Immortal — CS2 Stats
76561198138310637[U:1:178044909]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median |
|---|---|---|
| Headshot rate | 54.5% | 52.8% |
| Shot accuracy | 14.0% | 13.7% |
| Kill/death ratio | 1.17 | 1.08 |
| Match win rate | 42.1% | 49.2% |
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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: Passive 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 NiKo 91% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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
Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.
Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.
Reaction time. 560ms 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 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 17 | 9–8 | 53% | 0.04 | |
| A | 16 | 10–6 | 63% | 0.01 | |
| C | 15 | 6–9 | 40% | 0.02 | |
| S | 13 | 9–4 | 69% | 0.01 | |
| A | 11 | 7–4 | 64% | 0.02 | |
| S | 7 | 5–2 | 71% | 0.04 | |
| D | 7 | 2–5 | 29% | 0.01 | |
| fachwerk | — | 3 | 2–1 | 67% | 0.05 |
| boulder | — | 3 | 2–1 | 67% | 0.08 |
| — | 1 | 0–1 | 0% | 0.03 | |
| poseidon | — | 1 | 0–1 | 0% | -0.12 |
| debris | — | 1 | 0–1 | 0% | 0.04 |
| eldorado | — | 1 | 1–0 | 100% | 0.01 |
| shelter | — | 1 | 1–0 | 100% | 0.00 |
| warden | — | 1 | 1–0 | 100% | 0.03 |
| alpine | — | 1 | 0–1 | 0% | 0.02 |
| — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient 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 resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 9 | 56% | 0.94 | 14.8 |
| Anubis | 8 | 38% | 0.91 | 14.0 |
| Mirage | 6 | 17% | 0.94 | 14.5 |
| Nuke | 3 | 67% | 1.29 | 21.3 |
| Dust2 | 2 | 100% | 1.88 | 24.5 |
| Inferno | 1 | 100% | 1.15 | 15.0 |
| Train | 1 | 100% | 1.58 | 19.0 |
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 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 29.6195% — 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.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | 0.02 | 12% | 28 Aug → | ||
| 11–13 | -0.02 | 17% | 28 Aug → | ||
| 15–15 | 0.03 | 18% | 26 Aug → | ||
| 13–11 | -0.02 | 23% | 26 Aug → | ||
| 13–11 | 0.04 | 17% | 25 Aug → | ||
| 7–13 | 0.02 | 13% | 25 Aug → | ||
| 13–2 | -0.01 | 32% | 16 Aug → | ||
| 13–4 | -0.01 | 14% | 16 Aug → | ||
| 13–11 | 0.01 | 26% | 16 Aug → | ||
| 4–13 | 0.03 | 14% | 14 Aug → | ||
| 2–13 | -0.02 | 24% | 14 Aug → | ||
| 8–3 | 0.12 | 24% | 14 Aug → | ||
| 9–13 | 0.04 | 14% | 14 Aug → | ||
| 15–15 | 0.03 | 29% | 4 Aug → | ||
| 13–9 | 0.03 | 12% | 1 Aug → | ||
| 13–16 | 0.03 | 9% | 1 Aug → | ||
| 15–15 | -0.01 | 16% | 31 Jul → | ||
| 5–13 | -0.03 | 19% | 29 Jul → | ||
| 13–3 | 0.06 | 13% | 29 Jul → | ||
| 12–12 | 0.05 | 11% | 28 Jul → | ||
| 13–9 | -0.03 | 8% | 28 Jul → | ||
| 13–3 | 0.02 | 15% | 28 Jul → | ||
| poseidon | 3–9 | -0.12 | 11% | 28 Jul → | |
| 8–13 | -0.00 | 19% | 26 Jul → | ||
