Anne Nacci Tranberg — CS2 Stats
76561198289109913[U:1:328844185]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=3,953), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 35.0% | 41.5% | 44.2% | 9.2% short |
| Shot accuracy | 11.6% | 9.1% | 11.7% | meets |
| Kill/death ratio | 1.06 | 0.98 | 1.03 | above |
| Match win rate | 41.4% | 43.7% | 45.2% | 3.8% short |
This profile matches the typical Purple band player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp 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 ropz 83% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: lower opening-duel success; 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
T-side openings. Opening success drops from 53% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 651ms 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 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 25 | 8–17 | 32% | 0.01 | |
| D | 19 | 5–14 | 26% | -0.02 | |
| S | 16 | 11–5 | 69% | -0.01 | |
| C | 16 | 7–9 | 44% | 0.02 | |
| D | 8 | 2–6 | 25% | -0.02 | |
| C | 7 | 3–4 | 43% | -0.00 | |
| — | 4 | 2–2 | 50% | -0.04 | |
| — | 3 | 0–3 | 0% | -0.02 | |
| — | 1 | 0–1 | 0% | -0.08 | |
| — | 1 | 1–0 | 100% | 0.00 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Mirage 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 resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Nuke | 51 | 55% | 1.00 | 13.2 |
| Dust2 | 44 | 57% | 1.04 | 14.4 |
| Inferno | 41 | 49% | 1.06 | 14.0 |
| Mirage | 40 | 48% | 0.97 | 13.9 |
| Train | 22 | 55% | 0.96 | 14.4 |
| Ancient | 15 | 33% | 1.01 | 17.1 |
| Anubis | 7 | 71% | 1.28 | 16.0 |
| Vertigo | 2 | 50% | 0.56 | 8.5 |
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 10.4928% — 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 0.4438 — 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 31.0976% — 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.
25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.12 | 7% | 27 Aug → | ||
| 13–7 | -0.03 | 14% | 27 Aug → | ||
| 13–9 | -0.01 | 11% | 16 Aug → | ||
| 5–13 | 0.05 | 14% | 6 Aug → | ||
| 12–16 | -0.01 | 13% | 6 Aug → | ||
| 4–13 | -0.07 | 14% | 6 Aug → | ||
| 13–11 | -0.03 | 10% | 6 Aug → | ||
| 13–11 | -0.03 | 4% | 6 Aug → | ||
| 13–9 | 0.01 | 6% | 6 Aug → | ||
| 13–4 | 0.05 | 5% | 6 Aug → | ||
| 7–13 | 0.00 | 10% | 6 Aug → | ||
| 13–5 | 0.08 | 12% | 31 Jul → | ||
| 13–7 | 0.02 | 25% | 31 Jul → | ||
| 8–13 | -0.06 | 6% | 31 Jul → | ||
| 13–16 | 0.06 | 14% | 31 Jul → | ||
| 14–16 | 0.01 | 10% | 30 Jul → | ||
| 0–13 | -0.09 | 0% | 30 Jul → | ||
| 13–7 | 0.04 | 14% | 30 Jul → | ||
| 7–13 | -0.07 | 9% | 30 Jul → | ||
| 7–13 | 0.01 | 4% | 30 Jul → | ||
| 13–10 | 0.10 | 6% | 29 Jul → | ||
| 16–14 | -0.06 | 5% | 29 Jul → | ||
| 13–1 | 0.16 | 13% | 29 Jul → | ||
| 2–13 | -0.03 | 17% | 27 Jul → | ||
