Research Dashboard

We track what's happening on the ground and the stories about each event. Primary source reporting, cross-referenced and scored for reliability, covering every major event since February 2022.

Updated Daily

551,017 events from 227,292 source articles. Data spans 2022-02-24 to 2026-09-01.

Currently processing 220 more historical reports.

Last updated: 2026-09-01 22:38:17 UTC

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War Events

551,017

Since Feb 24, 2022

Sources

227,292

Source articles analyzed

Unique Entities

174,123

People, places, units

Claims

804,897

Individual assertions recorded

Event Types

16

Oblasts Covered

3,974

Years Spanned

5

Events by Type

πŸ’₯ Attack
10.9% 60,157
βš”οΈ Counterattack
0.7% 3,597
πŸ›‘οΈ Defense
2.9% 16,184
✈️ Aerial
2.1% 11,426
βš“ Naval
0.5% 2,931
🏴 Capture
0.5% 2,844
➑️ Movement
3.3% 18,019
πŸ”₯ Destruction
1.7% 9,642
πŸ”§ Sabotage
1.0% 5,273
πŸ“Š Casualties
4.7% 25,658
πŸ—οΈ Infrastructure
8.4% 46,552
πŸ“¦ Delivery
5.8% 31,916
πŸ₯ Humanitarian
2.0% 10,775
βš–οΈ Law Enforcement
7.0% 38,558
🀝 Diplomatic
23.7% 130,403

Showing top 15 of 16 items

Events by Oblast / Region

15.6% 9,322
11.8% 7,088
11.7% 6,983
10.4% 6,195
8.3% 4,972
7.9% 4,715
7.6% 4,525
6.5% 3,904
6.1% 3,630
5.8% 3,475
4.4% 2,617
4.0% 2,410

Entity Types

39.8% 675,664
24.6% 418,103
14.6% 247,328
12.7% 215,959
8.4% 142,345

Events by Year

111,256
120,072
160,838
87,210
71,641

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€” 9,322 events
πŸ’₯ Attack (1519) πŸ“Š Casualties (1350) πŸ—οΈ Infrastructure (1205) ➑️ Movement (1190) πŸ“’ Statement (998) +11 more (3060)
2. Kharkiv β€” 7,088 events
πŸ’₯ Attack (1521) πŸ“Š Casualties (1093) πŸ—οΈ Infrastructure (1042) ➑️ Movement (848) βš–οΈ Law Enforcement (561) +11 more (2023)
3. Zaporizhzhia β€” 6,983 events
πŸ’₯ Attack (1587) πŸ—οΈ Infrastructure (1115) ➑️ Movement (832) πŸ“Š Casualties (823) πŸ“’ Statement (583) +11 more (2043)
4. Kherson β€” 6,195 events
πŸ’₯ Attack (1462) πŸ“Š Casualties (1081) πŸ—οΈ Infrastructure (899) ➑️ Movement (569) πŸ“’ Statement (456) +11 more (1728)
5. Kyiv β€” 4,972 events
πŸ—οΈ Infrastructure (892) βš–οΈ Law Enforcement (705) πŸ’₯ Attack (682) πŸ“’ Statement (610) 🀝 Diplomatic (485) +11 more (1598)
6. Dnipropetrovsk β€” 4,715 events
πŸ’₯ Attack (1553) πŸ—οΈ Infrastructure (871) πŸ“Š Casualties (837) βš–οΈ Law Enforcement (318) πŸ“’ Statement (305) +11 more (831)

Geographic Shift by Year

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

2022 (25,185 events)

2,192
1,805
1,766
1,577

2023 (19,950 events)

2,166
1,587
1,265
1,022

2024 (24,072 events)

2,230
1,911
1,394

2025 (14,838 events)

1,657
1,241
984

2026 (13,580 events)

1,077
725

Entity Deep Dive

Detailed breakdown of 172,739 unique entities extracted across military units, weapon systems, people, organizations, and locations.

Entities by Faction

πŸ‡ΊπŸ‡¦ Ukrainian
51.8% 12,637
πŸ‡·πŸ‡Ί Russian
36.9% 9,002
🌍 Western
9.7% 2,358
🌐 International
1.7% 403

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

Weapon System Categories

11.4% 2,385
11.4% 2,382
7.9% 1,646
5.4% 1,137

Military Unit Categories

47.6% 10,203
13.5% 2,894
2.6% 552

Deeper Analysis

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

New Entities by Year

2022
56,576
2023
34,091
2024
43,545
2025
21,043
2026
17,484

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% 9.9% 12.4% 15.1%
Statement 32.7% 23.4% 23.8% 20.7% 22.8%
Movement 5.6% 3.1% 2.5% 2.7% 2.5%
Diplomatic 14.4% 24.8% 25.2% 29.7% 25.2%
Capture 1.1% 0.3% 0.3% 0.6% 0.4%

Weapon-Unit Co-occurrence

Shahed-136 drone Γ— Russian Armed Forces
1,037
S-300 missile system Γ— Russian Armed Forces
548
T-72 tank Γ— Russian Armed Forces
508
Shahed-136 drone Γ— Ukrainian Air Force
476
Shahed-136 drone Γ— Russian forces
454
HIMARS Γ— Ukrainian Armed Forces
387
HIMARS Γ— Russian Armed Forces
380
artillery Γ— Russian forces
358
MLRS Γ— Russian Armed Forces
352
Shahed-136 drone Γ— Ukrainian Armed Forces
350
artillery Γ— Russian Armed Forces
349
S-300 missile system Γ— Armed Forces of Ukraine
346

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

Events per Story

0 events
3.2% 15
1–5
11.4% 54
6–10
20.2% 96
11–20
47.4% 225
21–30
16.4% 78
31+
1.5% 7

Event Density Stats

Average events per story 13.8
Median events per story 14
Maximum events in one story 40
Stories with events 460 / 475
Stories without events 15

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.