CtrlMjollnir — CS2 Stats
76561198043449732[U:1:83184004]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=404), 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 | Light Blue band median | Blue band median | vs Blue band |
|---|---|---|---|---|
| Headshot rate | 31.0% | 40.1% | 41.7% | 10.6% short |
| Shot accuracy | 18.8% | 7.6% | 8.8% | above |
| Kill/death ratio | 0.86 | 0.92 | 0.97 | 0.11 short |
| Match win rate | 39.8% | 42.2% | 43.8% | 4.0% short |
This profile matches the typical Blue band player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Blue 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: +10pp win rate · -0.01 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 NiKo 78% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower positioning profile; 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. 623ms 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 (×0.90 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 |
|---|---|---|---|---|---|
| C | 25 | 11–14 | 44% | -0.04 | |
| A | 22 | 13–9 | 59% | -0.05 | |
| C | 19 | 8–11 | 42% | -0.05 | |
| C | 15 | 6–9 | 40% | -0.04 | |
| S | 10 | 9–1 | 90% | -0.04 | |
| D | 5 | 0–5 | 0% | -0.07 | |
| — | 3 | 3–0 | 100% | -0.02 | |
| — | 1 | 0–1 | 0% | -0.06 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Dust 2 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 resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 5 | 20% | 0.73 | 11.6 |
| Train | 2 | 0% | 0.97 | 16.0 |
| Nuke | 2 | 50% | 0.76 | 14.5 |
| Inferno | 2 | 100% | 1.25 | 13.5 |
| Anubis | 1 | 100% | 0.90 | 18.0 |
| Mirage | 1 | 100% | 0.92 | 12.0 |
| Overpass | 1 | 0% | 0.73 | 11.0 |
| Ancient | 1 | 0% | 0.33 | 8.0 |
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 14.5934% — 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 0.4811 — 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 28.8276% — 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.
0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | -0.08 | 9% | 27 Aug → | ||
| 9–13 | -0.09 | 6% | 27 Aug → | ||
| 9–13 | -0.08 | 18% | 27 Aug → | ||
| 13–7 | -0.05 | 23% | 26 Aug → | ||
| 8–13 | -0.01 | 18% | 26 Aug → | ||
| 13–8 | -0.10 | 14% | 25 Aug → | ||
| 16–13 | -0.07 | 23% | 25 Aug → | ||
| 13–3 | -0.02 | 13% | 25 Aug → | ||
| 16–12 | -0.04 | 13% | 24 Aug → | ||
| 13–9 | 0.02 | 6% | 24 Aug → | ||
| 13–8 | -0.04 | 8% | 24 Aug → | ||
| 13–3 | 0.01 | 10% | 23 Aug → | ||
| 16–13 | -0.01 | 9% | 23 Aug → | ||
| 13–3 | -0.02 | 15% | 23 Aug → | ||
| 4–13 | -0.05 | 10% | 20 Aug → | ||
| 4–13 | -0.06 | 17% | 20 Aug → | ||
| 8–13 | -0.04 | 10% | 19 Aug → | ||
| 9–13 | -0.04 | 12% | 19 Aug → | ||
| 13–7 | -0.06 | 18% | 19 Aug → | ||
| 7–13 | -0.04 | 12% | 15 Aug → | ||
| 13–9 | -0.01 | 11% | 15 Aug → | ||
| 13–16 | -0.04 | 23% | 15 Aug → | ||
| 13–2 | 0.01 | 18% | 15 Aug → | ||
