FactoryDefect — CS2 Stats
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.00 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 53% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower utility contribution; 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. 694ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 2.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 21–13 | 62% | -0.04 | |
| C | 29 | 11–18 | 38% | -0.05 | |
| B | 14 | 7–7 | 50% | -0.05 | |
| D | 6 | 1–5 | 17% | -0.03 | |
| D | 5 | 1–4 | 20% | -0.06 | |
| — | 4 | 2–2 | 50% | -0.02 | |
| — | 3 | 3–0 | 100% | -0.02 | |
| poseidon | — | 2 | 0–2 | 0% | -0.05 |
| stronghold | — | 1 | 0–1 | 0% | -0.05 |
| office | — | 1 | 0–1 | 0% | -0.06 |
| — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
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 12.9693% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0 — below the 0.5 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 20.4392% — 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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.04 | 21% | 22 Mar → | ||
| 15–15 | -0.08 | 11% | 21 Mar → | ||
| 13–8 | -0.07 | 7% | 21 Mar → | ||
| 9–13 | -0.07 | 11% | 5 Mar → | ||
| 13–1 | -0.03 | 9% | 5 Mar → | ||
| 10–13 | -0.06 | 14% | 5 Mar → | ||
| 13–8 | 0.02 | 24% | 4 Mar → | ||
| 6–13 | -0.07 | 15% | 24 Feb → | ||
| 3–13 | -0.10 | 8% | 24 Feb → | ||
| 13–4 | -0.03 | 17% | 23 Feb → | ||
| 16–12 | -0.03 | 14% | 13 Feb → | ||
| 13–5 | -0.04 | 15% | 13 Feb → | ||
| 5–13 | -0.03 | 9% | 12 Feb → | ||
| 5–13 | -0.05 | 13% | 12 Feb → | ||
| 9–13 | -0.08 | 15% | 11 Feb → | ||
| 13–3 | -0.03 | 14% | 10 Feb → | ||
| 13–5 | -0.03 | 20% | 10 Feb → | ||
| 4–8 | -0.01 | 18% | 10 Feb → | ||
| 2–13 | -0.07 | 8% | 4 Feb → | ||
| 2–11 | -0.14 | 13% | 1 Feb → | ||
| 13–6 | 0.02 | 14% | 30 Jan → | ||
| 4–9 | -0.09 | 8% | 30 Jan → | ||
| poseidon | 7–9 | -0.06 | 7% | 30 Jan → | |
| 9–13 | -0.04 | 17% | 30 Jan → | ||
| 10–13 | -0.06 | 15% | 30 Jan → | ||
| 13–7 | -0.07 | 3% | 30 Jan → | ||
| 13–11 | -0.04 | 13% | 29 Jan → | ||
| 13–10 | -0.08 | 11% | 29 Jan → | ||
| 8–13 | -0.10 | 9% | 29 Jan → | ||
| 13–5 | -0.02 | 8% | 29 Jan → | ||
| 13–7 | -0.07 | 14% | 29 Jan → | ||
| 9–13 | -0.09 | 10% | 29 Jan → | ||
| 14–16 | -0.06 | 7% | 29 Jan → | ||
| 7–13 | -0.05 | 18% | 28 Jan → | ||
| 13–7 | -0.01 | 15% | 28 Jan → | ||
| 5–13 | -0.08 | 11% | 27 Jan → | ||
