smithy werben jager man jansen — CS2 Stats
76561199222572538[U:1:1262306810]✓ No bans
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=2,789), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 41.8% | 44.1% | 47.2% | 5.5% short |
| Shot accuracy | 17.0% | 11.4% | 12.7% | above |
| Kill/death ratio | 1.83 | 1.03 | 1.09 | above |
| Match win rate | 47.7% | 45.2% | 46.6% | above |
This profile matches the typical Pink band player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Pink 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: +0pp win rate · -0.03 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Strong CT-side openerLimited utility dependenceReliable in 1v1s
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 82% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
T-side openings. Opening success drops from 57% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 584ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 5.0/10 (Developing), 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 |
|---|---|---|---|---|---|
| S | 33 | 23–10 | 70% | 0.01 | |
| S | 19 | 15–4 | 79% | 0.01 | |
| S | 17 | 14–3 | 82% | 0.01 | |
| B | 10 | 5–5 | 50% | 0.00 | |
| B | 6 | 3–3 | 50% | 0.00 | |
| S | 5 | 5–0 | 100% | -0.02 | |
| — | 4 | 3–1 | 75% | -0.00 | |
| — | 3 | 2–1 | 67% | 0.03 | |
| — | 3 | 2–1 | 67% | 0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (50% over 10). Start with the 6 essential Anubis 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 resultsWWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 9 | 33% | 0.89 | 13.3 |
| Dust2 | 4 | 75% | 0.74 | 12.0 |
| Inferno | 3 | 100% | 1.04 | 16.7 |
| Ancient | 3 | 33% | 0.68 | 11.7 |
| Nuke | 3 | 33% | 1.00 | 14.3 |
| Overpass | 1 | 100% | 0.80 | 12.0 |
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 13.1401% — 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 0.3508 — 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 22.7232% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | 0.01 | 15% | 10 Aug → | ||
| 13–6 | 0.01 | 20% | 10 Aug → | ||
| 13–7 | -0.03 | 12% | 10 Aug → | ||
| 13–1 | 0.03 | 21% | 10 Aug → | ||
| 13–6 | 0.04 | 12% | 10 Aug → | ||
| 13–11 | -0.00 | 9% | 9 Aug → | ||
| 9–0 | -0.07 | 14% | 9 Aug → | ||
| 13–4 | 0.05 | 7% | 9 Aug → | ||
| 13–10 | 0.03 | 15% | 9 Aug → | ||
| 13–9 | 0.03 | 22% | 8 Aug → | ||
| 13–4 | -0.06 | 12% | 8 Aug → | ||
| 13–6 | 0.06 | 2% | 8 Aug → | ||
| 13–6 | 0.06 | 9% | 8 Aug → | ||
| 10–13 | 0.08 | 13% | 7 Aug → | ||
| 13–10 | 0.08 | 27% | 7 Aug → | ||
| 13–10 | -0.01 | 13% | 7 Aug → | ||
| 13–7 | 0.04 | 7% | 7 Aug → | ||
| 13–2 | -0.02 | 17% | 7 Aug → | ||
| 13–4 | 0.13 | 5% | 7 Aug → | ||
| 13–8 | 0.05 | 11% | 7 Aug → | ||
| 13–3 | 0.07 | 18% | 7 Aug → | ||
| 13–7 | -0.03 | 9% | 7 Aug → | ||
| 13–6 | 0.19 | 11% | 6 Aug → | ||
