Juggspammer — CS2 Stats
76561198076686959[U:1:116421231]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.00 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 56% playstyle similarity
Most alike: opening-duel success, positioning profile.
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
Reaction time. 640ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 61% 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 2.1/10 (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 |
|---|---|---|---|---|---|
 inferno | C | 41 | 16–25 | 39% | -0.06 |
 nuke | C | 31 | 12–19 | 39% | -0.03 |
 vertigo | C | 14 | 6–8 | 43% | -0.01 |
 mirage | B | 8 | 4–4 | 50% | -0.06 |
 dust2 | — | 2 | 1–1 | 50% | -0.07 |
 train | — | 2 | 0–2 | 0% | 0.00 |
 anubis | — | 1 | 0–1 | 0% | -0.12 |
 ancient | — | 1 | 1–0 | 100% | -0.06 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (39% over 41). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 51 | 39% | 0.70 | 11.8 |
| Inferno | 24 | 42% | 0.79 | 13.4 |
| Nuke | 19 | 58% | 0.65 | 9.3 |
| Anubis | 8 | 12% | 0.51 | 7.9 |
| Dust2 | 8 | 50% | 0.95 | 12.6 |
| Ancient | 7 | 71% | 0.75 | 16.4 |
| Overpass | 3 | 0% | 0.85 | 13.3 |
| Cache | 3 | 67% | 0.38 | 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.
- 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 12.0531° — 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 10.1459% — 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 0.4634 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
39% win rate across 41 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 16–14 | -0.03 | 15% | 1 Aug → | |
| mirage | 6–13 | -0.09 | 14% | 28 Jul → | |
| anubis | 10–13 | -0.12 | 6% | 8 Jul → | |
| inferno | 9–3 | 0.04 | 16% | 7 Jun → | |
| dust2 | 4–13 | -0.11 | 22% | 24 May → | |
| nuke | 13–8 | -0.00 | 11% | 3 May → | |
| inferno | 9–6 | -0.02 | 10% | 8 Mar → | |
| nuke | 8–8 | -0.04 | 11% | 4 Jan → | |
| vertigo | 7–9 | 0.01 | 11% | 4 Jan → | |
| nuke | 6–9 | 0.05 | 10% | 3 Jan → | |
| nuke | 8–8 | -0.05 | 8% | 29 Nov → | |
| inferno | 9–3 | 0.00 | 8% | 4 Nov → | |
| inferno | 8–13 | -0.07 | 15% | 31 Oct → | |
| mirage | 9–13 | -0.08 | 11% | 31 Oct → | |
| mirage | 16–14 | -0.00 | 10% | 18 Oct → | |
| nuke | 13–2 | -0.00 | 13% | 5 Oct → | |
| ancient | 13–9 | -0.06 | 10% | 28 Sept → | |
| inferno | 16–12 | -0.04 | 19% | 27 Sept → | |
| mirage | 13–10 | -0.08 | 7% | 19 Sept → | |
| vertigo | 9–5 | 0.08 | 17% | 7 Jul → | |
| inferno | 6–9 | -0.13 | 9% | 8 Jun → | |
| nuke | 8–8 | -0.08 | 4% | 8 Jun → | |
| inferno | 4–9 | -0.10 | 12% | 6 Jun → | |
| inferno | 5–9 | -0.08 | 5% | 6 Jun → | |
| inferno | 5–9 | -0.17 | 18% | 1 Jun → | |
| inferno | 9–7 | 0.05 | 19% | 31 May → | |
| nuke | 8–8 | -0.08 | 11% | 31 May → | |
| inferno | 6–9 | -0.14 | 9% | 31 May → | |
| inferno | 6–9 | 0.02 | 8% | 30 May → | |
| nuke | 1–9 | -0.28 | 32% | 30 May → | |
| inferno | 4–9 | -0.10 | 13% | 30 May → | |
| inferno | 4–9 | -0.04 | 20% | 30 May → | |
