Kiwi — CS2 Stats
76561198294661712[U:1:334395984]
Rating over time
Faceit ELO
- At peak — 2,292
- Next: 2,500 ELO at 2,500 — 208 to go
- Reached: Level 10 · Level 9 · Level 8 · Level 7
- Level 10 first seen 2026-08-28
- Level 9 first seen 2026-08-28
Premier CS Rating
- At peak — 27,944
- Next: Gold band at 30,000 — 2,056 to go
- Reached: Red band · Pink band · Purple band · Blue band
- Red band first seen 2026-08-28
- Pink band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median |
|---|---|---|
| Headshot rate | 44.8% | 52.8% |
| Shot accuracy | 10.7% | 13.7% |
| Kill/death ratio | 1.04 | 1.08 |
| Match win rate | 63.9% | 49.2% |
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side opener
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match

Plays most like sh1ro 95% playstyle similarity
Most alike: opening-fight frequency, aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Strengths
Aim. Aim score of 99 — the mechanical foundation is a clear strength.
CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 63% on CT to 44% on T — the same duels are being taken with worse setups on the attacking side.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 8.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| S | 38 | 25–13 | 66% | 0.02 | |
| S | 14 | 12–2 | 86% | 0.05 | |
| S | 10 | 7–3 | 70% | 0.02 | |
| S | 8 | 7–1 | 88% | 0.03 | |
| S | 7 | 5–2 | 71% | 0.04 | |
| S | 6 | 6–0 | 100% | 0.04 | |
| S | 6 | 5–1 | 83% | 0.04 | |
| — | 4 | 4–0 | 100% | 0.05 | |
| — | 3 | 1–2 | 33% | 0.03 | |
| — | 3 | 2–1 | 67% | 0.03 | |
| office | — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (66% over 38). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 76 | 61% | 1.09 | 15.6 |
| Anubis | 59 | 54% | 1.08 | 16.5 |
| Mirage | 59 | 46% | 0.95 | 14.0 |
| Ancient | 54 | 44% | 1.01 | 14.9 |
| Inferno | 27 | 63% | 1.18 | 17.5 |
| Vertigo | 26 | 35% | 0.93 | 12.2 |
| Nuke | 10 | 60% | 1.28 | 21.1 |
| Overpass | 9 | 67% | 1.43 | 17.2 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | -0.08 | 17% | 26 Aug → | ||
| 13–5 | -0.04 | 6% | 26 Aug → | ||
| 13–2 | -0.03 | 58% | 26 Aug → | ||
| 12–12 | 0.08 | 29% | 25 Aug → | ||
| 13–11 | 0.05 | 24% | 25 Aug → | ||
| 7–13 | 0.05 | 52% | 25 Aug → | ||
| 10–13 | -0.01 | 18% | 25 Aug → | ||
| 13–6 | 0.02 | 100% | 25 Aug → | ||
| 6–0 | 0.05 | 0% | 25 Aug → | ||
| 5–13 | 0.01 | 27% | 25 Aug → | ||
| office | 7–13 | -0.04 | 57% | 24 Aug → | |
| 9–13 | 0.06 | 22% | 24 Aug → | ||
| 7–13 | 0.01 | 11% | 24 Aug → | ||
| 13–3 | 0.09 | 23% | 24 Aug → | ||
| 10–3 | 0.11 | 40% | 24 Aug → | ||
| 13–5 | 0.09 | 21% | 24 Aug → | ||
| 13–11 | 0.02 | 30% | 24 Aug → | ||
| 9–13 | 0.02 | 22% | 23 Aug → | ||
| 13–7 | -0.02 | 19% | 23 Aug → | ||
| 13–3 | 0.07 | 41% | 23 Aug → | ||
| 6–13 | 0.01 | 20% | 22 Aug → | ||
| 13–7 | 0.03 | 38% | 22 Aug → | ||
