killtec- — CS2 Stats
DE76561198027043278[U:1:66777550]Steam profile ↗
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: +20pp win rate · +0.05 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerLimited 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 jL 94% playstyle similarity
Most alike: positioning profile, 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 85 — 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.
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 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 29 | 16–13 | 55% | 0.02 | |
| A | 24 | 14–10 | 58% | 0.02 | |
| S | 13 | 9–4 | 69% | 0.04 | |
| S | 12 | 9–3 | 75% | 0.03 | |
| S | 8 | 6–2 | 75% | 0.04 | |
| B | 8 | 4–4 | 50% | -0.00 | |
| — | 4 | 1–3 | 25% | 0.04 | |
| boulder | — | 1 | 1–0 | 100% | 0.17 |
| — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (50% over 8). Start with the 6 essential Anubis 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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 31 | 61% | 1.26 | 18.4 |
| Dust2 | 24 | 67% | 1.49 | 21.0 |
| Anubis | 18 | 33% | 1.18 | 17.7 |
| Ancient | 15 | 67% | 1.24 | 20.1 |
| Nuke | 9 | 56% | 1.13 | 17.7 |
| Cache | 8 | 75% | 1.49 | 20.1 |
| Inferno | 7 | 29% | 1.21 | 18.9 |
| Overpass | 4 | 25% | 0.93 | 15.5 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.10 | 18% | 28 Aug → | ||
| 7–2 | 0.09 | 29% | 28 Aug → | ||
| 13–10 | 0.05 | 38% | 27 Aug → | ||
| 13–9 | 0.10 | 15% | 27 Aug → | ||
| 10–13 | 0.01 | 26% | 19 Aug → | ||
| 4–13 | -0.07 | 38% | 18 Aug → | ||
| 13–8 | 0.01 | 24% | 18 Aug → | ||
| 5–2 | 0.07 | 18% | 18 Aug → | ||
| 13–10 | 0.01 | 24% | 18 Aug → | ||
| 10–13 | 0.12 | 28% | 17 Aug → | ||
| 9–13 | -0.06 | 14% | 17 Aug → | ||
| 9–13 | -0.05 | 15% | 16 Aug → | ||
| 3–13 | -0.09 | 14% | 16 Aug → | ||
| 11–13 | -0.02 | 19% | 15 Aug → | ||
| 13–9 | 0.04 | 30% | 15 Aug → | ||
| 13–3 | 0.06 | 17% | 15 Aug → | ||
| 4–13 | 0.03 | 29% | 15 Aug → | ||
| 13–9 | 0.11 | 19% | 15 Aug → | ||
| 16–14 | -0.00 | 22% | 14 Aug → | ||
| 13–5 | -0.01 | 28% | 14 Aug → | ||
| 5–13 | -0.03 | 23% | 14 Aug → | ||
| 13–3 | 0.11 | 26% | 13 Aug → | ||
| 13–4 | 0.07 | 18% | 13 Aug → | ||
| 13–8 | 0.03 | 14% | 13 Aug → | ||
| 13–4 | 0.05 | 26% | 13 Aug → | ||
| 13–8 | -0.00 | 24% | 10 Aug → | ||
| 13–3 | -0.01 | 13% | 10 Aug → | ||
| 13–9 | 0.05 | 27% | 10 Aug → | ||
| 11–13 | 0.02 | 9% | 9 Aug → | ||
| 13–9 | -0.03 | 24% | 8 Aug → | ||
| 13–6 | 0.05 | 22% | 8 Aug → | ||
| 13–16 | -0.03 | 13% | 6 Aug → | ||
