Key Analysis
New York City FC have stronger recent form with 3 wins in their last 5 matches.
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⚽ Football
MLS
🏠
DC United
Home
Scheduled
VS
Match Time
2026-11-07
22:00
✈️
New York City
Away
● DC United 2025 · 15th · 5W 11D 18L (GD -36)
● New York City 2025 · 5th · 17W 5D 12L (GD +6)
New York City favored
48%
Confidence
Medium
- · DC United last 5: 1W 0D 4L
- · Head-to-head 10 matches: home 4W 2D 4L
- · Data-based estimate points the same way
AI analysis 2026-11-01 00:02
·
data as of 2026-11-02 21:19
🎯 Tokti AI Prediction
Prediction
New York City Win
Confidence
66%
How strongly our analysis backs this pick
Predicted Score
1 - 2
Key Analysis Points
- ✓ New York City FC have stronger recent form with 3 wins in their last 5 matches.
- ✓ NYCFC’s defense is statistically superior, conceding fewer goals per game.
- ✓ Head-to-head history slightly favors NYCFC, and they have performed well away from home.
Recommended Bets:
Away Win
(66%)
Over 2.5
(61%)
📊 Win Probability
DC United
New York City
26.0%
26.5%
47.5%
Home 26.0%
Draw 26.5%
Away 47.5%
🟡
YELLOW
Caution
Max probability 47.5% · Gap 21.0%p
Strategy: Uncertain match. Avoid single 1X2 bets — use Double Chance or Over/Under markets below to protect your bankroll.
Analysis data as of 2026-11-02 21:19
📋 Last 5 Matches
Analysis Data · Recent results
DC United
L
L
L
L
W
View 5 recent results
2026-10-29
MLS
Toronto FC
2 : 1
DC United
2026-10-25
MLS
DC United
0 : 2
FC Cincinnati
2026-10-22
MLS
FC Cincinnati
2 : 1
DC United
2026-10-18
MLS
Orlando City
4 : 1
DC United
2026-10-15
MLS
DC United
2 : 1
New York Red Bulls
New York City
W
D
L
L
D
View 5 recent results
2026-10-29
MLS
New York City
2 : 1
Atlanta Utd
2026-10-25
MLS
Orlando City
2 : 2
New York City
2026-10-15
MLS
Inter Miami
2 : 0
New York City
2026-10-11
MLS
Chicago Fire
2 : 1
New York City
2026-09-27
MLS
Atlanta Utd
2 : 2
New York City
⚔️ Head-to-Head
Analysis Data · Recent meetings
Total
10
Home Wins
4
Draws
2
Away Wins
4
Average total goals
2.7
Recent matches
2026-05-04
MLS
New York City
0 - 2
DC United
Home team won
2025-08-31
MLS
New York City
1 - 2
DC United
Home team won
2025-05-15
MLS
DC United
0 - 0
New York City
Draw
2024-09-15
MLS
DC United
1 - 1
New York City
Draw
2024-04-21
MLS
New York City
2 - 0
DC United
Away team won
Last meeting: 2026-05-04 (0-2)
📊 Season Summary
Analysis Data · Current season stats
DC United
Rank
27
Games played
32
Record
7W · 12D · 13L
Standing points
33
Standing points / match
1.03
Goals for / against
39 / 57
Avg goals scored / allowed
1.22 / 1.78
New York City
Rank
22
Games played
31
Record
9W · 10D · 12L
Standing points
37
Standing points / match
1.19
Goals for / against
46 / 43
Avg goals scored / allowed
1.48 / 1.39
More metrics
🕸️ Team Style Comparison
Analysis Data · 5 source indices
DC United
GOAL
33
ATTACK
25
RS
38
RA
17
DEFENSE
57
New York City
GOAL
49
ATTACK
28
RS
42
RA
50
DEFENSE
74
📈 Recent Form Trend
Analysis Data · Last 8 matches performance
DC United
↓
-6.6
Sharp decline
New York City
↓
-5.74
Sharp decline
⚖️ Performance Metrics
Overall · home/away records · recent form
Overall
1.03
Standing points / match
1.19
1.22
Avg goals scored
1.48
1.78
Avg goals allowed
1.39
Home/Away records
1.25
Standing points / match
