Nienna — CS2 Stats
76561198107879922[U:1:147614194]
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: +0pp win rate · +0.02 avg rating
Player DNA
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 Twistzz 79% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution; lower 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
Areas to improve
Reaction time. 650ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
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 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
| D | 31 | 8–23 | 26% | -0.02 | |
| D | 26 | 8–18 | 31% | 0.00 | |
| A | 13 | 8–5 | 62% | 0.02 | |
| B | 12 | 6–6 | 50% | -0.01 | |
| C | 11 | 4–7 | 36% | 0.01 | |
| A | 5 | 3–2 | 60% | 0.01 | |
| — | 2 | 1–1 | 50% | 0.02 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (26% over 31). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 3 | 100% | 0.40 | 7.7 |
| Inferno | 1 | 0% | 0.40 | 6.0 |
| Train | 1 | 0% | 0.85 | 22.0 |
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.
Recommended for you
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 6.9699% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4417 — below the 0.5 mark we flag
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 36.2374% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
26% win rate across 31 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | 0.07 | 6% | 28 Aug → | ||
| 13–7 | 0.03 | 5% | 28 Aug → | ||
| 11–13 | -0.00 | 11% | 28 Aug → | ||
| 7–13 | -0.05 | 16% | 27 Aug → | ||
| 13–16 | -0.04 | 5% | 27 Aug → | ||
| 9–13 | 0.03 | 10% | 27 Aug → | ||
| 9–1 | 0.13 | 5% | 27 Aug → | ||
| 0–13 | -0.05 | 13% | 26 Aug → | ||
| 7–13 | 0.01 | 13% | 26 Aug → | ||
| 4–13 | -0.06 | 0% | 26 Aug → | ||
| 13–11 | -0.04 | 5% | 26 Aug → | ||
| 13–7 | 0.04 | 7% | 25 Aug → | ||
| 3–13 | -0.04 | 4% | 25 Aug → | ||
| 10–13 | 0.02 | 10% | 25 Aug → | ||
| 5–13 | -0.00 | 5% | 24 Aug → | ||
| 1–13 | -0.06 | 4% | 24 Aug → | ||
| 8–13 | -0.04 | 7% | 24 Aug → | ||
| 10–13 | 0.01 | 6% | 24 Aug → | ||
| 6–13 | -0.01 | 4% | 23 Aug → | ||
| 11–13 | -0.03 | 12% | 23 Aug → | ||
| 13–8 | 0.06 | 9% | 23 Aug → | ||
| 0–13 | -0.04 | 3% | 23 Aug → | ||
| 13–10 | 0.00 | 3% | 23 Aug → | ||
| 13–11 | 0.10 | 3% | 23 Aug → | ||
| 13–7 | 0.09 | 5% | 23 Aug → | ||
| 5–13 | -0.03 | 4% | 23 Aug → | ||
| 9–13 | 0.11 | 5% | 22 Aug → | ||
| 13–11 | -0.01 | 9% | 22 Aug → | ||
| 4–13 | 0.01 | 7% | 22 Aug → | ||
| 3–13 | -0.11 | 9% | 22 Aug → | ||
| 4–13 | 0.04 | 11% | 22 Aug → | ||
