Tapewaare — CS2 Stats
PROCopenhagen WolvesNorwayIGLSettings & gear profile →
NO76561198930218135[U:1:969952407]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 3,743
- Next: 4,000 ELO at 4,000 — 257 to go
- Reached: 3,500 ELO · 3,000 ELO · 2,500 ELO · Level 10
- 3,500 ELO first seen 2026-08-28
- 3,000 ELO first seen 2026-08-28
Premier CS Rating
- At peak — 28,687
- Next: Gold band at 30,000 — 1,313 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.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 Twistzz 96% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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 89 — the mechanical foundation is a clear strength.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 11.2° off target when enemies appear — placement, not flicking, is the bigger win available.
T-side openings. Opening success drops from 53% on CT to 29% 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 6.8/10 (Solid), 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 |
|---|---|---|---|---|---|
| A | 32 | 20–12 | 63% | 0.02 | |
| A | 21 | 12–9 | 57% | 0.01 | |
| D | 14 | 4–10 | 29% | 0.01 | |
| D | 10 | 0–10 | 0% | -0.02 | |
| D | 9 | 3–6 | 33% | -0.01 | |
| A | 7 | 4–3 | 57% | 0.05 | |
| S | 6 | 5–1 | 83% | 0.03 | |
| — | 1 | 1–0 | 100% | 0.04 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (0% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 597 | 55% | 1.20 | 17.3 |
| Mirage | 500 | 59% | 1.20 | 17.2 |
| Anubis | 341 | 56% | 1.12 | 16.3 |
| Nuke | 201 | 51% | 1.16 | 16.2 |
| Dust2 | 138 | 51% | 1.08 | 16.0 |
| Inferno | 112 | 59% | 1.25 | 17.0 |
| Vertigo | 108 | 62% | 1.18 | 17.2 |
| Overpass | 80 | 62% | 1.33 | 18.4 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Inventory
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 | |
|---|---|---|---|---|---|
| 22–20 | 0.01 | 17% | 26 Aug → | ||
| 11–13 | 0.05 | 40% | 26 Aug → | ||
| 11–13 | -0.02 | 39% | 26 Aug → | ||
| 4–13 | -0.05 | 53% | 24 Aug → | ||
| 11–13 | -0.08 | 28% | 24 Aug → | ||
| 10–13 | -0.03 | 26% | 22 Aug → | ||
| 11–13 | -0.08 | 8% | 22 Aug → | ||
| 13–8 | 0.02 | 26% | 20 Aug → | ||
| 11–13 | 0.02 | 34% | 20 Aug → | ||
| 13–10 | -0.04 | 20% | 20 Aug → | ||
| 13–2 | 0.02 | 28% | 19 Aug → | ||
| 13–8 | 0.07 | 41% | 19 Aug → | ||
| 6–13 | -0.05 | 19% | 19 Aug → | ||
| 11–13 | 0.05 | 27% | 31 Jul → | ||
| 13–11 | 0.02 | 43% | 31 Jul → | ||
| 8–13 | -0.05 | 20% | 31 Jul → | ||
| 13–7 | 0.02 | 38% | 28 Jul → | ||
| 13–9 | -0.02 | 20% | 28 Jul → | ||
| 3–13 | 0.03 | 18% | 27 Jul → | ||
| 13–5 | -0.03 | 19% | 27 Jul → | ||
| 13–6 | 0.05 | 35% | 27 Jul → | ||
| 10–13 | -0.02 | 30% | 10 Jun → | ||
| 9–13 | -0.04 | 34% | 10 Jun → | ||
| 14–16 | 0.02 | 22% | 3 Jun → | ||
| 8–13 | -0.01 | 18% | 3 Jun → | ||
