Olontora — CS2 Stats
76561198053908308[U:1:93642580]✓ No bans
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 | 35.3% | 48.1% | 12.8% short |
| Shot accuracy | 12.4% | 12.9% | 0.4% short |
| Kill/death ratio | 1.01 | 1.08 | 0.07 short |
| Match win rate | 42.0% | 46.5% | 4.5% short |
This profile sits below the typical Pink band player on every metric we can compare.
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 · +0.01 avg rating
Player DNA
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 84% playstyle similarity
Most alike: opening-duel success, utility contribution.
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. 641ms 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 5.0/10 (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 |
|---|---|---|---|---|---|
| S | 24 | 16–8 | 67% | 0.00 | |
| A | 21 | 12–9 | 57% | 0.01 | |
| A | 13 | 8–5 | 62% | -0.00 | |
| C | 12 | 5–7 | 42% | 0.00 | |
| S | 9 | 6–3 | 67% | -0.01 | |
| D | 7 | 1–6 | 14% | -0.02 | |
| B | 6 | 3–3 | 50% | -0.00 | |
| — | 3 | 1–2 | 33% | -0.02 | |
| office | — | 2 | 2–0 | 100% | 0.07 |
| stronghold | — | 1 | 1–0 | 100% | 0.03 |
| warden | — | 1 | 1–0 | 100% | -0.07 |
| alpine | — | 1 | 1–0 | 100% | -0.05 |
Across the last 100 tracked matches.
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.
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.4384% — below the 15% 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 30.2124% — 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.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.00 | 13% | 23 Aug → | ||
| 13–8 | 0.00 | 10% | 22 Aug → | ||
| 5–13 | -0.00 | 14% | 8 Aug → | ||
| office | 13–4 | 0.06 | 8% | 8 Aug → | |
| office | 9–0 | 0.09 | 13% | 8 Aug → | |
| 11–13 | 0.02 | 22% | 11 Jul → | ||
| 9–2 | -0.03 | 5% | 11 Jul → | ||
| 13–16 | -0.04 | 8% | 11 Jul → | ||
| 10–13 | 0.05 | 15% | 11 Jul → | ||
| 11–13 | -0.03 | 13% | 11 Jul → | ||
| 10–13 | 0.01 | 14% | 11 Jul → | ||
| 15–15 | -0.08 | 9% | 11 Jul → | ||
| 13–6 | -0.07 | 21% | 11 Jul → | ||
| 13–5 | 0.07 | 19% | 11 Jul → | ||
| 13–11 | 0.01 | 13% | 10 Jul → | ||
| 13–6 | 0.02 | 19% | 10 Jul → | ||
| 13–6 | 0.06 | 14% | 10 Jul → | ||
| 13–6 | -0.05 | 15% | 10 Jul → | ||
| 13–3 | 0.00 | 5% | 10 Jul → | ||
| 15–15 | 0.04 | 13% | 10 Jul → | ||
| 13–16 | -0.04 | 12% | 10 Jul → | ||
| 9–13 | -0.04 | 6% | 10 Jul → | ||
| 13–9 | 0.01 | 6% | 10 Jul → | ||
| 13–9 | 0.07 | 10% | 9 Jul → | ||
| 13–5 | 0.03 | 8% | 29 Apr → | ||
| 11–13 | 0.07 | 14% | 26 Apr → | ||
| 15–15 | 0.04 | 15% | 26 Apr → | ||
| 13–10 | -0.01 | 11% | 26 Apr → | ||
| 7–13 | 0.04 | 15% | 26 Apr → | ||