| 13–5 | 0.07 | 30% | 26 Jul → | ||
| 13–8 | 0.04 | 24% | 26 Jul → | ||
| fachwerk | 13–6 | 0.04 | 28% | 26 Jul → | |
| 13–11 | -0.03 | 21% | 26 Jul → | ||
| 13–4 | 0.06 | 20% | 25 Jul → | ||
| 13–6 | 0.08 | 11% | 25 Jul → | ||
| 3–13 | -0.07 | 14% | 25 Jul → | ||
| 13–8 | 0.05 | 17% | 25 Jul → | ||
| 6–13 | 0.01 | 11% | 23 Jul → | ||
| 13–7 | 0.05 | 12% | 23 Jul → | ||
| boulder | 13–8 | 0.07 | 16% | 20 Jul → | |
| 13–6 | 0.01 | 19% | 20 Jul → | ||
| 13–7 | 0.00 | 20% | 20 Jul → | ||
| 1–3 | -0.00 | 22% | 20 Jul → | ||
| 13–9 | 0.03 | 20% | 19 Jul → | ||
| debris | 6–9 | 0.04 | 18% | 19 Jul → | |
| fachwerk | 9–13 | 0.10 | 15% | 19 Jul → | |
| boulder | 8–13 | 0.08 | 19% | 19 Jul → | |
| eldorado | 9–7 | 0.01 | 20% | 19 Jul → | |
| 13–8 | 0.00 | 14% | 18 Jul → | ||
| 9–13 | 0.02 | 7% | 17 Jul → | ||
| 8–13 | 0.01 | 21% | 17 Jul → | ||
| 13–7 | 0.03 | 26% | 17 Jul → | ||
| 7–13 | 0.09 | 23% | 17 Jul → | ||
| 13–9 | 0.05 | 24% | 15 Jul → | ||
| 4–13 | -0.00 | 26% | 15 Jul → | ||
| 13–11 | -0.02 | 31% | 15 Jul → | ||
| 13–3 | 0.08 | 24% | 15 Jul → | ||
| 13–16 | 0.00 | 17% | 15 Jul → | ||
| fachwerk | 13–11 | 0.01 | 15% | 12 Jul → | |
| shelter | 13–5 | 0.00 | 19% | 12 Jul → | |
| boulder | 4–1 | 0.09 | 21% | 12 Jul → | |
| 7–13 | 0.12 | 26% | 11 Jul → | ||
| 16–13 | -0.00 | 25% | 10 Jul → | ||
| 12–16 | -0.03 | 11% | 10 Jul → | ||
| 9–13 | 0.05 | 23% | 2 Jul → | ||
| 13–16 | -0.03 | 20% | 20 Jun → | ||
| 14–16 | 0.02 | 13% | 12 Jun → | ||
| 13–10 | -0.02 | 7% | 7 Jun → | ||
| 13–11 | -0.04 | 18% | 7 Jun → | ||
| 13–4 | 0.07 | 23% | 7 Jun → | ||
| warden | 13–10 | 0.03 | 19% | 7 Jun → | |
| 9–13 | -0.02 | 12% | 6 Jun → | ||
| 13–7 | 0.03 | 17% | 1 Jun → | ||
| 13–7 | 0.05 | 19% | 1 Jun → | ||
| 16–12 | 0.01 | 11% | 30 May → | ||
| alpine | 7–13 | 0.02 | 19% | 28 May → | |
| 9–1 | -0.02 | 11% | 25 May → | ||
| 13–5 | -0.06 | 17% | 20 May → | ||
| 8–13 | 0.10 | 18% | 20 May → | ||
| 13–5 | 0.06 | 34% | 20 May → | ||
| 13–7 | 0.01 | 31% | 19 May → | ||
| 13–7 | 0.00 | 16% | 16 May → | ||
| 9–3 | 0.12 | 16% | 16 May → | ||
| 3–7 | -0.04 | 13% | 10 May → | ||
| 13–7 | 0.05 | 14% | 10 May → | ||
| 13–8 | -0.02 | 15% | 10 May → | ||
| 13–10 | 0.03 | 32% | 8 May → | ||
| 13–11 | 0.01 | 17% | 8 May → | ||
| 8–13 | 0.04 | 11% | 8 May → | ||
| 12–12 | -0.03 | 22% | 5 May → | ||
| 13–9 | 0.10 | 19% | 5 May → | ||
| 11–13 | -0.02 | 18% | 1 May → | ||
| 7–13 | -0.03 | 14% | 29 Apr → | ||
| 7–13 | -0.01 | 13% | 11 Apr → | ||
| 9–13 | 0.03 | 14% | 11 Apr → | ||
| 1–13 | -0.06 | 17% | 11 Apr → | ||
| 11–13 | 0.01 | 18% | 11 Apr → | ||
| 13–8 | 0.13 | 19% | 11 Apr → | ||
| 8–13 | -0.01 | 15% | 10 Apr → | ||
| 13–10 | 0.02 | 12% | 5 Apr → | ||
| 13–6 | 0.10 | 17% | 5 Apr → | ||
| 7–13 | 0.09 | 18% | 5 Apr → | ||
| 16–13 | 0.05 | 10% | 29 Mar → | ||
| 13–9 | 0.06 | 20% | 29 Mar → | ||
| 15–15 | -0.05 | 13% | 27 Mar → |
Match data via Leetify.