| 10–13 | -0.05 | 23% | 1 Jun → | ||
| 13–6 | 0.02 | 38% | 1 Jun → | ||
| 13–5 | 0.00 | 32% | 1 Jun → | ||
| 6–13 | -0.03 | 20% | 31 May → | ||
| 15–15 | -0.00 | 44% | 27 May → | ||
| 13–6 | 0.13 | 35% | 27 May → | ||
| 13–5 | 0.04 | 30% | 26 May → | ||
| 7–13 | 0.00 | 38% | 25 May → | ||
| 13–10 | 0.05 | 33% | 25 May → | ||
| 6–13 | -0.04 | 14% | 25 May → | ||
| 6–13 | -0.04 | 14% | 22 May → | ||
| 16–19 | 0.01 | 18% | 22 May → | ||
| 13–16 | -0.07 | 29% | 20 May → | ||
| 5–13 | 0.00 | 21% | 20 May → | ||
| 9–13 | 0.03 | 26% | 19 May → | ||
| 13–16 | -0.04 | 23% | 19 May → | ||
| 13–1 | 0.17 | 27% | 18 May → | ||
| 6–2 | 0.12 | 41% | 18 May → | ||
| 13–10 | 0.02 | 30% | 18 May → | ||
| 13–10 | 0.01 | 29% | 17 May → | ||
| 13–10 | 0.03 | 30% | 17 May → | ||
| 13–7 | 0.14 | 33% | 16 May → | ||
| 13–1 | 0.13 | 42% | 16 May → | ||
| 13–3 | -0.02 | 33% | 16 May → | ||
| 13–1 | -0.03 | 33% | 16 May → | ||
| 13–5 | 0.08 | 35% | 15 May → | ||
| 11–13 | 0.03 | 27% | 15 May → | ||
| 13–0 | -0.00 | 23% | 15 May → | ||
| 13–8 | -0.05 | 33% | 15 May → | ||
| 4–13 | -0.06 | 28% | 15 May → | ||
| 13–4 | -0.03 | 8% | 15 May → | ||
| 12–16 | -0.02 | 47% | 14 May → | ||
| 10–13 | -0.01 | 21% | 14 May → | ||
| 13–11 | -0.04 | 24% | 7 May → | ||
| 13–9 | 0.04 | 28% | 5 May → | ||
| 13–5 | 0.17 | 28% | 5 May → | ||
| 13–11 | 0.06 | 39% | 4 May → | ||
| 13–7 | 0.05 | 44% | 2 May → | ||
| 11–13 | -0.03 | 29% | 29 Apr → | ||
| 2–13 | -0.02 | 16% | 29 Apr → | ||
| 13–11 | 0.10 | 30% | 25 Apr → | ||
| 9–13 | 0.20 | 38% | 24 Apr → | ||
| 13–8 | 0.21 | 24% | 24 Apr → | ||
| 8–13 | 0.18 | 39% | 23 Apr → | ||
| 6–13 | 0.25 | 26% | 23 Apr → | ||
| 13–5 | 0.16 | 37% | 23 Apr → | ||
| 9–13 | 0.11 | 29% | 23 Apr → | ||
| 13–0 | 0.02 | 57% | 21 Apr → | ||
| 13–10 | -0.00 | 31% | 14 Apr → | ||
| 13–9 | 0.12 | 32% | 11 Apr → | ||
| 4–13 | -0.01 | 30% | 7 Apr → | ||
| 13–7 | 0.21 | 43% | 7 Apr → | ||
| 0–13 | -0.13 | 5% | 2 Apr → | ||
| 9–13 | -0.03 | 15% | 2 Apr → | ||
| 13–10 | -0.02 | 27% | 2 Apr → | ||
| 0–13 | -0.13 | 5% | 2 Apr → | ||
| 13–10 | -0.02 | 27% | 2 Apr → | ||
| 9–13 | -0.03 | 15% | 2 Apr → | ||
| 13–11 | -0.05 | 23% | 1 Apr → | ||
| 4–13 | -0.05 | 20% | 1 Apr → | ||
| 13–8 | -0.03 | 21% | 1 Apr → | ||
| 13–11 | -0.05 | 23% | 1 Apr → | ||
| 4–13 | -0.05 | 20% | 1 Apr → | ||
| 10–13 | -0.00 | 27% | 1 Apr → | ||
| 13–8 | 0.01 | 23% | 1 Apr → | ||
| 13–6 | 0.04 | 24% | 1 Apr → | ||
| 10–13 | -0.00 | 27% | 1 Apr → | ||
| 13–8 | 0.01 | 23% | 1 Apr → | ||
| 1–13 | -0.09 | 13% | 1 Apr → | ||
| 8–13 | 0.02 | 32% | 1 Apr → | ||
| 1–13 | -0.09 | 13% | 1 Apr → | ||
| 8–13 | 0.02 | 32% | 1 Apr → | ||
| 9–13 | -0.04 | 23% | 31 Mar → | ||
| 9–13 | -0.04 | 23% | 31 Mar → | ||
| 13–10 | 0.02 | 17% | 31 Mar → |
Match data via Leetify.