✪ X1aobA1 — CS2 Stats
76561198155960189[U:1:195694461]
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=1,660), 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 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 36.1% | 44.0% | 44.7% | 8.6% short |
| Shot accuracy | 17.1% | 11.6% | 11.9% | above |
| Kill/death ratio | 1.01 | 1.03 | 1.04 | 0.03 short |
| Match win rate | 40.0% | 45.1% | 45.2% | 5.2% short |
This profile matches the typical Level 6 player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 6 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 · -0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent counter-strafingStrong CT-side opener
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 iM 93% playstyle similarity
Most alike: positioning profile, utility contribution.
Where you differ: higher 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
Strengths
CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 67% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 599ms 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 7.2/10 (Strong), 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 |
|---|---|---|---|---|---|
| A | 20 | 11–9 | 55% | 0.01 | |
| B | 18 | 9–9 | 50% | 0.05 | |
| A | 18 | 11–7 | 61% | 0.03 | |
| D | 15 | 5–10 | 33% | 0.03 | |
| C | 14 | 6–8 | 43% | 0.03 | |
| B | 10 | 5–5 | 50% | 0.04 | |
| — | 3 | 1–2 | 33% | -0.02 | |
| — | 1 | 0–1 | 0% | 0.01 | |
| — | 1 | 1–0 | 100% | -0.00 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (33% over 15). 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 resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 2 | 100% | 1.17 | 12.5 |
| Ancient | 1 | 100% | 1.19 | 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 32.979% — 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.
33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | 0.08 | 16% | 13 Aug → | ||
| 10–13 | -0.02 | 16% | 12 Aug → | ||
| 13–6 | 0.01 | 11% | 12 Aug → | ||
| 13–7 | -0.00 | 8% | 10 Aug → | ||
| 8–13 | -0.03 | 20% | 10 Aug → | ||
| 6–13 | -0.07 | 9% | 9 Aug → | ||
| 13–5 | 0.01 | 5% | 9 Aug → | ||
| 13–11 | 0.05 | 15% | 9 Aug → | ||
| 10–13 | -0.03 | 10% | 9 Aug → | ||
| 13–10 | 0.00 | 13% | 8 Aug → | ||
| 13–8 | 0.04 | 13% | 30 Jul → | ||
| 11–13 | 0.01 | 9% | 30 Jul → | ||
| 10–13 | 0.03 | 19% | 29 Jul → | ||
| 13–11 | 0.05 | 19% | 29 Jul → | ||
| 13–7 | 0.10 | 26% | 29 Jul → | ||
| 13–6 | 0.12 | 18% | 29 Jul → | ||
| 7–13 | -0.05 | 13% | 28 Jul → | ||
| 5–13 | -0.06 | 13% | 28 Jul → | ||
| 13–3 | 0.00 | 20% | 28 Jul → | ||
| 13–9 | 0.01 | 13% | 27 Jul → | ||
| 13–9 | 0.06 | 14% | 27 Jul → | ||
| 8–13 | 0.00 | 18% | 26 Jul → | ||
| 13–6 | 0.20 | 15% | 26 Jul → | ||
| 13–9 | -0.01 | 9% | 21 Jul → | ||
| 1–13 | 0.00 | 32% | 21 Jul → | ||
