Addy — CS2 Stats
US76561198128236409[U:1:167970681]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=918), 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 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 43.8% | 44.2% | 44.9% | 1.1% short |
| Shot accuracy | 9.0% | 11.2% | 11.8% | 2.8% short |
| Kill/death ratio | 1.00 | 1.04 | 1.04 | 0.04 short |
| Match win rate | 37.2% | 45.3% | 45.3% | 8.1% short |
This profile sits below the typical Level 6 player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Level 6 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: +0pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 NiKo 94% playstyle similarity
Most alike: opening-duel success, utility contribution.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
CSDB Rating breakdown
Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 | 22 | 13–9 | 59% | 0.02 | |
| S | 18 | 13–5 | 72% | 0.01 | |
| B | 14 | 7–7 | 50% | 0.03 | |
| B | 13 | 7–6 | 54% | 0.02 | |
| S | 13 | 9–4 | 69% | 0.01 | |
| C | 11 | 4–7 | 36% | -0.01 | |
| C | 9 | 4–5 | 44% | 0.02 |
Across the last 100 tracked matches.
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 resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 5 | 60% | 1.08 | 14.4 |
| Dust2 | 3 | 33% | 0.89 | 13.0 |
| Nuke | 2 | 100% | 0.93 | 13.5 |
| Train | 1 | 0% | 0.65 | 11.0 |
| Inferno | 1 | 100% | 1.00 | 14.0 |
| Ancient | 1 | 0% | 1.00 | 14.0 |
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 13.946% — below the 15% 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 36.4055% — 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.
36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | 0.02 | 5% | 29 Aug → | ||
| 11–13 | 0.02 | 7% | 29 Aug → | ||
| 13–2 | 0.02 | 15% | 29 Aug → | ||
| 10–13 | -0.03 | 7% | 29 Aug → | ||
| 13–11 | -0.00 | 14% | 29 Aug → | ||
| 13–8 | 0.06 | 23% | 29 Aug → | ||
| 13–9 | 0.09 | 17% | 29 Aug → | ||
| 13–5 | 0.07 | 19% | 28 Aug → | ||
| 9–13 | -0.04 | 15% | 28 Aug → | ||
| 13–7 | 0.05 | 15% | 28 Aug → | ||
| 2–9 | -0.02 | 13% | 28 Aug → | ||
| 16–14 | -0.04 | 10% | 28 Aug → | ||
| 13–10 | 0.10 | 9% | 27 Aug → | ||
| 13–8 | 0.04 | 5% | 27 Aug → | ||
| 6–13 | -0.03 | 11% | 27 Aug → | ||
| 16–12 | 0.05 | 19% | 27 Aug → | ||
| 13–10 | -0.01 | 17% | 22 Aug → | ||
| 8–13 | -0.01 | 10% | 22 Aug → | ||
| 9–13 | -0.03 | 21% | 22 Aug → | ||
| 13–7 | 0.12 | 11% | 22 Aug → | ||
| 13–8 | 0.10 | 21% | 22 Aug → | ||
| 2–13 | -0.07 | 8% | 22 Aug → | ||
| 6–13 | -0.09 | 7% | 22 Aug → | ||
| 13–11 | 0.04 | 12% | 22 Aug → | ||
| 11–13 | 0.00 | 15% | 22 Aug → | ||
| 13–8 | 0.10 | 23% | 22 Aug → | ||
| 13–1 | 0.15 | 18% | 22 Aug → | ||