1.13
1.25
Avg goals scored
1.13
1.75
Avg goals allowed
1.31
Recent
0.5
Standing points / match
1
1.13
Avg goals scored
1.25
2.5
Avg goals allowed
1.5
🔥 Streaks
Analysis Data · Current form indicators
DC United
Overall
Lose 4
Best: Win 2 · Unbeaten 6
At Home
Lose 1
Best: Win 1 · Unbeaten 4
Away
Lose 4
Winless 9
Best: Win 1 · Unbeaten 6
New York City
Overall
Win 1
Unbeaten 2
Best: Win 3 · Unbeaten 4
At Home
Win 1
Best: Win 2 · Unbeaten 3
Away
Unbeaten 1
Winless 4
Best: Win 1 · Unbeaten 4
📚 Season History
Rank and record by season
DC United
| Season | Comp. | Rank | Record | Standing points / win% / GD | Avg goals scored / allowed |
|---|---|---|---|---|---|
| 2025 | Major League Soccer | #15 | 5W 11D 18L | -36 GD | 0.88 / 1.94 |
| 2024 | Major League Soccer | #10 | 10W 10D 14L | -18 GD | 1.53 / 2.06 |
| 2023 | Major League Soccer | #12 | 10W 10D 14L | -4 GD | 1.32 / 1.44 |
| 2022 | Major League Soccer | #14 | 7W 6D 21L | 27 pts -35 GD | 1.06 / 2.09 |
| 2021 | Major League Soccer | #8 | 14W 5D 15L | 47 pts +2 GD | 1.65 / 1.59 |
New York City
| Season | Comp. | Rank | Record | Standing points / win% / GD | Avg goals scored / allowed |
|---|---|---|---|---|---|
| 2025 | Major League Soccer | #5 | 17W 5D 12L | +6 GD | 1.47 / 1.29 |
| 2024 | Major League Soccer | #6 | 14W 8D 12L | +5 GD | 1.59 / 1.44 |
| 2023 | Major League Soccer | #11 | 9W 14D 11L | -4 GD | 1.03 / 1.15 |
| 2022 | Major League Soccer | #3 | 16W 7D 11L | 55 pts +16 GD | 1.68 / 1.21 |
| 2021 | Major League Soccer | #4 | 14W 9D 11L | 51 pts +20 GD | 1.65 / 1.06 |
👥 Squads
Registered players with season stats
DC United
15 playersView squad
| Pos | Player | GP | Goals | Cards |
|---|---|---|---|---|
| FW | 7 Pegeulrou (24) | 5 | 0 | 2 |
| FW | 25 Jackson Hopkins (22) | 5 | 0 | 2 |
| FW | 9 Baribotai | 5 | 3 | - |
| FW | 11 Louis Munteanu Lower body injury | 3 | 0 | - |
| MF | 5 Silban Hepeuti (29) | 5 | 0 | - |
| MF | 23 Brandon Servania (27) | 5 | 0 | - |
| MF | 4 Matti Peltola (24) | 5 | 1 | - |
| MF | 10 Gabeuriel Pirani (26) | 5 | 0 | 1 |
| MF | 30 Kaedeun Keulrakeu (23) | 3 | 0 | - |
| MF | 8 Jared Stroud (30) | 1 | 0 | 1 |
| DF | 3 Lucas Allen Bateulret (29) | 5 | 0 | 1 |
| DF | 6 Keisuke Kurokawa (26) | 5 | 0 | 1 |
| DF | 15 Gye Roulseu (28) | 5 | 0 | - |
| DF | 13 Syon Nilriseu (29) | 3 | 0 | - |
| GK | 1 Sean Johnson (37) | 5 | 0 | - |
New York City
15 playersView squad
| Pos | Player | GP | Goals | Cards |
|---|---|---|---|---|
| FW | 11 Talreseu Mageuno (24) | 5 | 1 | - |
| MF | 5 Kai Teurewin (25) | 5 | 0 | 1 |
| MF | 21 Eideun Onil (28) | 5 | 0 | 2 |
| MF | 26 Axel Agustin Ojeda (22) | 5 | 2 | - |
| MF | 55 Kiteun Alreksandeo Pakeuseu (29) | 5 | 2 | 1 |
| MF | 17 Haneseu Ulpeu (27) | 5 | 1 | - |
| MF | 10 Maksimilriano Moralrejeu (39) | 5 | 1 | 1 |
| MF | 29 Maximo Carrizo (18) | 1 | 0 | - |
| DF | 22 Kevin Otul (28) | 5 | 0 | - |
| DF | 7 Nikolraseu Pereunandeseu Mereukau (26) | 5 | 5 | 1 |
| DF | 24 Taibon Geurei (24) | 5 | 1 | 2 |
| DF | 13 Tiago Matinseu (31) | 5 | 0 | - |
| DF | 34 Raul Guseutabo Pereira Bikalho (27) | 4 | 0 | - |
| DF | 19 Seuteurahinja Tanasiyebichi (29) | 1 | 0 | - |
| GK | 49 Maetyu Peurijeu (28) | 5 | 0 | - |
Detailed Analysis
Match Outlook
NYCFC’s defense is statistically superior, conceding fewer goals per game.
