Tekwil — CS2 Stats
76561198370145366[U:1:409879638]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 1,577
- Next: Level 9 at 1,751 — 174 to go
- Reached: Level 8 · Level 7 · Level 6 · Level 5
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median |
|---|---|---|
| Headshot rate | 52.0% | 52.8% |
| Shot accuracy | 2.0% | 13.7% |
| Kill/death ratio | 1.07 | 1.08 |
| Match win rate | 45.5% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.02 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 b1t 89% playstyle similarity
Most alike: positioning profile, opening-duel success.
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. 649ms 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 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| C | 21 | 9–12 | 43% | 0.01 | |
| S | 17 | 11–6 | 65% | 0.04 | |
| A | 13 | 8–5 | 62% | 0.05 | |
| S | 12 | 8–4 | 67% | 0.01 | |
| D | 9 | 3–6 | 33% | -0.01 | |
| B | 8 | 4–4 | 50% | 0.02 | |
| D | 7 | 2–5 | 29% | 0.01 | |
| C | 5 | 2–3 | 40% | 0.01 | |
| — | 4 | 2–2 | 50% | 0.02 | |
| — | 2 | 2–0 | 100% | 0.01 | |
| boulder | — | 2 | 2–0 | 100% | 0.04 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (29% over 7). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 91 | 56% | 0.99 | 15.7 |
| Mirage | 63 | 41% | 1.05 | 16.2 |
| Inferno | 55 | 47% | 1.15 | 16.6 |
| Ancient | 53 | 53% | 1.20 | 17.6 |
| Anubis | 52 | 54% | 1.21 | 17.5 |
| Nuke | 42 | 74% | 1.35 | 16.4 |
| Overpass | 11 | 36% | 1.16 | 17.8 |
| Cache | 10 | 30% | 1.11 | 13.8 |
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.5574° — above the 12° 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 0.4798 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
29% 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 | 0.03 | 23% | 27 Aug → | ||
| 13–0 | 0.11 | 20% | 27 Aug → | ||
| 13–11 | 0.13 | 17% | 27 Aug → | ||
| 10–13 | 0.01 | 17% | 21 Aug → | ||
| 12–12 | 0.01 | 19% | 20 Aug → | ||
| 0–13 | -0.05 | 19% | 20 Aug → | ||
| 12–12 | 0.01 | 19% | 20 Aug → | ||
| 13–5 | 0.15 | 17% | 13 Aug → | ||
| 12–12 | -0.04 | 32% | 11 Aug → | ||
| 13–6 | 0.04 | 20% | 11 Aug → | ||
| 6–13 | -0.04 | 15% | 8 Aug → | ||
| 11–13 | 0.01 | 20% | 7 Aug → | ||
| 10–13 | 0.01 | 23% | 7 Aug → | ||
| 10–13 | -0.00 | 23% | 6 Aug → | ||
| 13–5 | -0.01 | 23% | 5 Aug → | ||
| 13–10 | 0.02 | 19% | 5 Aug → | ||
| 12–12 | 0.10 | 19% | 2 Aug → | ||
| 13–9 | 0.08 | 33% | 2 Aug → | ||
| 8–13 | -0.05 | 24% | 2 Aug → | ||
| 13–11 | 0.05 | 24% | 2 Aug → | ||
| 12–12 | -0.01 | 16% | 25 Jul → | ||
| 11–13 | -0.02 | 25% | 25 Jul → | ||
| 13–2 | 0.05 | 19% | 25 Jul → | ||
| 9–13 | 0.06 | 15% | 25 Jul → | ||
| 8–13 | 0.01 | 15% | 25 Jul → | ||
| 13–7 | -0.03 | 40% | 20 Jul → | ||