| 13–10 | -0.02 | 20% | 21 Aug → | ||
| 13–11 | 0.03 | 11% | 21 Aug → | ||
| 13–16 | 0.01 | 16% | 17 Aug → | ||
| 11–13 | -0.02 | 10% | 17 Aug → | ||
| 14–16 | -0.00 | 14% | 17 Aug → | ||
| 13–10 | 0.00 | 4% | 17 Aug → | ||
| 15–15 | 0.09 | 12% | 16 Aug → | ||
| 7–13 | -0.02 | 13% | 16 Aug → | ||
| 15–15 | 0.03 | 12% | 16 Aug → | ||
| 13–10 | -0.03 | 15% | 16 Aug → | ||
| 16–12 | 0.07 | 9% | 15 Aug → | ||
| 6–13 | -0.02 | 17% | 15 Aug → | ||
| 13–7 | 0.07 | 21% | 15 Aug → | ||
| 13–10 | -0.00 | 22% | 15 Aug → | ||
| 2–13 | -0.08 | 0% | 15 Aug → | ||
| 13–7 | 0.04 | 13% | 14 Aug → | ||
| 8–13 | 0.05 | 23% | 10 Aug → | ||
| 10–13 | -0.00 | 14% | 10 Aug → | ||
| 13–11 | -0.01 | 8% | 10 Aug → | ||
| 13–5 | 0.01 | 15% | 10 Aug → | ||
| 13–10 | 0.16 | 13% | 6 Aug → | ||
| 10–13 | -0.00 | 11% | 6 Aug → | ||
| 7–13 | -0.04 | 17% | 5 Aug → | ||
| 4–9 | 0.05 | 22% | 5 Aug → | ||
| 5–13 | -0.03 | 12% | 5 Aug → | ||
| 14–16 | -0.04 | 18% | 5 Aug → | ||
| 2–13 | -0.03 | 10% | 5 Aug → | ||
| 13–9 | 0.06 | 8% | 4 Aug → | ||
| 13–10 | 0.07 | 14% | 4 Aug → | ||
| 8–13 | 0.04 | 6% | 3 Aug → | ||
| 11–13 | 0.08 | 10% | 3 Aug → | ||
| 13–3 | 0.00 | 18% | 2 Aug → | ||
| 13–2 | 0.01 | 21% | 2 Aug → | ||
| 13–10 | 0.03 | 11% | 2 Aug → | ||
| 13–11 | -0.01 | 8% | 2 Aug → | ||
| 13–11 | 0.06 | 15% | 2 Aug → | ||
| 5–13 | -0.01 | 11% | 2 Aug → | ||
| 16–14 | 0.00 | 17% | 2 Aug → | ||
| 11–13 | -0.06 | 21% | 2 Aug → | ||
| 13–10 | 0.07 | 19% | 2 Aug → | ||
| 13–10 | 0.03 | 14% | 1 Aug → | ||
| 16–14 | 0.04 | 13% | 1 Aug → | ||
| 13–9 | -0.04 | 6% | 1 Aug → | ||
| 12–16 | -0.01 | 9% | 1 Aug → | ||
| 13–11 | -0.02 | 17% | 1 Aug → | ||
| 6–13 | -0.02 | 9% | 1 Aug → | ||
| 11–13 | -0.03 | 12% | 1 Aug → | ||
| 10–13 | -0.10 | 9% | 1 Aug → | ||
| 9–13 | -0.06 | 15% | 1 Aug → | ||
| 11–13 | 0.04 | 19% | 31 Jul → | ||
| 15–15 | -0.01 | 10% | 29 Jul → | ||
| 13–8 | 0.00 | 15% | 29 Jul → | ||
| 13–11 | -0.02 | 19% | 28 Jul → | ||
| 4–13 | -0.05 | 10% | 26 Jul → | ||
| 13–10 | -0.01 | 20% | 26 Jul → | ||
| 13–3 | -0.08 | 26% | 25 Jul → | ||
| 13–11 | 0.09 | 13% | 19 Jul → | ||
| 13–10 | 0.01 | 13% | 19 Jul → | ||
| 15–15 | -0.03 | 14% | 19 Jul → | ||
| 13–7 | 0.03 | 22% | 19 Jul → | ||
| 13–10 | 0.02 | 18% | 17 Jul → | ||
| 16–13 | -0.01 | 13% | 17 Jul → | ||
| 13–9 | -0.02 | 10% | 17 Jul → | ||
| 13–4 | 0.05 | 9% | 17 Jul → | ||
| 13–5 | 0.04 | 10% | 17 Jul → | ||
| 13–9 | 0.03 | 19% | 17 Jul → | ||
| 8–13 | -0.01 | 16% | 17 Jul → | ||
| 13–1 | 0.13 | 12% | 17 Jul → | ||
| 13–11 | 0.03 | 19% | 17 Jul → | ||
| 13–7 | 0.06 | 20% | 17 Jul → | ||
| 11–13 | -0.05 | 12% | 17 Jul → | ||
| 13–2 | 0.02 | 13% | 17 Jul → | ||
| 11–13 | -0.01 | 9% | 16 Jul → |
Match data via Leetify.