| 5–13 | -0.06 | 21% | 27 Jan → | ||
| 13–1 | 0.04 | 11% | 27 Jan → | ||
| 8–13 | -0.03 | 12% | 22 Jan → | ||
| 6–13 | -0.05 | 4% | 22 Jan → | ||
| 16–13 | -0.08 | 5% | 22 Jan → | ||
| 8–13 | -0.06 | 11% | 22 Jan → | ||
| poseidon | 7–9 | -0.05 | 15% | 22 Jan → | |
| 16–14 | -0.08 | 6% | 22 Jan → | ||
| stronghold | 12–12 | -0.05 | 5% | 21 Jan → | |
| 13–2 | 0.01 | 19% | 18 Jan → | ||
| 13–9 | -0.06 | 11% | 17 Jan → | ||
| 10–13 | -0.08 | 7% | 17 Jan → | ||
| 13–16 | -0.01 | 11% | 17 Jan → | ||
| 12–16 | -0.06 | 9% | 16 Jan → | ||
| 9–13 | -0.02 | 36% | 16 Jan → | ||
| 6–13 | -0.07 | 11% | 16 Jan → | ||
| 10–13 | -0.04 | 5% | 16 Jan → | ||
| 13–5 | -0.05 | 9% | 16 Jan → | ||
| 12–8 | -0.04 | 18% | 16 Jan → | ||
| 13–3 | -0.02 | 4% | 16 Jan → | ||
| 13–16 | -0.06 | 9% | 15 Jan → | ||
| 13–5 | -0.02 | 15% | 15 Jan → | ||
| 11–13 | -0.09 | 14% | 15 Jan → | ||
| 13–7 | 0.02 | 19% | 14 Jan → | ||
| 13–5 | 0.04 | 17% | 11 Jan → | ||
| 9–13 | -0.10 | 16% | 11 Jan → | ||
| 13–5 | -0.01 | 16% | 11 Jan → | ||
| 13–6 | 0.01 | 15% | 11 Jan → | ||
| 8–13 | -0.04 | 2% | 11 Jan → | ||
| 13–11 | -0.06 | 15% | 8 Jan → | ||
| 8–13 | 0.11 | 8% | 8 Jan → | ||
| 7–13 | -0.16 | 6% | 8 Jan → | ||
| 9–13 | -0.10 | 17% | 8 Jan → | ||
| 7–2 | -0.05 | 0% | 4 Jan → | ||
| 10–13 | 0.00 | 23% | 4 Jan → | ||
| 7–13 | -0.06 | 14% | 4 Jan → | ||
| 13–7 | -0.05 | 8% | 4 Jan → | ||
| 13–3 | -0.03 | 15% | 4 Jan → | ||
| 5–13 | -0.10 | 6% | 4 Jan → | ||
| 12–6 | -0.00 | 14% | 4 Jan → | ||
| 13–4 | -0.01 | 3% | 4 Jan → | ||
| 13–4 | -0.02 | 8% | 4 Jan → | ||
| 4–13 | -0.04 | 23% | 3 Jan → | ||
| 13–5 | 0.06 | 17% | 3 Jan → | ||
| 13–8 | 0.01 | 13% | 3 Jan → | ||
| 8–8 | -0.12 | 8% | 3 Jan → | ||
| 13–7 | -0.03 | 14% | 2 Jan → | ||
| 6–13 | -0.05 | 10% | 2 Jan → | ||
| 5–2 | -0.02 | 0% | 2 Jan → | ||
| 9–13 | -0.06 | 7% | 2 Jan → | ||
| 13–10 | -0.06 | 15% | 1 Jan → | ||
| 10–13 | -0.07 | 4% | 1 Jan → | ||
| 3–13 | 0.01 | 9% | 1 Jan → | ||
| 13–6 | -0.01 | 9% | 31 Dec → | ||
| 13–5 | 0.07 | 13% | 30 Dec → | ||
| office | 1–13 | -0.06 | 12% | 30 Dec → | |
| 9–1 | 0.09 | 13% | 30 Dec → | ||
| 7–9 | -0.12 | 19% | 30 Dec → | ||
| 3–9 | -0.05 | 11% | 30 Dec → | ||
| 7–13 | -0.07 | 16% | 30 Dec → | ||
| 4–13 | -0.11 | 17% | 30 Dec → | ||
| 13–3 | -0.04 | 0% | 30 Dec → | ||
| 13–3 | -0.00 | 5% | 29 Dec → | ||
| 13–10 | -0.07 | 16% | 29 Dec → |
Match data via Leetify.
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