| 13–10 | 0.06 | 12% | 25 Apr → | ||
| 2–13 | -0.09 | 10% | 25 Apr → | ||
| 2–13 | 0.00 | 16% | 25 Apr → | ||
| 3–13 | -0.03 | 22% | 25 Apr → | ||
| 13–11 | 0.02 | 11% | 25 Apr → | ||
| 9–13 | -0.06 | 9% | 24 Apr → | ||
| 7–13 | -0.02 | 10% | 24 Apr → | ||
| 13–11 | -0.00 | 6% | 4 Apr → | ||
| 16–13 | -0.03 | 11% | 3 Apr → | ||
| 5–13 | -0.02 | 15% | 26 Mar → | ||
| 11–13 | 0.00 | 11% | 14 Mar → | ||
| 13–11 | -0.01 | 5% | 14 Mar → | ||
| 13–11 | 0.03 | 12% | 13 Mar → | ||
| 1–13 | -0.02 | 21% | 13 Mar → | ||
| 5–13 | 0.02 | 8% | 12 Mar → | ||
| 13–6 | -0.02 | 12% | 11 Mar → | ||
| 11–13 | 0.03 | 13% | 11 Mar → | ||
| 13–11 | -0.00 | 12% | 22 Feb → | ||
| 13–11 | 0.01 | 8% | 22 Feb → | ||
| 3–13 | -0.06 | 8% | 22 Feb → | ||
| 6–13 | -0.02 | 16% | 18 Feb → | ||
| 13–11 | 0.01 | 7% | 18 Feb → | ||
| 13–9 | 0.01 | 13% | 17 Feb → | ||
| 13–6 | 0.01 | 0% | 17 Feb → | ||
| 13–8 | -0.01 | 26% | 4 Feb → | ||
| 13–6 | -0.00 | 10% | 26 Jan → | ||
| 13–5 | 0.04 | 20% | 25 Jan → | ||
| 13–16 | -0.00 | 9% | 25 Jan → | ||
| 13–8 | 0.00 | 10% | 25 Jan → | ||
| 7–13 | -0.05 | 6% | 25 Jan → | ||
| 13–5 | -0.03 | 14% | 25 Jan → | ||
| 13–6 | -0.01 | 7% | 25 Jan → | ||
| 11–13 | -0.06 | 11% | 25 Jan → | ||
| 13–10 | -0.02 | 9% | 25 Jan → | ||
| 9–13 | -0.02 | 14% | 25 Jan → | ||
| 11–13 | -0.02 | 9% | 25 Jan → | ||
| 13–5 | 0.02 | 10% | 25 Jan → | ||
| 13–4 | -0.04 | 8% | 25 Jan → | ||
| 8–13 | -0.03 | 14% | 24 Jan → | ||
| 13–11 | -0.04 | 13% | 24 Jan → | ||
| 8–13 | -0.03 | 5% | 24 Jan → | ||
| 13–4 | 0.04 | 9% | 24 Jan → | ||
| 13–8 | -0.01 | 8% | 23 Jan → | ||
| 5–13 | 0.02 | 10% | 22 Jan → | ||
| 15–15 | 0.02 | 10% | 22 Jan → | ||
| stronghold | 13–0 | 0.03 | 33% | 22 Jan → | |
| warden | 9–7 | -0.07 | 19% | 22 Jan → | |
| alpine | 13–11 | -0.05 | 13% | 21 Jan → | |
| 13–8 | -0.04 | 14% | 21 Jan → | ||
| 13–2 | 0.06 | 0% | 20 Jan → | ||
| 13–4 | 0.05 | 10% | 20 Jan → | ||
| 13–9 | 0.05 | 12% | 20 Jan → | ||
| 13–10 | 0.07 | 14% | 20 Jan → | ||
| 13–8 | -0.03 | 15% | 19 Jan → | ||
| 13–10 | 0.02 | 10% | 19 Jan → | ||
| 11–13 | 0.00 | 13% | 19 Jan → | ||
| 11–13 | 0.02 | 10% | 19 Jan → | ||
| 5–13 | -0.06 | 14% | 19 Jan → | ||
| 7–13 | -0.03 | 11% | 18 Jan → | ||
| 13–9 | 0.03 | 6% | 18 Jan → | ||
| 8–13 | 0.01 | 13% | 12 Jan → | ||
| 13–16 | -0.05 | 7% | 11 Jan → | ||
| 7–13 | -0.04 | 16% | 11 Jan → | ||
| 13–8 | 0.06 | 8% | 11 Jan → | ||
| 13–11 | -0.01 | 7% | 9 Jan → | ||
| 13–7 | 0.05 | 20% | 9 Jan → | ||
| 13–8 | -0.04 | 4% | 9 Jan → | ||
| 9–13 | 0.03 | 16% | 8 Jan → | ||
| 13–5 | 0.06 | 12% | 8 Jan → | ||
| 13–11 | -0.04 | 15% | 7 Jan → | ||
| 10–13 | -0.00 | 12% | 7 Jan → |
Match data via Leetify.