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

535,909 events from 223,782 source articles. Data spans 2022-02-24 to 2026-08-01.

Currently processing 315 more historical reports.

Last updated: 2026-08-02 02:24:13 UTC

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War Events

535,909

Since Feb 24, 2022

Sources

223,782

Source articles analyzed

Unique Entities

169,961

People, places, units

Claims

784,030

Individual assertions recorded

Event Types

16

Oblasts Covered

3,912

Years Spanned

5

Events by Type

πŸ’₯ Attack
10.8% 58,034
βš”οΈ Counterattack
0.6% 3,391
πŸ›‘οΈ Defense
2.9% 15,790
✈️ Aerial
2.0% 10,607
βš“ Naval
0.5% 2,862
🏴 Capture
0.5% 2,762
➑️ Movement
3.3% 17,510
πŸ”₯ Destruction
1.7% 9,361
πŸ”§ Sabotage
0.9% 4,666
πŸ“Š Casualties
4.7% 24,927
πŸ—οΈ Infrastructure
8.5% 45,390
πŸ“¦ Delivery
5.8% 31,342
πŸ₯ Humanitarian
1.9% 10,435
βš–οΈ Law Enforcement
6.9% 36,837
🀝 Diplomatic
23.7% 127,274

Showing top 15 of 16 items

Events by Oblast / Region

15.5% 8,971
11.9% 6,853
11.6% 6,732
10.4% 6,001
8.2% 4,753
7.9% 4,565
7.6% 4,379
6.6% 3,827
6.0% 3,464
5.8% 3,333
4.4% 2,561
4.1% 2,349

Entity Types

39.7% 653,953
24.8% 407,686
14.3% 235,670
12.9% 212,751
8.3% 136,091

Events by Year

110,423
118,670
158,732
85,932
62,152

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€” 8,971 events
πŸ’₯ Attack (1440) πŸ“Š Casualties (1297) πŸ—οΈ Infrastructure (1174) ➑️ Movement (1158) πŸ“’ Statement (969) +11 more (2933)
2. Kharkiv β€” 6,853 events
πŸ’₯ Attack (1466) πŸ“Š Casualties (1056) πŸ—οΈ Infrastructure (1019) ➑️ Movement (823) βš–οΈ Law Enforcement (539) +11 more (1950)
3. Zaporizhzhia β€” 6,732 events
πŸ’₯ Attack (1519) πŸ—οΈ Infrastructure (1082) ➑️ Movement (813) πŸ“Š Casualties (795) πŸ“’ Statement (570) +11 more (1953)
4. Kherson β€” 6,001 events
πŸ’₯ Attack (1407) πŸ“Š Casualties (1053) πŸ—οΈ Infrastructure (874) ➑️ Movement (555) πŸ“’ Statement (444) +11 more (1668)
5. Kyiv β€” 4,753 events
πŸ—οΈ Infrastructure (859) βš–οΈ Law Enforcement (672) πŸ’₯ Attack (642) πŸ“’ Statement (595) 🀝 Diplomatic (465) +11 more (1520)
6. Dnipropetrovsk β€” 4,565 events
πŸ’₯ Attack (1517) πŸ—οΈ Infrastructure (847) πŸ“Š Casualties (807) βš–οΈ Law Enforcement (306) πŸ“’ Statement (296) +11 more (792)

Geographic Shift by Year

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

2022 (24,894 events)

2,145
1,774
1,725
1,557

2023 (19,658 events)

2,119
1,566
1,242
1,008

2024 (23,626 events)

2,173
1,866
1,372

2025 (14,575 events)

1,625
1,234
971

2026 (11,127 events)

584

Entity Deep Dive

Detailed breakdown of 177,420 unique entities extracted across military units, weapon systems, people, organizations, and locations.

Entities by Faction

πŸ‡ΊπŸ‡¦ Ukrainian
51.8% 12,979
πŸ‡·πŸ‡Ί Russian
36.9% 9,236
🌍 Western
9.6% 2,407
🌐 International
1.7% 420

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

Weapon System Categories

11.4% 2,396
11.1% 2,322
7.9% 1,654
5.8% 1,216

Military Unit Categories

47.1% 10,400
13.6% 3,010
2.5% 551

Deeper Analysis

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

New Entities by Year

2022
51,812
2023
33,108
2024
42,838
2025
20,717
2026
14,381

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% 15.1%
Statement 32.8% 23.5% 23.9% 20.9% 23.5%
Movement 5.5% 3% 2.5% 2.7% 2.4%
Diplomatic 14.4% 24.8% 25.3% 29.8% 26%
Capture 1.1% 0.3% 0.3% 0.6% 0.4%

Weapon-Unit Co-occurrence

Shahed-136 drone Γ— Russian Armed Forces
1,032
S-300 missile system Γ— Russian Armed Forces
547
T-72 tank Γ— Russian Armed Forces
508
Shahed-136 drone Γ— Ukrainian Air Force
474
Shahed-136 drone Γ— Russian forces
448
HIMARS Γ— Ukrainian Armed Forces
385
HIMARS Γ— Russian Armed Forces
380
MLRS Γ— Russian Armed Forces
352
Shahed-136 drone Γ— Ukrainian Armed Forces
349
artillery Γ— Russian Armed Forces
348
artillery Γ— Russian forces
348
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
3.0% 14
1–5
11.5% 54
6–10
20.4% 96
11–20
47.7% 224
21–30
16.2% 76
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 456 / 470
Stories without events 14

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.