| 10–13 | -0.05 | 40% | 22 Aug → | ||
| 13–10 | 0.06 | 31% | 22 Aug → | ||
| 13–10 | 0.03 | 28% | 22 Aug → | ||
| 13–10 | 0.06 | 40% | 22 Aug → | ||
| 13–10 | 0.05 | 39% | 21 Aug → | ||
| 13–6 | 0.05 | 22% | 21 Aug → | ||
| 13–5 | 0.08 | 43% | 21 Aug → | ||
| 13–5 | 0.12 | 42% | 21 Aug → | ||
| 4–13 | -0.02 | 9% | 21 Aug → | ||
| 13–6 | 0.12 | 50% | 21 Aug → | ||
| 13–9 | -0.03 | 35% | 20 Aug → | ||
| 13–11 | 0.02 | 16% | 20 Aug → | ||
| 13–8 | 0.07 | 18% | 19 Aug → | ||
| 7–13 | -0.03 | 26% | 19 Aug → | ||
| 13–3 | 0.01 | 39% | 19 Aug → | ||
| 7–1 | 0.08 | 67% | 19 Aug → | ||
| 13–8 | -0.01 | 17% | 19 Aug → | ||
| 13–1 | 0.08 | 18% | 19 Aug → | ||
| 13–8 | -0.05 | 33% | 19 Aug → | ||
| 13–7 | 0.02 | 21% | 19 Aug → | ||
| 13–9 | 0.06 | 27% | 19 Aug → | ||
| 13–1 | 0.09 | 33% | 19 Aug → | ||
| 2–0 | 0.00 | 0% | 19 Aug → | ||
| 10–13 | -0.01 | 20% | 19 Aug → | ||
| 13–9 | 0.13 | 17% | 19 Aug → | ||
| 13–2 | 0.03 | 13% | 19 Aug → | ||
| 13–4 | -0.05 | 17% | 19 Aug → | ||
| 13–10 | 0.04 | 11% | 18 Aug → | ||
| 13–1 | 0.04 | 50% | 18 Aug → | ||
| 8–13 | -0.02 | 26% | 18 Aug → | ||
| 13–3 | 0.04 | 36% | 18 Aug → | ||
| 11–13 | 0.03 | 39% | 16 Aug → | ||
| 13–8 | 0.04 | 33% | 16 Aug → | ||
| 5–1 | 0.18 | 33% | 16 Aug → | ||
| 9–13 | 0.10 | 29% | 16 Aug → | ||
| 13–6 | 0.04 | 10% | 15 Aug → | ||
| 13–2 | 0.07 | 60% | 15 Aug → | ||
| 8–13 | -0.02 | 21% | 15 Aug → | ||
| 6–13 | 0.06 | 18% | 15 Aug → | ||
| 10–13 | 0.02 | 18% | 15 Aug → | ||
| 13–10 | 0.03 | 32% | 14 Aug → | ||
| 13–10 | 0.05 | 13% | 14 Aug → | ||
| 13–3 | 0.12 | 45% | 14 Aug → | ||
| 13–8 | -0.05 | 15% | 14 Aug → | ||
| 13–11 | 0.04 | 22% | 13 Aug → | ||
| 9–13 | -0.05 | 10% | 13 Aug → | ||
| 13–3 | 0.05 | 10% | 13 Aug → | ||
| 13–8 | -0.07 | 21% | 13 Aug → | ||
| 13–9 | 0.04 | 23% | 13 Aug → | ||
| 13–6 | 0.09 | 21% | 13 Aug → | ||
| 3–13 | -0.03 | 29% | 12 Aug → | ||
| 13–8 | 0.01 | 18% | 11 Aug → | ||
| 13–1 | -0.01 | 44% | 11 Aug → | ||
| 13–11 | 0.09 | 31% | 11 Aug → | ||
| 13–11 | 0.05 | 38% | 11 Aug → | ||
| 13–6 | 0.09 | 33% | 11 Aug → | ||
| 13–6 | 0.09 | 33% | 11 Aug → | ||
| 13–6 | 0.03 | 27% | 11 Aug → | ||
| 13–6 | 0.01 | 21% | 11 Aug → | ||
| 13–5 | 0.01 | 18% | 11 Aug → | ||
| 13–6 | 0.07 | 10% | 11 Aug → | ||
| 10–13 | -0.03 | 29% | 10 Aug → | ||
| 7–13 | -0.07 | 15% | 9 Aug → | ||
| 13–6 | -0.01 | 21% | 9 Aug → | ||
| 13–4 | 0.04 | 28% | 9 Aug → | ||
| 13–3 | -0.01 | 20% | 9 Aug → | ||
| 13–2 | 0.06 | 13% | 9 Aug → | ||
| 13–4 | 0.08 | 0% | 9 Aug → | ||
| 12–12 | 0.06 | 36% | 9 Aug → | ||
| 13–7 | 0.08 | 38% | 9 Aug → | ||
| 13–7 | 0.12 | 21% | 9 Aug → | ||
| 13–11 | 0.03 | 28% | 8 Aug → | ||
| 10–13 | -0.05 | 29% | 8 Aug → | ||
| 13–11 | 0.01 | 29% | 8 Aug → | ||
| 11–2 | 0.05 | 0% | 8 Aug → | ||
| 13–4 | -0.00 | 46% | 8 Aug → | ||
| 13–0 | 0.08 | 0% | 8 Aug → | ||
| 13–3 | 0.00 | 17% | 4 Aug → |
Match data via Leetify.