| 12–12 | 0.04 | 22% | 20 Jul → | ||
| 5–13 | 0.01 | 31% | 18 Jul → | ||
| 13–4 | -0.02 | 18% | 18 Jul → | ||
| 13–9 | -0.01 | 18% | 18 Jul → | ||
| 8–13 | -0.06 | 25% | 18 Jul → | ||
| 13–4 | 0.04 | 31% | 18 Jul → | ||
| 5–13 | -0.01 | 20% | 17 Jul → | ||
| 1–13 | -0.08 | 30% | 17 Jul → | ||
| 13–6 | 0.02 | 23% | 16 Jul → | ||
| 8–13 | -0.03 | 22% | 16 Jul → | ||
| 13–8 | 0.06 | 23% | 16 Jul → | ||
| 11–13 | 0.10 | 22% | 15 Jul → | ||
| 11–13 | 0.03 | 16% | 15 Jul → | ||
| 13–5 | 0.05 | 19% | 15 Jul → | ||
| 12–12 | 0.08 | 20% | 15 Jul → | ||
| 13–16 | -0.03 | 9% | 14 Jul → | ||
| 13–5 | -0.01 | 15% | 14 Jul → | ||
| 13–3 | -0.02 | 15% | 14 Jul → | ||
| boulder | 13–4 | 0.02 | 18% | 11 Jul → | |
| 13–5 | 0.06 | 21% | 11 Jul → | ||
| 12–12 | 0.01 | 14% | 11 Jul → | ||
| 13–5 | 0.04 | 19% | 11 Jul → | ||
| 13–8 | -0.01 | 16% | 11 Jul → | ||
| 13–4 | 0.07 | 20% | 11 Jul → | ||
| 13–6 | 0.09 | 26% | 11 Jul → | ||
| 13–10 | 0.00 | 16% | 10 Jul → | ||
| 13–5 | 0.07 | 25% | 10 Jul → | ||
| 10–13 | -0.01 | 18% | 9 Jul → | ||
| 3–13 | -0.02 | 22% | 9 Jul → | ||
| boulder | 13–8 | 0.06 | 27% | 9 Jul → | |
| 13–9 | 0.11 | 26% | 9 Jul → | ||
| 13–7 | 0.10 | 32% | 8 Jul → | ||
| 13–4 | 0.02 | 21% | 8 Jul → | ||
| 5–13 | -0.02 | 21% | 8 Jul → | ||
| 13–10 | 0.05 | 19% | 8 Jul → | ||
| 12–12 | 0.08 | 19% | 8 Jul → | ||
| 13–11 | -0.04 | 18% | 7 Jul → | ||
| 10–13 | 0.02 | 29% | 7 Jul → | ||
| 13–7 | 0.01 | 25% | 7 Jul → | ||
| 13–6 | 0.01 | 13% | 6 Jul → | ||
| 0–5 | 0.01 | 45% | 6 Jul → | ||
| 1–13 | 0.00 | 20% | 6 Jul → | ||
| 13–6 | 0.03 | 36% | 6 Jul → | ||
| 7–13 | 0.04 | 20% | 5 Jul → | ||
| 13–6 | 0.00 | 19% | 5 Jul → | ||
| 13–8 | 0.08 | 23% | 5 Jul → | ||
| 6–13 | 0.05 | 14% | 5 Jul → | ||
| 13–10 | -0.03 | 16% | 4 Jul → | ||
| 13–9 | 0.06 | 18% | 4 Jul → | ||
| 11–13 | -0.01 | 27% | 3 Jul → | ||
| 13–11 | 0.07 | 13% | 3 Jul → | ||
| 2–13 | -0.01 | 36% | 3 Jul → | ||
| 8–13 | -0.03 | 18% | 2 Jul → | ||
| 13–4 | -0.02 | 21% | 2 Jul → | ||
| 13–1 | 0.08 | 17% | 2 Jul → | ||
| 2–13 | 0.09 | 14% | 2 Jul → | ||
| 7–13 | -0.05 | 22% | 1 Jul → | ||
| 10–13 | -0.03 | 12% | 1 Jul → | ||
| 13–6 | -0.02 | 16% | 1 Jul → | ||
| 13–2 | 0.13 | 12% | 30 Jun → | ||
| 6–13 | 0.02 | 18% | 30 Jun → | ||
| 13–2 | -0.02 | 33% | 28 Jun → | ||
| 12–12 | -0.01 | 12% | 28 Jun → | ||
| 13–7 | 0.05 | 23% | 28 Jun → | ||
| 13–7 | 0.00 | 13% | 28 Jun → | ||
| 13–4 | 0.09 | 26% | 28 Jun → | ||
| 12–12 | -0.01 | 13% | 27 Jun → | ||
| 7–13 | -0.05 | 22% | 27 Jun → | ||
| 13–3 | 0.06 | 14% | 27 Jun → | ||
| 13–8 | 0.08 | 25% | 27 Jun → | ||
| 10–13 | 0.10 | 26% | 26 Jun → | ||
| 13–3 | 0.03 | 24% | 26 Jun → | ||
| 9–13 | -0.01 | 14% | 26 Jun → | ||
| 16–12 | 0.02 | 18% | 26 Jun → |
Match data via Leetify.