Jarrod — CS2 Stats
ZA76561199403517772[U:1:1443252044]Steam profile ↗✓ 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 |
|---|---|---|
| Headshot rate | 44.2% | 48.1% |
| Shot accuracy | 1.2% | 12.9% |
| Kill/death ratio | 1.16 | 1.08 |
| Match win rate | 50.5% | 46.5% |
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong 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 b1t 93% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: 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
Strengths
Aim. Aim score of 87 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 52% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.
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 |
|---|---|---|---|---|---|
| A | 34 | 19–15 | 56% | 0.01 | |
| S | 16 | 11–5 | 69% | 0.02 | |
| S | 16 | 13–3 | 81% | 0.01 | |
| B | 10 | 5–5 | 50% | -0.01 | |
| C | 9 | 4–5 | 44% | -0.01 | |
| D | 9 | 3–6 | 33% | -0.00 | |
| D | 6 | 2–4 | 33% | -0.01 |
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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 4 | 75% | 0.70 | 11.0 |
| Dust2 | 3 | 0% | 0.95 | 17.7 |
| Anubis | 2 | 50% | 0.66 | 10.5 |
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.
- 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 34.5407% — 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 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | -0.02 | 15% | 27 Aug → | ||
| 13–4 | 0.01 | 12% | 26 Aug → | ||
| 4–13 | -0.03 | 14% | 25 Aug → | ||
| 13–8 | -0.00 | 40% | 25 Aug → | ||
| 9–13 | 0.06 | 20% | 25 Aug → | ||
| 2–13 | -0.08 | 23% | 24 Aug → | ||
| 13–10 | -0.02 | 17% | 24 Aug → | ||
| 4–13 | -0.00 | 18% | 24 Aug → | ||
| 6–13 | 0.02 | 15% | 24 Aug → | ||
| 10–13 | 0.03 | 8% | 24 Aug → | ||
| 16–14 | 0.00 | 9% | 23 Aug → | ||
| 15–15 | -0.02 | 21% | 23 Aug → | ||
| 13–6 | 0.02 | 24% | 23 Aug → | ||
| 13–10 | -0.02 | 19% | 23 Aug → | ||
| 4–13 | -0.06 | 18% | 23 Aug → | ||
| 8–13 | -0.01 | 25% | 23 Aug → | ||
| 10–13 | -0.03 | 20% | 23 Aug → | ||
| 13–9 | 0.03 | 29% | 23 Aug → | ||
| 13–6 | -0.05 | 20% | 22 Aug → | ||
| 2–5 | -0.08 | 15% | 22 Aug → | ||
| 6–13 | -0.01 | 20% | 22 Aug → | ||
| 13–5 | 0.08 | 30% | 22 Aug → | ||
| 13–6 | 0.03 | 38% | 22 Aug → | ||
| 13–9 | -0.05 | 19% | 22 Aug → | ||
| 14–16 | -0.02 | 25% | 22 Aug → | ||
| 13–1 | 0.08 | 20% | 21 Aug → | ||
| 13–11 | -0.01 | 38% | 21 Aug → | ||
| 13–11 | 0.03 | 19% | 21 Aug → | ||
| 13–8 | 0.02 | 12% | 21 Aug → | ||
| 13–6 | 0.02 | 16% | 20 Aug → | ||
| 13–11 | 0.02 | 19% | 20 Aug → | ||
