Tylercoleo — CS2 Stats
76561198120958634[U:1:160692906]
How this compares with the same rank
Median values for Level 2 among CSDB-tracked players (n=338), 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 2 median | Level 3 median | vs Level 3 |
|---|---|---|---|---|
| Headshot rate | 39.1% | 42.1% | 42.1% | 3.0% short |
| Shot accuracy | 19.4% | 12.9% | 12.1% | above |
| Kill/death ratio | 1.13 | 1.00 | 0.99 | above |
| Match win rate | 52.5% | 42.9% | 43.9% | above |
This profile matches the typical Level 3 player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 3 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: -30pp win rate · +0.02 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Limited utility dependence
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 71% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower aim profile; lower utility contribution.
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. 614ms 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 4.3/10 (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 |
|---|---|---|---|---|---|
| D | 31 | 10–21 | 32% | -0.01 | |
| S | 18 | 13–5 | 72% | 0.00 | |
| C | 18 | 8–10 | 44% | 0.00 | |
| C | 7 | 3–4 | 43% | -0.04 | |
| C | 7 | 3–4 | 43% | -0.03 | |
| C | 5 | 2–3 | 40% | -0.01 | |
| C | 5 | 2–3 | 40% | 0.01 | |
| — | 4 | 2–2 | 50% | 0.04 | |
| — | 4 | 1–3 | 25% | 0.00 | |
| — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (32% over 31). Start with the 6 essential Mirage 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.
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 →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 1.376 — below the 4 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 20.8396% — 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.
32% win rate across 31 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | -0.06 | 8% | 16 Aug → | ||
| 15–15 | -0.01 | 19% | 24 Jul → | ||
| 9–13 | 0.03 | 11% | 24 Jul → | ||
| 8–13 | 0.02 | 19% | 7 Jul → | ||
| 12–12 | 0.02 | 15% | 7 Jul → | ||
| 7–13 | 0.01 | 19% | 4 Jul → | ||
| 15–15 | 0.03 | 13% | 4 Jul → | ||
| 5–13 | -0.00 | 14% | 29 Jun → | ||
| 5–13 | -0.02 | 25% | 26 Jun → | ||
| 13–5 | -0.05 | 10% | 26 Jun → | ||
| 13–7 | -0.05 | 17% | 22 Jun → | ||
| 11–13 | -0.03 | 22% | 22 Jun → | ||
| 4–13 | -0.02 | 13% | 8 Jun → | ||
| 2–13 | -0.09 | 11% | 8 Jun → | ||
| 13–5 | 0.02 | 31% | 7 Jun → | ||
| 13–10 | 0.01 | 20% | 7 Jun → | ||
| 3–13 | -0.06 | 23% | 14 Dec → | ||
| 6–13 | -0.06 | 14% | 9 Dec → | ||
| 10–13 | 0.05 | 35% | 8 Dec → | ||
| 16–14 | -0.06 | 26% | 8 Dec → | ||
| 13–9 | 0.01 | 19% | 8 Dec → | ||
| 16–12 | -0.01 | 14% | 7 Dec → | ||
| 16–14 | -0.00 | 21% | 3 Dec → | ||
| 13–5 | 0.10 | 19% | 2 Dec → | ||
| 13–3 | -0.02 | 26% | 2 Dec → | ||