| 11–13 | 0.02 | 11% | 6 Aug → | ||
| 16–12 | 0.02 | 15% | 6 Aug → | ||
| 11–13 | 0.01 | 17% | 6 Aug → | ||
| 14–16 | 0.02 | 10% | 5 Aug → | ||
| 13–11 | -0.03 | 15% | 4 Aug → | ||
| 13–2 | 0.04 | 22% | 4 Aug → | ||
| 16–14 | -0.00 | 9% | 4 Aug → | ||
| 9–13 | -0.04 | 7% | 4 Aug → | ||
| 13–3 | 0.09 | 12% | 4 Aug → | ||
| 13–0 | -0.02 | 67% | 28 Jul → | ||
| 13–6 | -0.00 | 9% | 28 Jul → | ||
| 13–0 | 0.04 | 18% | 27 Jul → | ||
| 13–0 | 0.01 | 21% | 27 Jul → | ||
| 13–0 | -0.06 | 18% | 27 Jul → | ||
| 13–0 | -0.03 | 23% | 27 Jul → | ||
| 13–0 | 0.02 | 24% | 27 Jul → | ||
| 13–7 | 0.01 | 11% | 27 Jul → | ||
| 13–4 | -0.02 | 18% | 26 Jul → | ||
| 13–3 | 0.05 | 18% | 26 Jul → | ||
| 13–4 | 0.05 | 15% | 26 Jul → | ||
| 16–13 | 0.01 | 7% | 26 Jul → | ||
| 13–8 | -0.01 | 9% | 26 Jul → | ||
| 15–15 | -0.03 | 13% | 25 Jul → | ||
| 13–10 | -0.01 | 5% | 25 Jul → | ||
| 13–9 | -0.02 | 22% | 24 Jul → | ||
| 15–15 | 0.04 | 14% | 24 Jul → | ||
| 13–11 | 0.00 | 17% | 24 Jul → | ||
| 13–5 | 0.09 | 22% | 23 Jul → | ||
| 15–15 | -0.02 | 10% | 23 Jul → | ||
| 13–5 | -0.03 | 30% | 23 Jul → | ||
| 8–13 | -0.06 | 12% | 23 Jul → | ||
| 13–6 | 0.01 | 11% | 22 Jul → | ||
| 9–13 | -0.09 | 5% | 22 Jul → | ||
| 13–5 | -0.00 | 9% | 21 Jul → | ||
| 13–4 | 0.04 | 15% | 21 Jul → | ||
| 13–9 | -0.02 | 15% | 21 Jul → | ||
| 13–1 | -0.02 | 0% | 19 Jul → | ||
| 1–1 | -0.11 | 0% | 19 Jul → | ||
| 13–11 | -0.03 | 13% | 19 Jul → | ||
| 16–13 | 0.05 | 13% | 19 Jul → | ||
| 4–13 | -0.06 | 11% | 19 Jul → | ||
| 13–8 | 0.05 | 14% | 18 Jul → | ||
| 13–3 | 0.03 | 10% | 18 Jul → | ||
| 13–8 | -0.01 | 26% | 18 Jul → | ||
| 8–13 | 0.04 | 11% | 18 Jul → | ||
| 13–9 | 0.08 | 13% | 18 Jul → | ||
| 13–9 | 0.00 | 17% | 18 Jul → | ||
| 13–1 | 0.02 | 21% | 18 Jul → | ||
| 16–12 | 0.03 | 15% | 18 Jul → | ||
| 10–13 | -0.01 | 15% | 17 Jul → | ||
| 13–8 | 0.02 | 14% | 17 Jul → | ||
| 13–9 | 0.02 | 4% | 16 Jul → | ||
| 11–13 | -0.04 | 12% | 16 Jul → | ||
| 13–6 | -0.01 | 13% | 15 Jul → | ||
| 6–13 | -0.08 | 13% | 15 Jul → | ||
| 4–13 | 0.02 | 9% | 15 Jul → | ||
| 13–7 | 0.05 | 16% | 15 Jul → | ||
| 4–13 | -0.05 | 14% | 15 Jul → | ||
| 4–13 | 0.00 | 22% | 15 Jul → | ||
| 13–4 | 0.03 | 13% | 15 Jul → | ||
| 8–13 | -0.05 | 12% | 15 Jul → | ||
| 11–13 | 0.01 | 16% | 15 Jul → | ||
| 5–13 | -0.04 | 17% | 14 Jul → | ||
| 13–10 | -0.02 | 6% | 14 Jul → | ||
| 6–13 | -0.02 | 16% | 14 Jul → | ||
| 12–12 | -0.06 | 10% | 14 Jul → | ||
| 5–13 | -0.07 | 10% | 14 Jul → | ||
| 7–13 | -0.01 | 18% | 14 Jul → | ||
| 13–6 | 0.01 | 12% | 14 Jul → | ||
| 13–7 | 0.04 | 19% | 13 Jul → | ||
| 13–5 | 0.02 | 19% | 13 Jul → | ||
| 7–13 | 0.03 | 9% | 13 Jul → | ||
| 6–9 | -0.06 | 12% | 13 Jul → | ||
| 9–7 | -0.01 | 12% | 13 Jul → | ||
| 13–9 | 0.05 | 12% | 12 Jul → | ||
| 13–3 | 0.07 | 8% | 12 Jul → | ||
| 13–6 | 0.02 | 12% | 12 Jul → |
Match data via Leetify.