| 13–8 | -0.01 | 16% | 20 Aug → | ||
| 13–4 | -0.04 | 13% | 20 Aug → | ||
| 16–14 | -0.01 | 16% | 20 Aug → | ||
| 4–13 | 0.03 | 26% | 20 Aug → | ||
| 13–10 | 0.02 | 22% | 20 Aug → | ||
| 13–0 | 0.04 | 29% | 20 Aug → | ||
| 13–10 | 0.05 | 24% | 19 Aug → | ||
| 13–7 | -0.02 | 21% | 19 Aug → | ||
| 13–11 | 0.10 | 29% | 19 Aug → | ||
| 7–13 | -0.02 | 17% | 19 Aug → | ||
| 13–1 | 0.08 | 13% | 19 Aug → | ||
| 13–11 | 0.04 | 23% | 19 Aug → | ||
| 9–13 | -0.04 | 21% | 19 Aug → | ||
| 13–11 | 0.04 | 13% | 18 Aug → | ||
| 13–5 | 0.06 | 21% | 18 Aug → | ||
| 6–13 | 0.00 | 21% | 18 Aug → | ||
| 13–11 | -0.03 | 28% | 18 Aug → | ||
| 13–6 | 0.08 | 26% | 18 Aug → | ||
| 12–16 | -0.04 | 21% | 18 Aug → | ||
| 13–4 | 0.02 | 18% | 18 Aug → | ||
| 10–13 | -0.03 | 15% | 17 Aug → | ||
| 8–13 | 0.04 | 17% | 17 Aug → | ||
| 5–13 | -0.01 | 29% | 17 Aug → | ||
| 13–8 | 0.01 | 17% | 17 Aug → | ||
| 13–4 | 0.00 | 10% | 17 Aug → | ||
| 13–7 | 0.06 | 14% | 17 Aug → | ||
| 13–5 | 0.14 | 13% | 17 Aug → | ||
| 13–9 | 0.04 | 18% | 16 Aug → | ||
| 1–13 | -0.08 | 17% | 16 Aug → | ||
| 13–6 | -0.00 | 32% | 16 Aug → | ||
| 13–3 | -0.03 | 13% | 16 Aug → | ||
| 13–6 | -0.04 | 34% | 16 Aug → | ||
| 13–4 | 0.03 | 15% | 16 Aug → | ||
| 14–16 | -0.07 | 12% | 15 Aug → | ||
| 13–5 | 0.07 | 29% | 15 Aug → | ||
| 16–14 | 0.03 | 19% | 15 Aug → | ||
| 8–13 | -0.01 | 24% | 15 Aug → | ||
| 7–13 | -0.01 | 17% | 15 Aug → | ||
| 15–15 | 0.02 | 25% | 15 Aug → | ||
| 13–10 | -0.01 | 21% | 14 Aug → | ||
| 4–13 | 0.00 | 29% | 14 Aug → | ||
| 7–13 | 0.03 | 18% | 14 Aug → | ||
| 11–13 | -0.04 | 13% | 14 Aug → | ||
| 15–15 | 0.01 | 19% | 12 Aug → | ||
| 14–16 | -0.02 | 15% | 12 Aug → | ||
| 15–15 | -0.06 | 9% | 8 Aug → | ||
| 1–13 | -0.11 | 7% | 8 Aug → | ||
| 13–3 | -0.04 | 24% | 7 Aug → | ||
| 5–13 | 0.02 | 18% | 7 Aug → | ||
| 13–6 | 0.03 | 23% | 7 Aug → | ||
| 4–13 | 0.03 | 13% | 6 Aug → | ||
| 3–13 | -0.03 | 9% | 6 Aug → | ||
| 13–11 | 0.08 | 33% | 6 Aug → | ||
| 11–13 | 0.03 | 11% | 5 Aug → | ||
| 4–13 | -0.03 | 21% | 4 Aug → | ||
| 3–13 | 0.07 | 23% | 4 Aug → | ||
| 13–11 | 0.05 | 16% | 1 Aug → | ||
| 7–13 | 0.03 | 20% | 1 Aug → | ||
| 10–13 | 0.01 | 19% | 31 Jul → | ||
| 13–9 | 0.05 | 20% | 31 Jul → | ||
| 13–3 | 0.04 | 18% | 31 Jul → | ||
| 13–6 | 0.01 | 19% | 31 Jul → | ||
| 13–10 | -0.01 | 20% | 31 Jul → | ||
| 13–3 | 0.06 | 16% | 30 Jul → | ||
| 13–9 | 0.08 | 11% | 30 Jul → | ||
| 13–10 | 0.04 | 10% | 29 Jul → | ||
| 14–16 | -0.04 | 18% | 29 Jul → | ||
| 9–13 | -0.12 | 7% | 29 Jul → | ||
| 13–9 | 0.00 | 22% | 28 Jul → |
Match data via Leetify.