Dinger Ingus Jr — CS2 Stats
76561199214821675[U:1:1254555947]
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 48.1% | 42.5% | 44.2% | above |
| Shot accuracy | 6.5% | 10.9% | 11.2% | 4.7% short |
| Kill/death ratio | 1.22 | 0.99 | 1.04 | above |
| Match win rate | 40.0% | 44.2% | 45.3% | 5.3% short |
This profile matches the typical Level 5 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.07 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 87% playstyle similarity
Most alike: opening-fight frequency, 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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 559ms 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 6.0/10 (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 |
|---|---|---|---|---|---|
 inferno | B | 27 | 14–13 | 52% | 0.01 |
 mirage | B | 13 | 6–7 | 46% | 0.02 |
 anubis | B | 13 | 6–7 | 46% | 0.03 |
 ancient | A | 10 | 6–4 | 60% | 0.02 |
 train | S | 10 | 7–3 | 70% | 0.05 |
 dust2 | C | 8 | 3–5 | 38% | 0.02 |
 nuke | — | 4 | 3–1 | 75% | 0.02 |
 overpass | — | 4 | 4–0 | 100% | 0.07 |
 cache | — | 3 | 1–2 | 33% | -0.00 |
| grail | — | 3 | 0–3 | 0% | 0.01 |
| office | — | 2 | 0–2 | 0% | 0.02 |
| boulder | — | 1 | 1–0 | 100% | 0.06 |
| fachwerk | — | 1 | 1–0 | 100% | 0.23 |
 vertigo | — | 1 | 1–0 | 100% | 0.15 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (38% over 8). 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 resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 2 | 50% | 1.12 | 22.0 |
| Mirage | 1 | 0% | 0.60 | 9.0 |
| Dust2 | 1 | 0% | 1.24 | 21.0 |
| Train | 1 | 100% | 1.60 | 24.0 |
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 14.6296% — 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 36.8512% — 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.
38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 13–5 | 0.06 | 17% | 18 Aug → | |
| boulder | 13–6 | 0.06 | 16% | 4 Aug → | |
| fachwerk | 13–4 | 0.23 | 9% | 4 Aug → | |
| ancient | 9–13 | 0.01 | 7% | 4 Aug → | |
| mirage | 7–13 | -0.02 | 17% | 4 Aug → | |
| cache | 3–13 | 0.01 | 24% | 1 Aug → | |
| ancient | 13–9 | 0.05 | 14% | 1 Aug → | |
| inferno | 5–13 | -0.02 | 25% | 1 Aug → | |
| anubis | 1–13 | -0.04 | 11% | 24 Jul → | |
| mirage | 13–6 | 0.11 | 17% | 24 Jul → | |
| dust2 | 13–8 | 0.00 | 9% | 24 Jul → | |
| cache | 12–12 | 0.00 | 18% | 23 Jul → | |
| nuke | 13–11 | -0.01 | 15% | 22 Jul → | |
| train | 13–7 | 0.02 | 9% | 22 Jul → | |
| mirage | 10–2 | 0.04 | 7% | 19 Jul → | |
| inferno | 3–2 | -0.08 | 14% | 17 Jul → | |
| mirage | 5–13 | -0.03 | 4% | 14 Jul → | |
| cache | 13–7 | -0.03 | 15% | 3 Jul → | |
| mirage | 7–13 | -0.05 | 7% | 9 Apr → | |
| mirage | 8–13 | -0.08 | 8% | 29 Mar → | |
| train | 7–1 | 0.19 | 22% | 26 Mar → | |
| ancient | 12–12 | 0.09 | 25% | 25 Mar → | |
| dust2 | 13–9 | 0.08 | 27% | 21 Mar → | |
| office | 12–12 | 0.01 | 10% | 20 Mar → | |
| office | 10–13 | 0.03 | 12% | 18 Mar → | |
| inferno | 13–7 | -0.02 | 13% | 18 Mar → | |
| overpass | 13–10 | 0.03 | 18% | 17 Mar → | |
| mirage | 13–6 | 0.07 | 10% | 12 Mar → | |
| nuke | 3–13 | -0.06 | 9% | 12 Mar → | |
