Tempest — CS2 Stats
76561198105550738[U:1:145285010]
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 · +0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 device 96% playstyle similarity
Most alike: utility contribution, opening-duel success.
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
Strengths
Aim. Aim score of 86 — the mechanical foundation is a clear strength.
Areas to improve
Reaction time. 588ms 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 7.4/10 (Strong), 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 |
|---|---|---|---|---|---|
| B | 24 | 12–12 | 50% | 0.02 | |
| A | 18 | 10–8 | 56% | -0.01 | |
| S | 15 | 10–5 | 67% | 0.03 | |
| C | 12 | 5–7 | 42% | -0.01 | |
| D | 12 | 4–8 | 33% | -0.00 | |
| B | 11 | 5–6 | 45% | 0.01 | |
| S | 8 | 6–2 | 75% | 0.04 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 18 | 39% | 1.12 | 17.1 |
| Vertigo | 14 | 36% | 0.85 | 14.4 |
| Mirage | 14 | 57% | 1.17 | 17.1 |
| Dust2 | 13 | 54% | 1.32 | 18.0 |
| Inferno | 12 | 58% | 1.18 | 17.8 |
| Ancient | 10 | 50% | 0.90 | 16.1 |
| Nuke | 8 | 88% | 1.32 | 16.9 |
| Overpass | 6 | 33% | 1.02 | 17.3 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.04 | 14% | 27 Aug → | ||
| 13–7 | 0.05 | 22% | 27 Aug → | ||
| 14–16 | -0.04 | 16% | 27 Aug → | ||
| 13–7 | -0.05 | 18% | 26 Aug → | ||
| 13–3 | 0.09 | 21% | 26 Aug → | ||
| 3–13 | -0.06 | 14% | 26 Aug → | ||
| 15–15 | 0.06 | 9% | 26 Aug → | ||
| 6–13 | -0.02 | 11% | 25 Aug → | ||
| 13–6 | 0.03 | 11% | 25 Aug → | ||
| 11–13 | 0.04 | 21% | 25 Aug → | ||
| 16–14 | -0.01 | 24% | 24 Aug → | ||
| 16–12 | 0.03 | 17% | 24 Aug → | ||
| 13–7 | 0.02 | 18% | 24 Aug → | ||
| 11–13 | -0.05 | 38% | 23 Aug → | ||
| 13–3 | 0.01 | 18% | 23 Aug → | ||
| 10–13 | 0.02 | 42% | 23 Aug → | ||
| 9–13 | -0.06 | 19% | 23 Aug → | ||
| 13–16 | -0.01 | 16% | 23 Aug → | ||
| 9–13 | -0.01 | 4% | 23 Aug → | ||
| 6–13 | -0.02 | 20% | 22 Aug → | ||
| 5–13 | 0.02 | 29% | 22 Aug → | ||
| 13–6 | 0.08 | 21% | 22 Aug → | ||
| 13–4 | -0.01 | 21% | 22 Aug → | ||
| 13–5 | 0.02 | 16% | 22 Aug → | ||
| 13–6 | -0.06 | 12% | 22 Aug → | ||
| 13–1 | 0.06 | 35% | 22 Aug → | ||
| 8–13 | -0.00 | 13% | 22 Aug → | ||
| 16–13 | 0.03 | 24% | 22 Aug → | ||
| 13–9 | 0.01 | 29% | 21 Aug → | ||
| 13–6 | 0.01 | 7% | 21 Aug → | ||
| 3–13 | -0.10 | 12% | 21 Aug → | ||
| 6–13 | 0.06 | 17% | 21 Aug → | ||
| 13–6 | 0.01 | 12% | 21 Aug → | ||
| 15–15 | -0.00 | 28% | 21 Aug → | ||
