Airhorn Jesus — CS2 Stats
CA76561197961032265[U:1:766537]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp 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 NiKo 72% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower opening-fight frequency; 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. 654ms 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 2.9/10 (Learning), 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 |
|---|---|---|---|---|---|
| B | 20 | 10–10 | 50% | -0.03 | |
| C | 18 | 7–11 | 39% | -0.04 | |
| D | 16 | 2–14 | 13% | -0.04 | |
| D | 13 | 4–9 | 31% | -0.05 | |
| D | 8 | 2–6 | 25% | -0.02 | |
| A | 7 | 4–3 | 57% | -0.00 | |
| B | 6 | 3–3 | 50% | -0.03 | |
| D | 5 | 1–4 | 20% | -0.02 | |
| — | 4 | 1–3 | 25% | -0.03 | |
| — | 2 | 0–2 | 0% | -0.05 | |
| alpine | — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Vertigo is currently your weakest sufficiently-sampled map (13% over 16). Start with the 6 essential Vertigo 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 resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 40 | 40% | 0.74 | 11.5 |
| Dust2 | 31 | 55% | 0.72 | 11.5 |
| Vertigo | 15 | 60% | 0.86 | 13.9 |
| Nuke | 13 | 38% | 0.77 | 12.2 |
| Ancient | 11 | 64% | 0.81 | 12.7 |
| Anubis | 9 | 44% | 0.86 | 16.7 |
| Overpass | 5 | 20% | 0.76 | 14.4 |
| Inferno | 5 | 40% | 0.59 | 12.2 |
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.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.685° — above the 12° mark we flag
- 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 13.3458% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
13% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 2–13 | -0.05 | 20% | 27 Aug → | ||
| 13–9 | -0.01 | 10% | 26 Aug → | ||
| 13–3 | -0.01 | 15% | 26 Aug → | ||
| 9–13 | -0.09 | 18% | 20 Aug → | ||
| 12–12 | -0.04 | 24% | 20 Aug → | ||
| 8–13 | -0.06 | 19% | 17 Aug → | ||
| 8–13 | -0.07 | 17% | 12 Aug → | ||
| 11–13 | -0.04 | 10% | 3 Aug → | ||
| 13–10 | -0.10 | 12% | 3 Aug → | ||
| 10–13 | -0.07 | 8% | 2 Aug → | ||
| 3–13 | -0.09 | 7% | 2 Aug → | ||
| 13–3 | -0.04 | 13% | 2 Aug → | ||
| 13–6 | -0.02 | 11% | 2 Aug → | ||
| 2–13 | -0.07 | 14% | 29 Jul → | ||
| 7–13 | 0.03 | 20% | 28 Jul → | ||
| 13–16 | -0.02 | 18% | 28 Jul → | ||
| 16–13 | 0.00 | 1% | 28 Jul → | ||
| 7–13 | -0.08 | 21% | 27 Jul → | ||
| 3–13 | 0.01 | 19% | 27 Jul → | ||
| 13–6 | -0.05 | 12% | 27 Jul → | ||
| 13–8 | -0.05 | 6% | 27 Jul → | ||
| 10–13 | -0.03 | 7% | 27 Jul → | ||
| 11–13 | -0.08 | 7% | 26 Jul → | ||
| 13–8 | -0.02 | 19% | 26 Jul → | ||
| 7–13 | -0.07 | 14% | 24 Jul → | ||
| 1–13 | -0.01 | 9% | 24 Jul → | ||
| 11–13 | -0.01 | 17% | 22 Jul → | ||
| 13–6 | 0.03 | 7% | 21 Jul → | ||