| overpass | 13–9 | 0.12 | 23% | 11 Mar → | |
| anubis | 5–13 | -0.04 | 21% | 7 Mar → | |
| inferno | 5–8 | 0.06 | 5% | 7 Mar → | |
| dust2 | 11–13 | 0.05 | 17% | 2 Feb → | |
| overpass | 13–5 | 0.11 | 15% | 2 Feb → | |
| mirage | 13–10 | 0.05 | 22% | 30 Jan → | |
| inferno | 3–13 | -0.03 | 15% | 30 Jan → | |
| ancient | 13–2 | 0.02 | 23% | 28 Jan → | |
| dust2 | 13–6 | 0.07 | 23% | 28 Jan → | |
| anubis | 5–13 | 0.01 | 8% | 28 Jan → | |
| overpass | 13–10 | 0.03 | 12% | 28 Jan → | |
| inferno | 13–8 | 0.03 | 18% | 28 Jan → | |
| nuke | 13–5 | 0.01 | 10% | 28 Jan → | |
| ancient | 13–10 | -0.03 | 3% | 28 Jan → | |
| dust2 | 1–7 | -0.05 | 0% | 27 Jan → | |
| anubis | 13–11 | 0.09 | 16% | 25 Jan → | |
| train | 13–9 | 0.04 | 11% | 20 Aug → | |
| ancient | 3–8 | 0.07 | 29% | 19 Aug → | |
| inferno | 4–13 | -0.02 | 14% | 19 Aug → | |
| ancient | 10–13 | -0.07 | 18% | 19 Aug → | |
| train | 13–7 | 0.09 | 14% | 10 Aug → | |
| inferno | 0–7 | -0.06 | 0% | 3 Aug → | |
| inferno | 9–2 | 0.14 | 17% | 28 Jul → | |
| dust2 | 10–13 | -0.05 | 4% | 27 Jul → | |
| inferno | 12–12 | 0.06 | 12% | 17 Jul → | |
| inferno | 13–6 | 0.03 | 5% | 17 Jul → | |
| train | 13–4 | 0.05 | 8% | 17 Jul → | |
| train | 1–13 | -0.05 | 11% | 16 Jul → | |
| train | 3–13 | 0.04 | 11% | 16 Jul → | |
| inferno | 6–9 | -0.09 | 4% | 16 Jul → | |
| inferno | 13–5 | 0.02 | 15% | 16 Jul → | |
| train | 13–10 | 0.04 | 12% | 15 Jul → | |
| anubis | 8–13 | 0.05 | 13% | 15 Jul → | |
| inferno | 7–13 | -0.04 | 16% | 14 Jul → | |
| inferno | 12–12 | -0.06 | 11% | 14 Jul → | |
| inferno | 11–13 | 0.01 | 9% | 14 Jul → | |
| inferno | 3–10 | -0.01 | 3% | 13 Jul → | |
| vertigo | 13–6 | 0.15 | 10% | 11 Jul → | |
| inferno | 13–11 | 0.11 | 15% | 11 Jul → | |
| ancient | 13–6 | 0.09 | 10% | 11 Jul → | |
| inferno | 13–11 | -0.02 | 10% | 10 Jul → | |
| inferno | 13–10 | 0.02 | 6% | 9 Jul → | |
| inferno | 13–5 | 0.02 | 6% | 7 Jul → | |
| inferno | 13–10 | -0.03 | 9% | 7 Jul → | |
| inferno | 13–3 | 0.07 | 3% | 7 Jul → | |
| inferno | 13–4 | 0.07 | 20% | 6 Jul → | |
| inferno | 13–6 | 0.00 | 13% | 6 Jul → | |
| train | 13–9 | 0.11 | 12% | 6 Jul → | |
| anubis | 13–10 | 0.05 | 9% | 5 Jul → | |
| mirage | 6–13 | 0.08 | 7% | 4 Jul → | |
| nuke | 13–8 | 0.14 | 16% | 3 Jul → | |
| anubis | 5–8 | 0.04 | 6% | 3 Jul → | |
| grail | 11–13 | -0.02 | 10% | 3 Jul → | |
| dust2 | 12–12 | 0.01 | 13% | 3 Jul → | |
| mirage | 6–13 | 0.05 | 11% | 3 Jul → | |
| grail | 10–13 | -0.03 | 11% | 2 Jul → | |
| grail | 5–13 | 0.10 | 10% | 2 Jul → | |
| ancient | 13–11 | -0.06 | 10% | 1 Jul → | |
| train | 1–13 | -0.02 | 6% | 1 Jul → | |
| mirage | 4–13 | -0.05 | 8% | 1 Jul → | |
| anubis | 13–10 | 0.00 | 11% | 1 Jul → | |
| anubis | 13–1 | 0.13 | 8% | 30 Jun → | |
| mirage | 13–11 | -0.00 | 9% | 30 Jun → | |
| dust2 | 1–13 | 0.05 | 28% | 30 Jun → | |
| anubis | 13–5 | 0.06 | 7% | 29 Jun → | |
| inferno | 11–13 | 0.02 | 13% | 28 Jun → | |
| inferno | 7–13 | 0.08 | 14% | 25 Jun → | |
| anubis | 12–12 | 0.01 | 21% | 25 Jun → | |
| anubis | 7–13 | -0.05 | 10% | 25 Jun → | |
| anubis | 13–6 | 0.02 | 10% | 25 Jun → | |
| ancient | 13–7 | 0.06 | 10% | 25 Jun → |
Match data via Leetify.