Research Dashboard

Every war is fought twice — once on the ground, once in the narrative. We track both. Primary source reporting, cross-referenced and scored for reliability, covering every major event since February 2022.

Updated Daily

519,655 events from 219,412 source articles. Data spans 2022-02-24 to 2026-06-08.

Currently processing 202 more historical reports.

Last updated: 2026-06-08 17:14:45 UTC

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War Events

519,655

Since Feb 24, 2022

Sources

219,412

Source articles analyzed

Unique Entities

166,192

People, places, units

Claims

762,047

Individual assertions recorded

Event Types

16

Oblasts Covered

3,786

Years Spanned

5

Events by Type

πŸ’₯ Attack
10.7% 55,475
βš”οΈ Counterattack
0.6% 3,336
πŸ›‘οΈ Defense
3.0% 15,424
✈️ Aerial
2.0% 10,280
βš“ Naval
0.5% 2,746
🏴 Capture
0.5% 2,710
➑️ Movement
3.3% 17,083
πŸ”₯ Destruction
1.8% 9,279
πŸ”§ Sabotage
0.9% 4,599
πŸ“Š Casualties
4.6% 24,118
πŸ—οΈ Infrastructure
8.4% 43,809
πŸ“¦ Delivery
6.0% 30,963
πŸ₯ Humanitarian
2.0% 10,345
βš–οΈ Law Enforcement
6.9% 36,042
🀝 Diplomatic
23.7% 123,300

Showing top 15 of 16 items

Events by Oblast / Region

15.6% 8,769
11.9% 6,682
11.6% 6,531
10.4% 5,837
8.2% 4,587
7.9% 4,403
7.5% 4,231
6.7% 3,781
5.8% 3,247
5.7% 3,212
4.5% 2,505
4.1% 2,281

Entity Types

39.9% 638,053
24.8% 396,683
14.2% 227,363
12.9% 206,707
8.2% 131,484

Claim Confidence Levels

68.1% 518,958
23.8% 181,556
1.0% 7,837

Events by Year

110,398
118,634
158,674
85,793
46,156

Geographic Deep Dive

City-level event distribution, oblast warfare profiles, and how the geographic focus has shifted year to year.

Oblast Theater Profiles

Each oblast has a different warfare signature. The stacked bars show event type composition for the most active oblasts.

1. Donetsk β€” 8,769 events
πŸ’₯ Attack (1386) πŸ“Š Casualties (1263) πŸ—οΈ Infrastructure (1151) ➑️ Movement (1132) πŸ“’ Statement (938) +11 more (2899)
2. Kharkiv β€” 6,682 events
πŸ’₯ Attack (1413) πŸ“Š Casualties (1022) πŸ—οΈ Infrastructure (987) ➑️ Movement (812) βš–οΈ Law Enforcement (534) +11 more (1914)
3. Zaporizhzhia β€” 6,531 events
πŸ’₯ Attack (1457) πŸ—οΈ Infrastructure (1044) ➑️ Movement (794) πŸ“Š Casualties (756) πŸ“’ Statement (554) +11 more (1926)
4. Kherson β€” 5,837 events
πŸ’₯ Attack (1359) πŸ“Š Casualties (1022) πŸ—οΈ Infrastructure (830) ➑️ Movement (549) πŸ“’ Statement (431) +11 more (1646)
5. Kyiv β€” 4,587 events
πŸ—οΈ Infrastructure (819) βš–οΈ Law Enforcement (650) πŸ’₯ Attack (609) πŸ“’ Statement (575) 🀝 Diplomatic (457) +11 more (1477)
6. Dnipropetrovsk β€” 4,403 events
πŸ’₯ Attack (1461) πŸ—οΈ Infrastructure (807) πŸ“Š Casualties (763) βš–οΈ Law Enforcement (303) πŸ“’ Statement (287) +11 more (782)

Geographic Shift by Year

How the top oblasts changed year to year β€” revealing the shifting frontlines of the conflict.

2022 (24,892 events)

2,145
1,774
1,725
1,556

2023 (19,656 events)

2,118
1,566
1,242
1,008

2024 (23,624 events)

2,173
1,866
1,372

2025 (14,562 events)

1,625
1,234
971

2026 (8,022 events)

436

Entity Deep Dive

Detailed breakdown of 173,571 unique entities extracted across military units, weapon systems, people, organizations, and locations.

Entities by Faction

πŸ‡ΊπŸ‡¦ Ukrainian
52.1% 12,745
πŸ‡·πŸ‡Ί Russian
36.7% 8,969
🌍 Western
9.6% 2,341
🌐 International
1.7% 417

Faction attribution based on entity name analysis. "Unattributed" indicates entities not yet classified to a specific faction.

Weapon System Categories

11.3% 2,290
10.8% 2,190
8.0% 1,618
5.9% 1,208

Military Unit Categories

47.1% 10,236
13.6% 2,966
2.5% 543

Deeper Analysis

Temporal patterns, co-occurrence analysis, and data quality metrics.

New Entities by Year

2022
51,813
2023
33,103
2024
42,824
2025
20,679
2026
10,642

Number of entities appearing for the first time each year.

Event Type Evolution

How the composition of event types has shifted year-to-year.

Type 20222023202420252026
Attack 9.8% 9.8% 9.8% 12.4% 14.8%
Statement 32.8% 23.5% 23.9% 20.9% 21.8%
Movement 5.5% 3% 2.5% 2.7% 2.4%
Diplomatic 14.4% 24.8% 25.3% 29.8% 26.5%
Capture 1.1% 0.3% 0.3% 0.6% 0.4%

Weapon-Unit Co-occurrence

Shahed-136 drone Γ— Russian Armed Forces
996
S-300 missile system Γ— Russian Armed Forces
541
T-72 tank Γ— Russian Armed Forces
502
Shahed-136 drone Γ— Ukrainian Air Force
461
Shahed-136 drone Γ— Russian forces
414
HIMARS Γ— Ukrainian Armed Forces
384
HIMARS Γ— Russian Armed Forces
379
MLRS Γ— Russian Armed Forces
347
S-300 missile system Γ— Armed Forces of Ukraine
346
artillery Γ— Russian Armed Forces
343
artillery Γ— Russian forces
340
Shahed-136 drone Γ— Ukrainian Armed Forces
336

How often specific weapons and military units are mentioned together in the same event.

Events per Story

0 events
2.4% 11
1–5
12.0% 55
6–10
20.5% 94
11–20
47.7% 219
21–30
16.1% 74
31+
1.3% 6

Event Density Stats

Average events per story 13.7
Median events per story 14
Maximum events in one story 40
Stories with events 448 / 459
Stories without events 11

Data Notes

  • Events are extracted from 7 primary sources (Stefan Korshak, Kyiv Independent, Ukrainska Pravda, Meduza, Novaya Gazeta Europe, and others) using AI (Kimi K2.5), then cross-referenced against ISW, wire services (Reuters, AP, AFP), and government sources.
  • Each event may have multiple claims from different sources, each with its own confidence level (certain, likely, uncertain, or analytical).
  • Confidence tiers (verified, likely, contested, uncorroborated, debunked) are computed from a weighted reliability algorithm, not editorial judgment.
  • Geographic data is based on location mentions in source text. No events are geocoded to coordinates yet.
  • Entity extraction covers people, military units, weapon systems, organizations, and locations, with faction attribution (Ukrainian, Russian, Western, international).
  • Click any chart label to explore matching events in the Event Explorer.