| nuke | 8–8 | -0.10 | 10% | 29 May → | |
| inferno | 9–6 | 0.02 | 19% | 29 May → | |
| inferno | 8–8 | 0.04 | 15% | 29 May → | |
| inferno | 7–9 | -0.08 | 2% | 29 May → | |
| vertigo | 9–4 | -0.03 | 17% | 29 May → | |
| nuke | 12–12 | -0.06 | 18% | 25 May → | |
| inferno | 8–8 | -0.16 | 21% | 24 May → | |
| nuke | 8–8 | -0.08 | 16% | 24 May → | |
| nuke | 9–5 | 0.05 | 15% | 23 May → | |
| inferno | 9–6 | -0.02 | 11% | 23 May → | |
| nuke | 8–8 | 0.01 | 9% | 14 Apr → | |
| vertigo | 7–9 | -0.12 | 17% | 8 Apr → | |
| inferno | 9–7 | -0.04 | 5% | 8 Apr → | |
| nuke | 8–8 | -0.13 | 28% | 28 Mar → | |
| vertigo | 4–9 | -0.08 | 5% | 16 Mar → | |
| inferno | 7–9 | -0.01 | 8% | 9 Mar → | |
| nuke | 8–8 | -0.06 | 17% | 9 Mar → | |
| inferno | 6–9 | -0.08 | 8% | 9 Mar → | |
| vertigo | 9–7 | 0.05 | 23% | 9 Mar → | |
| inferno | 7–9 | -0.08 | 2% | 6 Mar → | |
| inferno | 5–9 | -0.11 | 16% | 6 Mar → | |
| nuke | 2–9 | -0.17 | 10% | 6 Mar → | |
| vertigo | 7–9 | 0.04 | 16% | 27 Feb → | |
| inferno | 7–9 | -0.08 | 17% | 27 Feb → | |
| nuke | 9–2 | -0.03 | 8% | 27 Feb → | |
| inferno | 8–8 | -0.13 | 0% | 26 Feb → | |
| nuke | 9–7 | 0.06 | 23% | 26 Feb → | |
| inferno | 9–7 | -0.05 | 14% | 26 Feb → | |
| vertigo | 9–0 | 0.21 | 19% | 26 Feb → | |
| nuke | 9–0 | 0.12 | 11% | 26 Feb → | |
| vertigo | 9–4 | -0.02 | 19% | 26 Feb → | |
| nuke | 9–7 | -0.06 | 18% | 26 Feb → | |
| inferno | 9–3 | 0.05 | 10% | 26 Feb → | |
| vertigo | 3–9 | -0.14 | 2% | 24 Feb → | |
| inferno | 9–5 | -0.01 | 10% | 24 Feb → | |
| inferno | 4–9 | -0.06 | 9% | 24 Feb → | |
| train | 8–13 | -0.01 | 9% | 24 Feb → | |
| inferno | 5–9 | -0.17 | 18% | 1 Feb → | |
| vertigo | 9–6 | -0.00 | 11% | 1 Feb → | |
| nuke | 5–9 | -0.08 | 31% | 1 Feb → | |
| vertigo | 6–9 | -0.00 | 14% | 27 Jan → | |
| mirage | 8–13 | -0.11 | 3% | 17 Jan → | |
| nuke | 13–11 | -0.01 | 2% | 13 Jan → | |
| nuke | 8–13 | -0.09 | 6% | 12 Jan → | |
| nuke | 9–4 | 0.05 | 11% | 6 Jan → | |
| inferno | 9–6 | -0.02 | 15% | 20 Dec → | |
| inferno | 6–9 | -0.02 | 23% | 20 Dec → | |
| inferno | 9–7 | -0.07 | 18% | 20 Dec → | |
| nuke | 5–9 | -0.12 | 7% | 20 Dec → | |
| nuke | 9–2 | 0.14 | 9% | 19 Dec → | |
| inferno | 5–9 | -0.10 | 4% | 19 Dec → | |
| inferno | 12–12 | -0.05 | 10% | 16 Dec → | |
| nuke | 8–13 | -0.01 | 5% | 14 Dec → | |
| mirage | 13–7 | 0.03 | 5% | 14 Dec → | |
| nuke | 7–13 | 0.01 | 9% | 14 Dec → | |
| inferno | 13–7 | -0.05 | 19% | 11 Dec → | |
| mirage | 13–8 | -0.06 | 3% | 11 Dec → | |
| inferno | 1–9 | -0.24 | 20% | 29 Nov → | |
| nuke | 9–4 | 0.13 | 16% | 29 Nov → | |
| vertigo | 4–9 | -0.09 | 6% | 29 Nov → | |
| inferno | 9–7 | -0.04 | 14% | 29 Nov → | |
| inferno | 5–9 | -0.12 | 5% | 26 Nov → | |
| vertigo | 5–9 | -0.01 | 10% | 26 Nov → | |
| mirage | 2–13 | -0.07 | 0% | 25 Nov → | |
| train | 6–13 | 0.02 | 10% | 25 Nov → | |
| nuke | 9–13 | -0.04 | 15% | 25 Nov → | |
| inferno | 9–4 | -0.06 | 10% | 25 Nov → | |
| nuke | 9–7 | -0.04 | 18% | 25 Nov → |
Match data via Leetify.