| 13–8 | 0.05 | 9% | 22 Aug → | ||
| 11–13 | -0.00 | 10% | 21 Aug → | ||
| 13–4 | 0.07 | 6% | 21 Aug → | ||
| 2–13 | -0.08 | 2% | 21 Aug → | ||
| 9–13 | 0.01 | 4% | 21 Aug → | ||
| 13–11 | 0.03 | 3% | 21 Aug → | ||
| 9–13 | -0.09 | 5% | 17 Aug → | ||
| 5–13 | -0.04 | 14% | 17 Aug → | ||
| 12–12 | -0.04 | 6% | 17 Aug → | ||
| 2–13 | -0.05 | 3% | 17 Aug → | ||
| 6–4 | 0.03 | 14% | 17 Aug → | ||
| 3–13 | -0.08 | 0% | 15 Aug → | ||
| 15–15 | -0.04 | 11% | 15 Aug → | ||
| 13–7 | -0.05 | 6% | 15 Aug → | ||
| 13–10 | -0.01 | 7% | 14 Aug → | ||
| 11–13 | -0.01 | 10% | 14 Aug → | ||
| 13–9 | -0.02 | 7% | 14 Aug → | ||
| 5–9 | 0.00 | 3% | 14 Aug → | ||
| 7–13 | -0.05 | 10% | 13 Aug → | ||
| 13–7 | 0.05 | 6% | 13 Aug → | ||
| 6–13 | -0.02 | 3% | 13 Aug → | ||
| 4–13 | -0.07 | 13% | 13 Aug → | ||
| 13–11 | 0.02 | 2% | 13 Aug → | ||
| 13–8 | -0.01 | 10% | 13 Aug → | ||
| 11–13 | -0.06 | 6% | 12 Aug → | ||
| 5–13 | -0.01 | 9% | 12 Aug → | ||
| 5–13 | -0.03 | 10% | 12 Aug → | ||
| 13–8 | -0.04 | 3% | 12 Aug → | ||
| 13–3 | -0.02 | 2% | 12 Aug → | ||
| 13–11 | 0.03 | 13% | 12 Aug → | ||
| 15–15 | -0.04 | 10% | 12 Aug → | ||
| 13–10 | 0.05 | 10% | 11 Aug → | ||
| 13–3 | 0.03 | 8% | 11 Aug → | ||
| 9–13 | -0.05 | 7% | 11 Aug → | ||
| 10–13 | 0.01 | 8% | 10 Aug → | ||
| 0–13 | -0.07 | 7% | 10 Aug → | ||
| 9–13 | -0.01 | 7% | 10 Aug → | ||
| 13–11 | -0.04 | 1% | 10 Aug → | ||
| 8–13 | 0.01 | 12% | 10 Aug → | ||
| 11–13 | -0.04 | 14% | 9 Aug → | ||
| 13–7 | -0.01 | 6% | 9 Aug → | ||
| 7–13 | 0.05 | 14% | 9 Aug → | ||
| 13–4 | 0.13 | 5% | 9 Aug → | ||
| 1–13 | -0.05 | 9% | 9 Aug → | ||
| 7–13 | -0.09 | 0% | 9 Aug → | ||
| 13–3 | -0.03 | 5% | 9 Aug → | ||
| 13–10 | -0.03 | 4% | 9 Aug → | ||
| 13–8 | -0.06 | 10% | 9 Aug → | ||
| 13–5 | 0.03 | 11% | 9 Aug → | ||
| 6–13 | 0.01 | 7% | 8 Aug → | ||
| 5–13 | 0.07 | 9% | 8 Aug → | ||
| 3–13 | -0.01 | 10% | 8 Aug → | ||
| 13–4 | 0.17 | 5% | 8 Aug → | ||
| 13–1 | 0.12 | 5% | 8 Aug → | ||
| 9–13 | 0.04 | 7% | 8 Aug → | ||
| 13–1 | 0.15 | 5% | 8 Aug → | ||
| 11–13 | 0.03 | 11% | 8 Aug → | ||
| 13–4 | 0.07 | 15% | 6 Aug → | ||
| 7–13 | -0.04 | 6% | 6 Aug → | ||
| 10–13 | -0.02 | 5% | 1 Aug → | ||
| 3–13 | -0.15 | 13% | 31 Jul → | ||
| 16–12 | 0.05 | 5% | 30 Jul → | ||
| 8–13 | -0.02 | 5% | 30 Jul → | ||
| 10–13 | -0.03 | 6% | 29 Jul → | ||
| 13–5 | 0.06 | 14% | 29 Jul → | ||
| 9–13 | -0.04 | 8% | 26 Jul → | ||
| 13–11 | -0.05 | 4% | 25 Jul → | ||
| 11–13 | -0.05 | 12% | 25 Jul → | ||
| 6–13 | -0.06 | 16% | 25 Jul → |
Match data via Leetify.