| 13–5 | 0.07 | 11% | 21 Jul → | ||
| 7–13 | 0.04 | 17% | 20 Jul → | ||
| 13–9 | 0.03 | 13% | 20 Jul → | ||
| 13–4 | 0.01 | 21% | 16 Jul → | ||
| 11–13 | 0.05 | 20% | 16 Jul → | ||
| 13–8 | 0.01 | 17% | 16 Jul → | ||
| 7–13 | 0.09 | 15% | 16 Jul → | ||
| 14–16 | 0.01 | 16% | 29 Jun → | ||
| 10–13 | -0.01 | 14% | 29 Jun → | ||
| 4–13 | -0.06 | 10% | 28 Jun → | ||
| 13–4 | 0.09 | 9% | 20 Jun → | ||
| 9–13 | 0.02 | 16% | 19 Jun → | ||
| 11–13 | -0.04 | 9% | 19 Jun → | ||
| 11–13 | -0.08 | 4% | 18 Jun → | ||
| 13–2 | 0.14 | 10% | 18 Jun → | ||
| 13–2 | 0.08 | 22% | 13 Jun → | ||
| 10–13 | 0.00 | 17% | 13 Jun → | ||
| 5–13 | -0.01 | 23% | 13 Jun → | ||
| 9–13 | 0.01 | 11% | 7 Jun → | ||
| 13–11 | -0.03 | 9% | 7 Jun → | ||
| 7–13 | 0.03 | 14% | 5 Jun → | ||
| 11–13 | 0.05 | 3% | 5 Jun → | ||
| 13–7 | 0.04 | 13% | 4 Jun → | ||
| 8–13 | -0.06 | 5% | 4 Jun → | ||
| 9–13 | 0.07 | 9% | 1 Jun → | ||
| 13–3 | 0.03 | 10% | 1 Jun → | ||
| 7–13 | -0.03 | 15% | 1 Jun → | ||
| 2–13 | -0.06 | 14% | 1 Jun → | ||
| 7–13 | 0.04 | 16% | 31 May → | ||
| 13–10 | 0.06 | 7% | 31 May → | ||
| 10–13 | 0.03 | 8% | 31 May → | ||
| 13–3 | 0.03 | 13% | 31 May → | ||
| 13–7 | 0.10 | 13% | 31 May → | ||
| 13–8 | 0.05 | 7% | 31 May → | ||
| 10–13 | 0.06 | 22% | 24 May → | ||
| 5–13 | -0.04 | 13% | 24 May → | ||
| 8–13 | 0.00 | 12% | 24 May → | ||
| 15–15 | 0.05 | 8% | 24 May → | ||
| 13–11 | -0.03 | 13% | 24 May → | ||
| 1–13 | -0.02 | 11% | 23 May → | ||
| 13–11 | 0.03 | 6% | 23 May → | ||
| 5–13 | 0.02 | 17% | 23 May → | ||
| 13–4 | 0.08 | 16% | 23 May → | ||
| 13–16 | 0.02 | 7% | 23 May → | ||
| 10–13 | 0.14 | 19% | 23 May → | ||
| 13–9 | 0.05 | 18% | 18 May → | ||
| 7–13 | -0.01 | 11% | 18 May → | ||
| 10–13 | 0.04 | 14% | 18 May → | ||
| 11–13 | -0.05 | 7% | 17 May → | ||
| 13–5 | -0.02 | 3% | 17 May → | ||
| 13–8 | -0.00 | 9% | 17 May → | ||
| 7–13 | -0.00 | 7% | 17 May → | ||
| 13–9 | 0.07 | 11% | 17 May → | ||
| 16–13 | 0.07 | 18% | 16 May → | ||
| 13–8 | 0.13 | 7% | 16 May → | ||
| 5–13 | 0.00 | 5% | 16 May → | ||
| 10–9 | 0.01 | 12% | 16 May → | ||
| 13–6 | 0.02 | 15% | 16 May → | ||
| 13–11 | -0.02 | 19% | 15 May → | ||
| 13–11 | -0.00 | 14% | 15 May → | ||
| 13–4 | 0.09 | 13% | 15 May → | ||
| 13–11 | 0.09 | 20% | 14 May → | ||
| 10–13 | 0.03 | 18% | 14 May → | ||
| 10–13 | 0.02 | 5% | 14 May → | ||
| 13–4 | 0.08 | 17% | 14 May → | ||
| 1–7 | 0.09 | 6% | 14 May → | ||
| 13–7 | 0.11 | 7% | 12 May → | ||
| 13–3 | 0.17 | 23% | 12 May → | ||
| 13–11 | -0.00 | 16% | 12 May → | ||
| 13–16 | 0.03 | 14% | 11 May → | ||
| 13–10 | 0.02 | 15% | 11 May → | ||
| 13–7 | 0.14 | 19% | 10 May → | ||
| 8–13 | 0.02 | 16% | 10 May → | ||
| 11–13 | 0.03 | 11% | 10 May → | ||
| 13–7 | 0.07 | 24% | 10 May → |
Match data via Leetify.
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