Prehistoric Backshots — CS2 Stats
76561198955590410[U:1:995324682]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 1,839
- Next: Level 10 at 2,001 — 162 to go
- Reached: Level 9 · Level 8 · Level 7 · Level 6
- Level 9 first seen 2026-08-28
- Level 8 first seen 2026-08-28
Premier CS Rating
- At peak — 18,560
- Next: Pink band at 20,000 — 1,440 to go
- Reached: Purple band · Blue band · Light Blue band
- Purple band first seen 2026-08-28
- Blue 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 Pink band among CSDB-tracked players (n=201), 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 | Pink band median | vs Pink band |
|---|---|---|---|
| Headshot rate | 40.0% | 48.1% | 8.1% short |
| Shot accuracy | 13.6% | 12.9% | above |
| Kill/death ratio | 1.03 | 1.08 | 0.05 short |
| Match win rate | 48.6% | 46.5% | above |
This profile matches the typical Pink band player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Pink band 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: +20pp win rate · +0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 82% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower positioning profile; 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. 610ms 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 4.6/10 (Developing), 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 |
|---|---|---|---|---|---|
| A | 21 | 12–9 | 57% | -0.01 | |
| D | 16 | 4–12 | 25% | -0.05 | |
| B | 13 | 6–7 | 46% | -0.03 | |
| D | 12 | 4–8 | 33% | -0.02 | |
| A | 11 | 7–4 | 64% | 0.01 | |
| C | 9 | 4–5 | 44% | 0.01 | |
| C | 8 | 3–5 | 38% | -0.05 | |
| office | — | 4 | 1–3 | 25% | -0.03 |
| — | 3 | 2–1 | 67% | -0.01 | |
| — | 2 | 0–2 | 0% | -0.03 | |
| — | 1 | 1–0 | 100% | 0.05 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Inferno 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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 129 | 51% | 0.98 | 15.9 |
| Ancient | 83 | 57% | 1.13 | 16.4 |
| Dust2 | 74 | 47% | 0.94 | 14.9 |
| Inferno | 71 | 52% | 1.05 | 17.3 |
| Nuke | 54 | 56% | 1.20 | 17.2 |
| Vertigo | 53 | 53% | 1.16 | 16.8 |
| Anubis | 51 | 53% | 1.08 | 17.6 |
| Overpass | 38 | 61% | 1.16 | 17.5 |
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.
- 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 0.3958 — below the 0.5 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 38.9508% — 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.
25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–0 | 0.01 | 69% | 28 Aug → | ||
| 9–13 | -0.04 | 29% | 28 Aug → | ||
| 9–13 | -0.05 | 23% | 27 Aug → | ||
| 13–9 | -0.05 | 35% | 20 Aug → | ||
| 13–5 | -0.10 | 63% | 20 Aug → | ||
| 11–13 | -0.04 | 18% | 13 Aug → | ||
| 13–10 | 0.01 | 17% | 9 Aug → | ||
| 7–13 | -0.03 | 21% | 9 Aug → | ||
| 16–14 | 0.02 | 13% | 9 Aug → | ||
| 13–7 | 0.05 | 22% | 9 Aug → | ||
| 13–10 | -0.02 | 25% | 9 Aug → | ||
| 13–8 | -0.10 | 16% | 9 Aug → | ||
| 2–13 | -0.12 | 15% | 4 Aug → | ||
| 6–13 | -0.07 | 22% | 4 Aug → | ||
| 6–13 | 0.01 | 20% | 4 Aug → | ||
| 12–16 | -0.03 | 22% | 29 Jul → | ||
| 16–13 | -0.03 | 14% | 23 Jul → | ||
| 7–13 | 0.01 | 10% | 21 Jul → | ||