| 9–13 | -0.06 | 28% | 2 Dec → | ||
| 13–9 | 0.05 | 10% | 2 Dec → | ||
| 13–7 | 0.00 | 18% | 2 Dec → | ||
| 5–13 | -0.06 | 9% | 2 Dec → | ||
| 3–13 | -0.02 | 10% | 2 Dec → | ||
| 13–6 | 0.08 | 43% | 2 Dec → | ||
| 10–13 | 0.01 | 22% | 1 Dec → | ||
| 16–14 | 0.03 | 14% | 1 Dec → | ||
| 13–4 | 0.04 | 35% | 28 Nov → | ||
| 9–13 | -0.02 | 21% | 28 Nov → | ||
| 16–13 | -0.00 | 33% | 28 Nov → | ||
| 14–16 | -0.07 | 13% | 26 Nov → | ||
| 13–8 | 0.07 | 44% | 23 Nov → | ||
| 16–13 | 0.01 | 33% | 23 Nov → | ||
| 5–13 | -0.04 | 33% | 23 Nov → | ||
| 8–13 | -0.03 | 12% | 27 Jun → | ||
| 5–13 | 0.07 | 26% | 21 Jun → | ||
| 4–13 | -0.07 | 31% | 21 Jun → | ||
| 3–13 | -0.03 | 27% | 21 Jun → | ||
| 7–13 | 0.02 | 24% | 20 Mar → | ||
| 6–13 | -0.02 | 19% | 15 Mar → | ||
| 13–9 | -0.05 | 24% | 15 Mar → | ||
| 11–13 | 0.01 | 29% | 15 Mar → | ||
| 13–7 | 0.06 | 19% | 12 Mar → | ||
| 9–13 | -0.01 | 28% | 12 Mar → | ||
| 13–7 | 0.09 | 12% | 12 Mar → | ||
| 13–6 | 0.03 | 14% | 12 Mar → | ||
| 13–11 | 0.03 | 29% | 11 Mar → | ||
| 8–13 | -0.01 | 21% | 11 Mar → | ||
| 5–13 | -0.02 | 22% | 11 Mar → | ||
| 8–13 | -0.05 | 25% | 11 Mar → | ||
| 13–8 | 0.03 | 27% | 11 Mar → | ||
| 9–13 | -0.00 | 17% | 10 Mar → | ||
| 13–10 | -0.02 | 21% | 7 Mar → | ||
| 13–10 | 0.02 | 12% | 7 Mar → | ||
| 5–13 | -0.05 | 24% | 7 Mar → | ||
| 3–13 | 0.00 | 11% | 7 Mar → | ||
| 13–5 | 0.01 | 41% | 7 Mar → | ||
| 16–12 | 0.03 | 25% | 6 Mar → | ||
| 13–9 | -0.03 | 15% | 6 Mar → | ||
| 13–11 | 0.03 | 40% | 5 Mar → | ||
| 14–16 | -0.04 | 25% | 5 Mar → | ||
| 13–11 | -0.03 | 31% | 4 Mar → | ||
| 2–13 | -0.07 | 7% | 16 Feb → | ||
| 9–13 | 0.02 | 23% | 16 Feb → | ||
| 11–13 | 0.06 | 16% | 18 Jan → | ||
| 2–11 | -0.05 | 26% | 25 Nov → | ||
| 16–12 | -0.09 | 13% | 20 Sept → | ||
| 4–13 | -0.00 | 13% | 20 Sept → | ||
| 11–13 | -0.01 | 23% | 12 Sept → | ||
| 13–6 | -0.01 | 22% | 12 Sept → | ||
| 15–15 | -0.05 | 17% | 27 Aug → | ||
| 2–13 | -0.08 | 9% | 27 Aug → | ||
| 13–5 | 0.06 | 11% | 27 Aug → | ||
| 13–6 | 0.01 | 24% | 27 Aug → | ||
| 13–5 | 0.04 | 11% | 27 Aug → | ||
| 13–10 | 0.03 | 21% | 24 Aug → | ||
| 6–13 | -0.09 | 7% | 24 Aug → | ||
| 9–13 | -0.01 | 21% | 24 Aug → | ||
| 8–13 | 0.03 | 27% | 24 Aug → | ||
| 6–13 | -0.03 | 17% | 24 Aug → | ||
| 11–13 | -0.01 | 25% | 23 Aug → | ||
| 7–13 | -0.00 | 22% | 23 Aug → | ||
| 7–13 | 0.02 | 29% | 21 Aug → | ||
| 13–11 | 0.03 | 15% | 21 Aug → | ||
| 6–13 | 0.03 | 18% | 21 Aug → | ||
| 13–8 | -0.04 | 20% | 20 Aug → | ||
| 13–7 | 0.02 | 33% | 20 Aug → | ||
| 13–9 | 0.01 | 15% | 19 Aug → | ||
| 13–11 | -0.02 | 17% | 19 Aug → | ||
| 6–13 | -0.04 | 26% | 19 Aug → | ||
| 8–13 | -0.02 | 22% | 18 Aug → | ||
| 13–5 | -0.03 | 26% | 18 Aug → | ||
| 13–7 | 0.04 | 22% | 18 Aug → | ||
| 10–13 | -0.01 | 16% | 18 Aug → |
Match data via Leetify.