 1.69 | 152.4 | 30.3% | 51.0% | ||
| 27.27% | 11 | 1.43 | 142.5 | 31.1% | 44.6% | ||
| 81.82% | 11 | 1.35 | 122.0 | 29.2% | 57.0% | ||
| 33.33% | 9 | 1.46 | 148.7 | 31.1% | 38.0% | ||
| 87.50% | 8 | 1.49 | 128.9 | 29.3% | 59.8% | ||
| 71.43% | 7 | 1.56 | 129.9 | 24.5% | 53.8% | ||
| 42.86% | 7 | 1.74 | 150.9 | 35.9% | 50.0% | ||
| 16.67% | 6 | 1.06 | 124.7 | 26.4% | 39.2% | ||
| 50.00% | 6 | 1.49 | 159.5 | 26.9% | 43.8% | ||
| 25.00% | 4 | 1.19 | 112.1 | 36.1% | 39.1% | ||
| 25.00% | 4 | 1.63 | 163.9 | 23.8% | 51.3% |
Sage's best matchup is against Iso, achieving a 87.5% win rate. Sage excels in this matchup through superior fragging ability and favorable utility interactions.
Sage's hardest matchup is against Veto, with only a 16.7% win rate. Against this opponent, Sage should focus on team coordination and utility usage to compensate.
Sage has 12 favorable matchups (50%+ win rate) and 13 unfavorable matchups in Valorant. Understanding these matchup dynamics helps you make better agent picks and adapt your playstyle.
When playing Sage in difficult matchups, prioritize team coordination, utility usage, and crossfires. Avoid isolated 1v1 duels against unfavorable opponents and look for opportunities to use Sage's abilities to create advantages. Adjust your positioning based on whether you're on attack or defense.
Key stats to analyze in Sage's matchups include win rate, KDA ratio, average damage per round, and attack/defense win rates. High damage matchups favor aggressive play, while low KDA matchups suggest playing more supportively and relying on team trades.
Sage vs Reyna is a skill matchup with near-even win rates (47.7% vs 50.0%). Based on 44 matches, see which agent wins in KDA, damage output, attack rounds, and defense rounds to find your edge.
| 50.8% |
| 54.0% |
| 49.5% |
| 50.2% |
| 48.5% |
| 52.2% |
| 55.0% |
| 48.7% |
| 52.3% |
| 54.8% |
| 50.5% |
| 53.8% |
| 55.9% |
| 54.7% |
| 47.2% |
| 58.3% |
| 59.8% |
| 53.5% |
| 59.4% |
| 49.3% |
| 38.9% |
| 53.3% |
| 45.7% |
| 40.5% |