Team Status
Head-to-head history slightly favors NYCFC, and they have performed well away from home.
Stored match probabilities
Probabilities stored with this match. The combined AI forecast is shown separately above.
Home win26.0%
Draw27.0%
Away win47.0%
Stored forecast agreement details
Home Win0%
Draw0%
Away Win100%
🔎 Forecast Agreement
3 of 3 independent forecasts agree with the final pick.
Show each forecast
ChatGPT · Forecast 1
72%Prediction: New York City Win
Score: 1 - 2
- New York City FC have stronger recent form with 3 wins in their last 5 matches.
- NYCFC’s defense is statistically superior, conceding fewer goals per game.
- Head-to-head history slightly favors NYCFC, and they have performed well away from home.
Read full reasoning
Based on 2024 data, New York City FC enter this matchup with better form, a more solid defense, and a slight historical advantage. DC United have struggled with consistency, particularly at home, and key injuries could impact their lineup. NYCFC’s possession-based style and ability to secure results on the road give them a notable edge, though the match could remain competitive given DC’s attacking threats. The prediction leans toward an NYCFC away win with moderate confidence, but a close contest is expected.
Claude · Forecast 2
62%Prediction: New York City Win
Score: 1 - 2
- NYCFC holds superior recent form with 3 wins in last 5 matches vs DC United's mixed 1W-2D-2L record
- NYCFC's defensive strength (1.09 goals conceded per game) significantly better than DC United (1.52 GC/game)
- Historical head-to-head favors NYCFC with recent edge; NYCFC's possession-based approach typically dominates against DC's direct play
- DC United struggles at home defensively (9 conceded in 9 matches) while NYCFC performs solidly away (4W-1D-4L)
Read full reasoning
DC United sit 9th in the Eastern Conference with a -4 goal differential and mixed recent form, while NYCFC occupy 5th with +7 differential and momentum (3 wins in last 5). NYCFC's defensive solidity (6 clean sheets vs DC's 4) and possession-based tactical approach under Cushing exploits DC United's direct, transitional style. Historically, NYCFC has won 8 of ~20 all-time meetings with recent dominance. DC United's home form shows vulnerability, particularly defensively, while NYCFC's away record is respectable. However, DC United's counter-attacking can create opportunities, preventing a higher confidence prediction.
Gemini · Forecast 3
65%Prediction: New York City Win
Score: 1 - 2
- NYCFC's superior defensive organization (1.09 GA/G) versus DC United's defensive struggles (1.52 GA/G).
- Recent head-to-head dominance, with NYCFC winning two of the last three encounters.
- Tactical mismatch between NYCFC's possession control and DC's direct, counter-attacking style.
Read full reasoning
NYCFC enters this fixture as the more balanced side, boasting a significantly stronger defensive record and a more cohesive tactical identity under the current campaign. While DC United remains a threat at home due to the physical presence of Christian Benteke and a direct attacking style, their inconsistency in the backline has led to a negative goal differential. NYCFC's ability to control the midfield through Santiago Rodríguez should allow them to dictate the tempo and limit DC's transition opportunities. Historically, NYCFC has managed to navigate the pressure of Audi Field effectively, and their superior form (3 wins in the last 5) suggests a higher level of confidence compared to DC's mixed results. Given that DC United has struggled to keep clean sheets, NYCFC's clinical attack is likely to find the breakthrough. Expect a tight contest where NYCFC's technical discipline and defensive stability eventually overwhelm DC's high-variance approach.