| 13–8 | 0.01 | 13% | 21 Aug → | ||
| 13–8 | 0.07 | 28% | 20 Aug → | ||
| 13–10 | 0.11 | 25% | 20 Aug → | ||
| 16–14 | 0.02 | 11% | 19 Aug → | ||
| 13–8 | -0.02 | 29% | 19 Aug → | ||
| 13–3 | 0.06 | 18% | 18 Aug → | ||
| 16–13 | 0.04 | 31% | 18 Aug → | ||
| 13–9 | 0.01 | 27% | 18 Aug → | ||
| 2–13 | -0.06 | 9% | 18 Aug → | ||
| 13–4 | -0.02 | 15% | 17 Aug → | ||
| 7–13 | -0.01 | 26% | 17 Aug → | ||
| 13–5 | 0.11 | 27% | 17 Aug → | ||
| 13–6 | 0.02 | 21% | 17 Aug → | ||
| 13–8 | -0.01 | 17% | 16 Aug → | ||
| 9–13 | -0.06 | 22% | 16 Aug → | ||
| 11–13 | -0.02 | 19% | 16 Aug → | ||
| 15–15 | 0.04 | 28% | 15 Aug → | ||
| 9–13 | -0.04 | 17% | 15 Aug → | ||
| 8–13 | -0.05 | 23% | 15 Aug → | ||
| 13–1 | 0.10 | 24% | 15 Aug → | ||
| 13–3 | 0.01 | 22% | 15 Aug → | ||
| 9–13 | -0.06 | 19% | 14 Aug → | ||
| 13–10 | -0.03 | 27% | 14 Aug → | ||
| 13–6 | 0.07 | 17% | 14 Aug → | ||
| 13–10 | -0.01 | 21% | 14 Aug → | ||
| 8–13 | -0.03 | 17% | 13 Aug → | ||
| 13–1 | 0.07 | 18% | 13 Aug → | ||
| 6–13 | -0.06 | 28% | 13 Aug → | ||
| 15–15 | 0.01 | 14% | 13 Aug → | ||
| 13–16 | -0.00 | 19% | 13 Aug → | ||
| 15–15 | 0.02 | 12% | 13 Aug → | ||
| 16–12 | 0.06 | 16% | 13 Aug → | ||
| 9–13 | -0.03 | 9% | 12 Aug → | ||
| 8–13 | -0.02 | 23% | 12 Aug → | ||
| 13–8 | -0.04 | 13% | 12 Aug → | ||
| 10–13 | -0.01 | 22% | 12 Aug → | ||
| 13–5 | 0.10 | 33% | 12 Aug → | ||
| 13–6 | 0.04 | 17% | 12 Aug → | ||
| 13–1 | 0.05 | 21% | 12 Aug → | ||
| 9–13 | -0.05 | 12% | 11 Aug → | ||
| 15–15 | 0.02 | 18% | 11 Aug → | ||
| 13–10 | 0.01 | 22% | 11 Aug → | ||
| 11–13 | -0.08 | 23% | 11 Aug → | ||
| 13–7 | 0.05 | 13% | 10 Aug → | ||
| 7–13 | 0.03 | 14% | 10 Aug → | ||
| 13–11 | 0.06 | 22% | 8 Aug → | ||
| 16–19 | -0.05 | 17% | 8 Aug → | ||
| 5–13 | 0.06 | 28% | 8 Aug → | ||
| 13–2 | 0.07 | 31% | 8 Aug → | ||
| 13–5 | -0.02 | 22% | 8 Aug → | ||
| 13–0 | 0.04 | 32% | 8 Aug → | ||
| 8–13 | 0.02 | 17% | 7 Aug → | ||
| 6–13 | -0.00 | 21% | 7 Aug → | ||
| 16–14 | -0.02 | 18% | 7 Aug → | ||
| 10–13 | 0.00 | 18% | 5 Aug → | ||
| 13–4 | 0.03 | 15% | 5 Aug → | ||
| 3–13 | -0.06 | 14% | 5 Aug → | ||
| 11–13 | -0.02 | 21% | 5 Aug → | ||
| 6–13 | -0.02 | 11% | 5 Aug → | ||
| 11–13 | 0.08 | 25% | 5 Aug → | ||
| 13–16 | -0.03 | 27% | 4 Aug → | ||
| 8–13 | -0.00 | 16% | 4 Aug → | ||
| 13–10 | -0.03 | 21% | 4 Aug → | ||
| 16–13 | 0.03 | 15% | 4 Aug → | ||
| 15–15 | 0.04 | 21% | 3 Aug → | ||
| 13–4 | 0.09 | 18% | 3 Aug → |
Match data via Leetify.