| 13–8 | -0.01 | 16% | 21 Jul → | ||
| 15–15 | -0.04 | 30% | 18 Jul → | ||
| 5–13 | -0.06 | 27% | 17 Jul → | ||
| 10–13 | 0.00 | 21% | 17 Jul → | ||
| 8–13 | -0.09 | 23% | 17 Jul → | ||
| 4–13 | -0.02 | 13% | 17 Jul → | ||
| 4–13 | -0.01 | 28% | 14 Jul → | ||
| 13–7 | -0.02 | 18% | 14 Jul → | ||
| 8–13 | -0.03 | 15% | 13 Jul → | ||
| 13–2 | -0.05 | 13% | 13 Jul → | ||
| 9–13 | 0.04 | 21% | 13 Jul → | ||
| 8–13 | -0.08 | 10% | 13 Jul → | ||
| 5–13 | -0.11 | 13% | 13 Jul → | ||
| 13–10 | -0.00 | 19% | 13 Jul → | ||
| 8–13 | -0.01 | 19% | 12 Jul → | ||
| 4–13 | -0.04 | 16% | 12 Jul → | ||
| 10–13 | -0.08 | 10% | 12 Jul → | ||
| 13–5 | -0.09 | 11% | 12 Jul → | ||
| 13–10 | -0.03 | 21% | 11 Jul → | ||
| 13–6 | -0.03 | 20% | 11 Jul → | ||
| 7–13 | 0.00 | 9% | 9 Jul → | ||
| 13–8 | 0.12 | 29% | 9 Jul → | ||
| 13–11 | 0.01 | 14% | 9 Jul → | ||
| 13–1 | 0.19 | 25% | 7 Jul → | ||
| 13–11 | -0.01 | 20% | 6 Jul → | ||
| 13–6 | -0.02 | 36% | 3 Jul → | ||
| 8–13 | -0.01 | 16% | 2 Jul → | ||
| 11–13 | -0.05 | 21% | 2 Jul → | ||
| 0–8 | -0.02 | 75% | 2 Jul → | ||
| 13–4 | -0.01 | 14% | 2 Jul → | ||
| office | 2–4 | -0.03 | 25% | 2 Jul → | |
| 13–0 | 0.05 | 22% | 2 Jul → | ||
| 13–4 | -0.07 | 10% | 2 Jul → | ||
| 13–7 | -0.09 | 28% | 1 Jul → | ||
| 6–13 | -0.05 | 19% | 1 Jul → | ||
| 13–11 | -0.01 | 19% | 1 Jul → | ||
| 13–11 | 0.03 | 22% | 1 Jul → | ||
| 5–13 | 0.01 | 13% | 1 Jul → | ||
| 13–6 | 0.10 | 19% | 1 Jul → | ||
| 11–13 | 0.02 | 14% | 30 Jun → | ||
| 7–13 | -0.00 | 17% | 30 Jun → | ||
| 13–6 | -0.03 | 23% | 30 Jun → | ||
| 13–7 | -0.02 | 15% | 30 Jun → | ||
| 4–13 | -0.08 | 12% | 30 Jun → | ||
| 9–13 | 0.00 | 18% | 29 Jun → | ||
| 13–4 | 0.07 | 20% | 29 Jun → | ||
| 8–13 | -0.03 | 21% | 28 Jun → | ||
| office | 13–10 | -0.02 | 14% | 28 Jun → | |
| 13–11 | -0.01 | 16% | 28 Jun → | ||
| 13–8 | 0.07 | 12% | 28 Jun → | ||
| 4–13 | 0.04 | 23% | 26 Jun → | ||
| 4–13 | 0.02 | 22% | 26 Jun → | ||
| 13–11 | -0.04 | 18% | 26 Jun → | ||
| 3–13 | -0.03 | 22% | 26 Jun → | ||
| 12–12 | -0.08 | 17% | 25 Jun → | ||
| 8–13 | -0.05 | 21% | 25 Jun → | ||
| 15–15 | -0.01 | 11% | 25 Jun → | ||
| 14–16 | -0.02 | 19% | 25 Jun → | ||
| 13–3 | 0.04 | 27% | 25 Jun → | ||
| 5–13 | -0.02 | 38% | 25 Jun → | ||
| 11–13 | -0.04 | 22% | 24 Jun → | ||
| 12–12 | -0.07 | 29% | 24 Jun → | ||
| 8–13 | 0.05 | 19% | 22 Jun → | ||
| 13–10 | -0.01 | 24% | 22 Jun → | ||
| 1–13 | -0.11 | 25% | 21 Jun → | ||
| 7–13 | -0.04 | 19% | 21 Jun → | ||
| 9–13 | -0.01 | 25% | 21 Jun → | ||
| 13–7 | -0.05 | 26% | 20 Jun → | ||
| 8–13 | -0.04 | 8% | 20 Jun → | ||
| 7–13 | -0.07 | 9% | 19 Jun → | ||
| 5–13 | -0.10 | 6% | 16 Jun → | ||
| 13–8 | 0.08 | 25% | 16 Jun → | ||
| 13–8 | 0.02 | 25% | 16 Jun → | ||
| 13–7 | 0.06 | 26% | 14 Jun → | ||
| office | 5–13 | -0.05 | 24% | 14 Jun → | |
| 13–9 | -0.07 | 23% | 13 Jun → | ||
| 10–13 | -0.05 | 26% | 13 Jun → | ||
| 13–10 | -0.08 | 15% | 13 Jun → | ||
| 13–16 | -0.01 | 22% | 13 Jun → | ||
| office | 11–13 | -0.01 | 21% | 12 Jun → | |
| 13–6 | 0.12 | 18% | 12 Jun → | ||
| 4–13 | -0.05 | 27% | 12 Jun → |
Match data via Leetify.
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