| 8–13 | 0.03 | 11% | 21 Jul → | ||
| 15–15 | -0.08 | 16% | 20 Jul → | ||
| 13–10 | -0.06 | 5% | 20 Jul → | ||
| 13–10 | 0.01 | 18% | 19 Jul → | ||
| 13–3 | -0.05 | 13% | 19 Jul → | ||
| 11–13 | -0.05 | 15% | 19 Jul → | ||
| 13–6 | 0.05 | 13% | 18 Jul → | ||
| 13–8 | -0.03 | 8% | 18 Jul → | ||
| 13–2 | -0.02 | 19% | 18 Jul → | ||
| 10–13 | -0.05 | 9% | 17 Jul → | ||
| 5–13 | -0.07 | 9% | 17 Jul → | ||
| 13–11 | -0.07 | 13% | 13 Jul → | ||
| 13–8 | -0.02 | 20% | 5 Jul → | ||
| 5–13 | -0.00 | 16% | 4 Jul → | ||
| 13–2 | -0.02 | 19% | 4 Jul → | ||
| 9–13 | -0.05 | 13% | 22 Jun → | ||
| 1–6 | -0.04 | 25% | 22 Jun → | ||
| 6–13 | -0.05 | 11% | 18 Jun → | ||
| 13–9 | -0.05 | 8% | 18 Jun → | ||
| 13–6 | -0.02 | 14% | 10 Jun → | ||
| 5–13 | -0.09 | 18% | 10 Jun → | ||
| 12–12 | -0.02 | 10% | 15 May → | ||
| 11–13 | 0.01 | 25% | 7 May → | ||
| 13–9 | -0.00 | 13% | 6 May → | ||
| 9–13 | -0.02 | 8% | 4 May → | ||
| 13–8 | -0.01 | 4% | 4 May → | ||
| 10–13 | -0.06 | 10% | 3 May → | ||
| 11–13 | -0.05 | 13% | 30 Apr → | ||
| 12–12 | -0.01 | 4% | 30 Apr → | ||
| 6–13 | 0.01 | 11% | 28 Apr → | ||
| 13–8 | -0.01 | 15% | 28 Apr → | ||
| 10–13 | -0.07 | 5% | 26 Apr → | ||
| 13–4 | 0.06 | 19% | 25 Apr → | ||
| 0–13 | -0.06 | 9% | 11 Apr → | ||
| 12–12 | -0.02 | 12% | 9 Apr → | ||
| 12–12 | -0.00 | 19% | 5 Apr → | ||
| 9–13 | -0.01 | 16% | 5 Apr → | ||
| 8–13 | -0.06 | 21% | 31 Mar → | ||
| 13–11 | -0.01 | 6% | 30 Mar → | ||
| 13–10 | 0.01 | 22% | 28 Mar → | ||
| 13–4 | 0.02 | 17% | 28 Mar → | ||
| 6–13 | -0.04 | 14% | 27 Mar → | ||
| 1–13 | -0.03 | 21% | 27 Mar → | ||
| 4–13 | -0.07 | 14% | 27 Mar → | ||
| 9–13 | -0.02 | 6% | 21 Mar → | ||
| 2–13 | -0.09 | 17% | 21 Mar → | ||
| 12–12 | -0.06 | 20% | 21 Mar → | ||
| 13–11 | -0.04 | 11% | 19 Mar → | ||
| 10–13 | -0.04 | 8% | 18 Mar → | ||
| 13–11 | -0.02 | 24% | 17 Mar → | ||
| 7–13 | -0.04 | 5% | 2 Mar → | ||
| 13–9 | -0.06 | 11% | 2 Mar → | ||
| 4–13 | -0.09 | 3% | 23 Feb → | ||
| 8–13 | -0.05 | 10% | 23 Feb → | ||
| 9–13 | -0.05 | 10% | 23 Feb → | ||
| 4–13 | -0.04 | 15% | 22 Feb → | ||
| 1–13 | -0.05 | 27% | 22 Feb → | ||
| 5–13 | -0.04 | 13% | 19 Feb → | ||
| 6–13 | -0.01 | 14% | 19 Feb → | ||
| 1–13 | -0.11 | 9% | 16 Feb → | ||
| 13–4 | -0.04 | 17% | 16 Feb → | ||
| 5–13 | -0.06 | 17% | 16 Feb → | ||
| 3–13 | -0.06 | 8% | 15 Feb → | ||
| 10–13 | 0.01 | 27% | 14 Feb → | ||
| 8–13 | -0.03 | 20% | 14 Feb → | ||
| 11–13 | 0.00 | 10% | 12 Feb → | ||
| 7–13 | -0.09 | 14% | 12 Feb → | ||
| 12–12 | -0.06 | 10% | 12 Feb → | ||
| 13–11 | 0.02 | 15% | 12 Feb → | ||
| 13–6 | 0.02 | 9% | 10 Feb → | ||
| 3–13 | -0.08 | 32% | 10 Feb → | ||
| alpine | 8–13 | -0.04 | 4% | 7 Feb → |
Match data via Leetify.
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