| 12–16 | 0.02 | 14% | 27 Jul → | ||
| 10–13 | -0.05 | 8% | 27 Jul → | ||
| 13–16 | 0.01 | 13% | 27 Jul → | ||
| 4–13 | 0.00 | 15% | 27 Jul → | ||
| 13–11 | 0.09 | 14% | 27 Jul → | ||
| 13–7 | 0.10 | 9% | 27 May → | ||
| 9–13 | -0.03 | 18% | 27 May → | ||
| 6–13 | -0.06 | 7% | 27 May → | ||
| 2–13 | -0.07 | 7% | 27 May → | ||
| 11–13 | -0.03 | 12% | 27 May → | ||
| 10–13 | -0.04 | 13% | 26 May → | ||
| 11–13 | -0.01 | 9% | 26 May → | ||
| 3–13 | 0.09 | 19% | 26 May → | ||
| 5–13 | 0.04 | 11% | 25 May → | ||
| 13–5 | 0.08 | 19% | 25 May → | ||
| 9–13 | 0.05 | 18% | 25 May → | ||
| 6–13 | -0.04 | 16% | 23 May → | ||
| 13–11 | 0.00 | 11% | 23 May → | ||
| 10–13 | -0.05 | 10% | 23 May → | ||
| 13–9 | 0.02 | 4% | 23 May → | ||
| 12–12 | -0.02 | 11% | 21 May → | ||
| 9–13 | -0.06 | 13% | 21 May → | ||
| 9–13 | -0.08 | 3% | 21 May → | ||
| 13–16 | -0.07 | 10% | 19 May → | ||
| 11–13 | 0.00 | 13% | 19 May → | ||
| 13–6 | 0.08 | 15% | 19 May → | ||
| 7–13 | -0.04 | 10% | 18 May → | ||
| 4–13 | -0.02 | 18% | 18 May → | ||
| 13–7 | -0.00 | 19% | 18 May → | ||
| 13–7 | 0.05 | 8% | 17 May → | ||
| 6–13 | -0.04 | 11% | 17 May → | ||
| 13–10 | 0.04 | 5% | 17 May → | ||
| 5–13 | 0.02 | 26% | 17 May → | ||
| 9–13 | 0.03 | 11% | 17 May → | ||
| 13–8 | 0.07 | 24% | 17 May → | ||
| 8–13 | -0.05 | 14% | 16 May → | ||
| 13–7 | 0.03 | 22% | 16 May → | ||
| 5–13 | 0.05 | 21% | 15 May → | ||
| 8–13 | -0.01 | 9% | 15 May → | ||
| 9–13 | 0.01 | 13% | 15 May → | ||
| 5–13 | -0.02 | 5% | 15 May → | ||
| 12–12 | -0.04 | 11% | 15 May → | ||
| 3–13 | -0.00 | 21% | 15 May → | ||
| 7–13 | 0.04 | 19% | 15 May → | ||
| 13–10 | -0.01 | 15% | 12 May → | ||
| 13–2 | 0.02 | 15% | 12 May → | ||
| 8–13 | 0.05 | 18% | 12 May → | ||
| 13–10 | -0.01 | 4% | 11 May → | ||
| 13–9 | -0.02 | 23% | 10 May → | ||
| 5–13 | -0.03 | 17% | 10 May → | ||
| 13–7 | -0.00 | 7% | 10 May → | ||
| 4–13 | -0.08 | 10% | 9 May → | ||
| 13–1 | 0.00 | 11% | 9 May → | ||
| 13–11 | -0.04 | 13% | 9 May → | ||
| 13–10 | -0.01 | 13% | 8 May → | ||
| 13–11 | -0.04 | 9% | 7 May → | ||
| 9–13 | -0.00 | 8% | 7 May → | ||
| 13–4 | 0.09 | 13% | 7 May → | ||
| 15–15 | 0.04 | 10% | 7 May → | ||
| 6–13 | -0.04 | 22% | 7 May → | ||
| 8–13 | -0.06 | 8% | 5 May → | ||
| 13–9 | -0.06 | 6% | 4 May → | ||
| 13–3 | -0.05 | 30% | 4 May → | ||
| 5–13 | -0.05 | 8% | 4 May → | ||
| 8–13 | 0.01 | 13% | 4 May → | ||
| 0–13 | -0.08 | 20% | 2 May → | ||
| 2–13 | -0.04 | 17% | 2 May → | ||
| 15–15 | 0.05 | 9% | 1 May → | ||
| 14–16 | -0.03 | 8% | 1 May → | ||
| 13–1 | 0.05 | 19% | 1 May → | ||
| 3–13 | -0.09 | 23% | 1 May → | ||
| 13–7 | -0.06 | 11% | 28 Apr → | ||
| 16–14 | 0.00 | 6% | 28 Apr → | ||
| 13–9 | 0.02 | 14% | 21 Apr → | ||
| 3–13 | 0.00 | 10% | 21 Apr → | ||
| 8–13 | -0.01 | 8% | 21 Apr → |
Match data via Leetify.