Sh1sta — CS2 Stats
76561199658102966[U:1:1697837238]Steam profile ↗
Rating over time
Faceit ELO
- At peak — 1,364
- Next: Level 8 at 1,531 — 167 to go
- Reached: Level 7 · Level 6 · Level 5 · Level 4
- Level 7 first seen 2026-08-28
- Level 6 first seen 2026-08-28
Premier CS Rating
- At peak — 26,762
- Next: Gold band at 30,000 — 3,238 to go
- Reached: Red band · Pink band · Purple band · Blue band
- Red band first seen 2026-08-28
- Pink band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,966), 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 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 64.1% | 47.0% | 48.5% | above |
| Shot accuracy | 0.0% | 12.7% | 13.3% | 13.3% short |
| Kill/death ratio | 1.95 | 1.07 | 1.07 | above |
| Match win rate | 49.3% | 46.4% | 47.0% | above |
This profile matches the typical Level 9 player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 9 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 · +0.00 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 b1t 91% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: 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. 571ms 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 (×1.05 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 | 23 | 9–14 | 39% | 0.00 | |
| B | 21 | 10–11 | 48% | -0.00 | |
| B | 20 | 10–10 | 50% | 0.02 | |
| B | 13 | 7–6 | 54% | 0.01 | |
| S | 9 | 7–2 | 78% | 0.01 | |
| D | 8 | 1–7 | 13% | -0.01 | |
| D | 6 | 2–4 | 33% | -0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Anubis 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 resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 50 | 52% | 0.96 | 14.8 |
| Ancient | 43 | 51% | 1.04 | 15.2 |
| Inferno | 41 | 56% | 1.20 | 16.7 |
| Dust2 | 35 | 60% | 1.03 | 14.5 |
| Nuke | 28 | 54% | 1.14 | 16.1 |
| Anubis | 16 | 44% | 1.00 | 15.9 |
| Cache | 11 | 82% | 1.19 | 14.1 |
| Overpass | 5 | 40% | 1.45 | 13.6 |
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.
13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | -0.04 | 19% | 29 Aug → | ||
| 10–13 | 0.03 | 15% | 29 Aug → | ||
| 7–13 | -0.05 | 13% | 24 Aug → | ||
| 14–16 | -0.00 | 10% | 24 Aug → | ||
| 13–5 | 0.02 | 18% | 23 Aug → | ||
| 8–13 | 0.01 | 27% | 23 Aug → | ||
| 3–4 | -0.03 | 75% | 23 Aug → | ||
| 16–14 | 0.08 | 19% | 23 Aug → | ||
| 13–8 | -0.02 | 21% | 23 Aug → | ||
| 13–3 | 0.12 | 22% | 22 Aug → | ||
| 11–13 | -0.00 | 16% | 22 Aug → | ||
| 16–14 | -0.07 | 30% | 22 Aug → | ||
| 13–9 | 0.05 | 9% | 22 Aug → | ||
| 14–16 | 0.04 | 18% | 16 Aug → | ||
| 13–7 | 0.16 | 8% | 16 Aug → | ||
| 9–13 | -0.05 | 8% | 16 Aug → | ||
| 7–13 | -0.03 | 8% | 16 Aug → | ||
| 13–10 | -0.07 | 16% | 16 Aug → | ||
| 11–13 | -0.03 | 7% | 16 Aug → | ||
| 12–1 | 0.05 | 16% | 15 Aug → | ||
| 8–13 | -0.02 | 11% | 15 Aug → | ||
| 13–8 | 0.03 | 16% | 15 Aug → | ||