| 13–6 | 0.10 | 31% | 6 Aug → | ||
| 8–13 | 0.10 | 27% | 28 Jul → | ||
| 10–13 | -0.02 | 31% | 28 Jul → | ||
| 7–13 | -0.04 | 27% | 28 Jul → | ||
| 13–8 | 0.03 | 15% | 27 Jul → | ||
| 13–10 | 0.10 | 36% | 26 Jul → | ||
| 8–13 | 0.04 | 29% | 26 Jul → | ||
| 13–6 | 0.10 | 20% | 24 Jul → | ||
| 13–2 | 0.08 | 20% | 24 Jul → | ||
| 13–6 | 0.07 | 18% | 24 Jul → | ||
| 13–5 | 0.04 | 18% | 24 Jul → | ||
| 13–10 | -0.01 | 11% | 23 Jul → | ||
| 13–8 | 0.03 | 37% | 23 Jul → | ||
| 13–8 | 0.09 | 20% | 23 Jul → | ||
| 13–11 | 0.10 | 29% | 21 Jul → | ||
| 13–7 | -0.04 | 22% | 20 Jul → | ||
| boulder | 13–4 | 0.17 | 23% | 12 Jul → | |
| 9–13 | 0.05 | 40% | 2 Jul → | ||
| 7–13 | 0.03 | 17% | 28 Jun → | ||
| 13–1 | 0.26 | 13% | 26 Jun → | ||
| 13–6 | -0.01 | 26% | 26 Jun → | ||
| 7–0 | 0.02 | 19% | 26 Jun → | ||
| 6–13 | -0.09 | 28% | 11 Jun → | ||
| 13–9 | 0.03 | 19% | 11 Jun → | ||
| 4–13 | -0.05 | 12% | 11 Jun → | ||
| 5–13 | -0.02 | 21% | 11 Jun → | ||
| 16–14 | 0.03 | 21% | 11 Jun → | ||
| 13–16 | 0.02 | 21% | 10 Jun → | ||
| 13–7 | -0.05 | 27% | 10 Jun → | ||
| 13–11 | 0.04 | 32% | 10 Jun → | ||
| 7–13 | -0.01 | 22% | 7 Jun → | ||
| 13–5 | 0.08 | 22% | 7 Jun → | ||
| 8–13 | 0.08 | 14% | 30 May → | ||
| 4–13 | -0.04 | 16% | 30 May → | ||
| 2–13 | -0.09 | 18% | 26 May → | ||
| 0–13 | -0.03 | 0% | 25 May → | ||
| 13–7 | 0.12 | 19% | 25 May → | ||
| 6–13 | -0.01 | 15% | 24 May → | ||
| 10–13 | 0.04 | 36% | 24 May → | ||
| 13–8 | 0.09 | 11% | 23 May → | ||
| 13–11 | 0.01 | 23% | 23 May → | ||
| 10–13 | 0.01 | 15% | 23 May → | ||
| 13–7 | -0.03 | 17% | 23 May → | ||
| 13–11 | 0.01 | 31% | 23 May → | ||
| 2–13 | -0.04 | 35% | 22 May → | ||
| 13–3 | 0.11 | 25% | 22 May → | ||
| 13–6 | 0.02 | 41% | 22 May → | ||
| 13–9 | -0.00 | 19% | 22 May → | ||
| 13–1 | -0.04 | 27% | 22 May → | ||
| 8–13 | 0.04 | 26% | 22 May → | ||
| 12–16 | 0.03 | 23% | 21 May → | ||
| 9–13 | 0.02 | 25% | 19 May → | ||
| 6–13 | 0.04 | 39% | 19 May → | ||
| 13–10 | 0.09 | 36% | 19 May → | ||
| 11–13 | 0.09 | 22% | 19 May → | ||
| 4–13 | -0.07 | 19% | 18 May → | ||
| 13–5 | 0.09 | 35% | 18 May → | ||
| 2–6 | -0.06 | 24% | 18 May → | ||
| 13–9 | 0.02 | 25% | 18 May → | ||
| 13–9 | -0.01 | 32% | 18 May → | ||
| 13–1 | 0.10 | 23% | 17 May → | ||
| 13–11 | 0.02 | 20% | 17 May → | ||
| 6–13 | 0.07 | 22% | 17 May → | ||
| 7–13 | 0.06 | 17% | 17 May → | ||
| 13–8 | 0.03 | 33% | 17 May → | ||
| 13–9 | 0.03 | 16% | 16 May → | ||
| 13–7 | -0.01 | 34% | 16 May → | ||
| 2–13 | -0.07 | 4% | 16 May → |
Match data via Leetify.