| 15–15 | -0.09 | 20% | 14 Aug → | ||
| 13–8 | 0.03 | 18% | 14 Aug → | ||
| 6–13 | -0.09 | 14% | 13 Aug → | ||
| 16–14 | -0.03 | 14% | 13 Aug → | ||
| 10–13 | -0.08 | 21% | 13 Aug → | ||
| 10–13 | -0.01 | 15% | 12 Aug → | ||
| 13–9 | -0.04 | 14% | 12 Aug → | ||
| 13–9 | -0.10 | 15% | 12 Aug → | ||
| 5–13 | -0.08 | 13% | 11 Aug → | ||
| 13–11 | -0.00 | 17% | 11 Aug → | ||
| 13–7 | 0.01 | 16% | 11 Aug → | ||
| 15–15 | -0.08 | 17% | 10 Aug → | ||
| 1–13 | -0.03 | 23% | 10 Aug → | ||
| 12–10 | -0.04 | 25% | 7 Aug → | ||
| 5–13 | 0.01 | 16% | 7 Aug → | ||
| 13–9 | 0.00 | 12% | 7 Aug → | ||
| 13–3 | -0.07 | 17% | 5 Aug → | ||
| 13–4 | -0.03 | 16% | 5 Aug → | ||
| 10–13 | -0.06 | 18% | 5 Aug → | ||
| 13–7 | -0.03 | 8% | 4 Aug → | ||
| 4–13 | -0.05 | 21% | 4 Aug → | ||
| 10–13 | -0.11 | 0% | 3 Aug → | ||
| 12–16 | -0.07 | 10% | 3 Aug → | ||
| 2–13 | -0.06 | 15% | 3 Aug → | ||
| 13–11 | -0.00 | 8% | 2 Aug → | ||
| 10–13 | -0.06 | 19% | 2 Aug → | ||
| 15–15 | -0.08 | 8% | 2 Aug → | ||
| 13–4 | 0.03 | 4% | 29 Jul → | ||
| 8–13 | -0.09 | 27% | 29 Jul → | ||
| 11–13 | -0.09 | 10% | 29 Jul → | ||
| 13–10 | -0.07 | 11% | 28 Jul → | ||
| 13–10 | -0.02 | 18% | 28 Jul → | ||
| 13–7 | -0.02 | 13% | 28 Jul → | ||
| 14–16 | -0.07 | 4% | 26 Jul → | ||
| 7–13 | -0.08 | 31% | 26 Jul → | ||
| 2–13 | -0.09 | 14% | 24 Jul → | ||
| 8–13 | -0.11 | 9% | 24 Jul → | ||
| 7–1 | -0.02 | 13% | 24 Jul → | ||
| 8–13 | -0.06 | 9% | 24 Jul → | ||
| 11–13 | -0.00 | 19% | 22 Jul → | ||
| 5–13 | -0.08 | 4% | 22 Jul → | ||
| 13–11 | -0.07 | 8% | 21 Jul → | ||
| 13–11 | -0.06 | 12% | 21 Jul → | ||
| 12–16 | -0.08 | 13% | 20 Jul → | ||
| 9–13 | -0.10 | 19% | 20 Jul → | ||
| 6–13 | -0.06 | 4% | 20 Jul → | ||
| 11–13 | -0.04 | 13% | 10 Jul → | ||
| 13–8 | -0.07 | 6% | 9 Jul → | ||
| 10–13 | -0.04 | 20% | 9 Jul → | ||
| 13–11 | -0.04 | 20% | 9 Jul → | ||
| 13–3 | -0.03 | 19% | 6 Jul → | ||
| 13–6 | -0.03 | 4% | 6 Jul → | ||
| 8–13 | -0.02 | 16% | 5 Jul → | ||
| 10–13 | -0.06 | 10% | 5 Jul → | ||
| 13–6 | -0.06 | 5% | 5 Jul → | ||
| 8–13 | -0.05 | 18% | 4 Jul → | ||
| 13–4 | -0.08 | 3% | 4 Jul → | ||
| 5–13 | -0.15 | 15% | 4 Jul → | ||
| 16–14 | -0.00 | 21% | 4 Jul → | ||
| 13–11 | 0.01 | 17% | 3 Jul → | ||
| 13–8 | -0.04 | 2% | 3 Jul → | ||
| 13–6 | -0.03 | 8% | 3 Jul → | ||
| 6–13 | -0.03 | 12% | 1 Jul → | ||
| 13–8 | -0.00 | 10% | 1 Jul → | ||
| 10–13 | 0.02 | 22% | 30 Jun → | ||
| 13–5 | -0.11 | 7% | 30 Jun → | ||
| 13–7 | -0.05 | 23% | 30 Jun → | ||
| 13–8 | -0.03 | 15% | 29 Jun → | ||
| 13–16 | -0.09 | 15% | 29 Jun → | ||
| 6–13 | -0.04 | 18% | 27 Jun → | ||
| 11–13 | -0.01 | 20% | 27 Jun → | ||
| 11–13 | -0.06 | 18% | 27 Jun → | ||
| 13–11 | -0.06 | 13% | 27 Jun → | ||
| 13–11 | -0.03 | 15% | 26 Jun → | ||
| 13–8 | -0.02 | 14% | 26 Jun → | ||
| 4–13 | -0.11 | 11% | 26 Jun → | ||
| 13–9 | -0.03 | 20% | 25 Jun → |
Match data via Leetify.