| 13–2 | 0.08 | 13% | 15 Aug → | ||
| 10–13 | 0.02 | 10% | 15 Aug → | ||
| 11–13 | 0.02 | 9% | 15 Aug → | ||
| 10–13 | 0.02 | 16% | 15 Aug → | ||
| 3–13 | 0.06 | 44% | 15 Aug → | ||
| 13–4 | 0.11 | 23% | 15 Aug → | ||
| 13–6 | -0.07 | 19% | 10 Aug → | ||
| 13–5 | 0.08 | 10% | 9 Aug → | ||
| 9–13 | -0.04 | 12% | 9 Aug → | ||
| 1–13 | -0.06 | 17% | 9 Aug → | ||
| 8–13 | -0.00 | 7% | 9 Aug → | ||
| 11–13 | 0.05 | 12% | 9 Aug → | ||
| 12–12 | 0.12 | 17% | 9 Aug → | ||
| 13–10 | -0.07 | 15% | 8 Aug → | ||
| 2–4 | -0.10 | 22% | 8 Aug → | ||
| 13–6 | -0.00 | 14% | 8 Aug → | ||
| 3–13 | -0.00 | 4% | 27 Jul → | ||
| 13–2 | 0.04 | 14% | 27 Jul → | ||
| 7–13 | -0.06 | 10% | 27 Jul → | ||
| 7–13 | 0.06 | 18% | 27 Jul → | ||
| 16–14 | -0.07 | 15% | 26 Jul → | ||
| 13–10 | 0.05 | 17% | 26 Jul → | ||
| 9–13 | -0.02 | 10% | 26 Jul → | ||
| 9–13 | -0.01 | 8% | 26 Jul → | ||
| 1–13 | -0.04 | 5% | 26 Jul → | ||
| 10–13 | -0.01 | 19% | 25 Jul → | ||
| 14–16 | -0.03 | 14% | 25 Jul → | ||
| 13–4 | -0.03 | 13% | 25 Jul → | ||
| 13–8 | -0.03 | 0% | 24 Jul → | ||
| 13–10 | 0.05 | 23% | 24 Jul → | ||
| 10–13 | -0.03 | 7% | 24 Jul → | ||
| 10–13 | 0.04 | 10% | 24 Jul → | ||
| 13–4 | 0.07 | 17% | 24 Jul → | ||
| 10–13 | -0.02 | 13% | 24 Jul → | ||
| 8–13 | -0.04 | 14% | 20 Jul → | ||
| 9–13 | 0.05 | 11% | 20 Jul → | ||
| 6–9 | 0.00 | 14% | 19 Jul → | ||
| 8–8 | 0.07 | 9% | 19 Jul → | ||
| 9–0 | 0.18 | 32% | 19 Jul → | ||
| 9–6 | 0.00 | 13% | 19 Jul → | ||
| 9–5 | 0.02 | 20% | 19 Jul → | ||
| 9–1 | 0.02 | 21% | 19 Jul → | ||
| 9–1 | -0.05 | 21% | 19 Jul → | ||
| 9–5 | -0.03 | 7% | 19 Jul → | ||
| 13–9 | 0.06 | 9% | 19 Jul → | ||
| 13–10 | -0.02 | 9% | 19 Jul → | ||
| 11–13 | 0.02 | 10% | 18 Jul → | ||
| 13–4 | 0.08 | 22% | 18 Jul → | ||
| 12–12 | 0.01 | 12% | 18 Jul → | ||
| 9–13 | -0.03 | 11% | 18 Jul → | ||
| 13–3 | -0.00 | 10% | 18 Jul → | ||
| 13–8 | 0.05 | 11% | 18 Jul → | ||
| 12–1 | -0.03 | 9% | 18 Jul → | ||
| 11–13 | -0.00 | 16% | 18 Jul → | ||
| 3–13 | -0.06 | 13% | 17 Jul → | ||
| 3–13 | 0.02 | 11% | 17 Jul → | ||
| 1–13 | -0.06 | 14% | 17 Jul → | ||
| 13–10 | 0.09 | 13% | 17 Jul → | ||
| 6–13 | -0.00 | 13% | 17 Jul → | ||
| 13–0 | 0.00 | 25% | 14 Jul → | ||
| 1–13 | -0.01 | 50% | 14 Jul → | ||
| 13–1 | -0.01 | 22% | 14 Jul → | ||
| 2–13 | -0.04 | 19% | 14 Jul → | ||
| 13–10 | -0.03 | 9% | 14 Jul → | ||
| 2–0 | -0.03 | 0% | 14 Jul → | ||
| 15–15 | -0.05 | 14% | 14 Jul → | ||
| 9–13 | -0.02 | 11% | 12 Jul → | ||
| 13–2 | 0.03 | 10% | 12 Jul → | ||
| 0–2 | -0.06 | 0% | 12 Jul → | ||
| 5–2 | -0.05 | 11% | 12 Jul → | ||
| 13–11 | -0.02 | 10% | 12 Jul → | ||
| 13–4 | 0.02 | 9% | 12 Jul → | ||
| 13–5 | -0.02 | 17% | 12 Jul → | ||
| 13–4 | 0.04 | 22% | 12 Jul → | ||
| 2–9 | -0.04 | 5% | 19 Jun → | ||
| 19–22 | -0.02 | 13% | 19 Jun → | ||
| 6–13 | -0.02 | 26% | 19 Jun → | ||
| 7–9 | 0.15 | 10% | 19 Jun → |
Match data via Leetify.