aktivie | Inferno Only — CS2 Stats
US76561198103897382[U:1:143631654]Steam profile ↗✓ No bans
What changed since last observed
CSDB last observed this profile on 4 Sep 2026 (14 days ago). Ranks are recorded once per day this page is viewed.
CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 32 days played since 26 Jul 2026. Come back after the next session and the change shows above.
Is this you? Sign in with Steam to claim it and connect match tracking →
Rating over time
Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.
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: −30pp win rate · −0.01 avg rating · +4.0pp headshot accuracy · +75ms reaction
Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).
Last 5 · 10 · 20 matches
Last 5
- 1–3–1 · 20% win rate
- Avg rating 0.00
- Avg headshot accuracy 17%
- Avg reaction 563ms
Last 10
- 5–3–2 · 50% win rate
- Avg rating 0.02
- Avg headshot accuracy 17%
- Avg reaction 589ms
Last 20
- 13–4–3 · 65% win rate
- Avg rating 0.02
- Avg headshot accuracy 15%
- Avg reaction 551ms
Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.
Player DNA
Primary style: Support — Utility contribution stands above the rest of this profile (+2.5 against its own average).
High utility contribution
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.
Your pro match
Plays most like jL 53% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: lower opening-duel success; 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
Strengths
Utility. Utility score of 81 — grenade impact well above the norm.
Areas to improve
Counter-strafing. Only 64% 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 5.2/10 (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.
Personal bests
Across the last 100 tracked matches.
Highlights
Map breakdown
Strongest and weakest map need 5+ matches on two different maps — 1 of 2 maps qualify so far.
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 inferno | A | 99 | 60–39 | 61% | 0.02 |
| fachwerk | — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWL
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.
- 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 14.2135% — below the 15% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 12–12 | -0.04 | 26% | 18 Sept → | |
| inferno | 2–13 | -0.04 | 9% | 18 Sept → | |
| inferno | 13–3 | 0.08 | 14% | 16 Sept → | |
| inferno | 2–13 | 0.06 | 13% | 16 Sept → | |
| inferno | 6–13 | -0.05 | 25% | 16 Sept → | |
| inferno | 13–11 | -0.03 | 11% | 14 Sept → | |
| inferno | 13–7 | -0.00 | 13% | 14 Sept → | |
| inferno | 12–12 | 0.05 | 24% | 14 Sept → | |
| inferno | 13–6 | 0.10 | 15% | 14 Sept → | |
| inferno | 13–2 | 0.06 | 16% | 13 Sept → | |
| inferno | 13–8 | -0.04 | 8% | 13 Sept → | |
| inferno | 12–12 | 0.00 | 10% | 12 Sept → | |
| inferno | 13–10 | 0.06 | 7% | 12 Sept → | |
| inferno | 13–6 | 0.01 | 15% | 10 Sept → | |
| inferno | 13–5 | 0.00 | 14% | 10 Sept → | |
| inferno | 13–2 | 0.03 | 16% | 9 Sept → | |
| inferno | 8–13 | 0.01 | 21% | 6 Sept → | |
| inferno | 13–2 | 0.06 | 25% | 6 Sept → | |
| inferno | 13–5 | 0.08 | 6% | 1 Sept → | |
| inferno | 13–3 | 0.07 | 4% | 29 Aug → | |
| inferno | 13–11 | -0.00 | 12% | 29 Aug → | |
| inferno | 13–1 | 0.10 | 16% | 29 Aug → | |
| inferno | 9–13 | -0.01 | 8% | 27 Aug → | |
| inferno | 6–13 | -0.06 | 18% | 25 Aug → | |
| inferno | 13–8 | 0.01 | 22% | 18 Aug → | |
| inferno | 13–6 | 0.01 | 12% | 18 Aug → | |
| inferno | 5–13 | 0.03 | 12% | 16 Aug → | |
| inferno | 8–8 | 0.01 | 12% | 15 Aug → | |
| inferno | 9–3 | 0.06 | 26% | 15 Aug → | |
| inferno | 4–9 | -0.08 | 27% | 15 Aug → | |
| inferno | 13–10 | -0.05 | 11% | 15 Aug → | |
| inferno | 8–13 | -0.03 | 7% | 13 Aug → | |
| inferno | 8–1 | 0.11 | 18% | 13 Aug → | |
| inferno | 9–13 | 0.00 | 11% | 13 Aug → | |
| inferno | 13–4 | 0.12 | 15% | 13 Aug → | |
| inferno | 3–9 | -0.14 | 11% | 11 Aug → | |
| inferno | 13–3 | -0.04 | 6% | 11 Aug → | |
| inferno | 13–4 | 0.05 | 10% | 11 Aug → | |
| inferno | 9–6 | -0.12 | 3% | 9 Aug → | |
| inferno | 8–8 | 0.02 | 20% | 9 Aug → | |
| inferno | 13–6 | 0.03 | 15% | 8 Aug → | |
| inferno | 13–3 | 0.04 | 18% | 8 Aug → | |
| inferno | 13–1 | 0.02 | 21% | 7 Aug → | |
| inferno | 13–8 | 0.04 | 15% | 7 Aug → | |
| inferno | 13–6 | 0.03 | 14% | 7 Aug → | |
| inferno | 13–6 | 0.13 | 22% | 7 Aug → | |
| inferno | 13–1 | 0.07 | 30% | 7 Aug → | |
| inferno | 5–9 | 0.03 | 21% | 6 Aug → | |
| inferno | 4–9 | -0.10 | 21% | 6 Aug → | |
| inferno | 7–9 | 0.01 | 21% | 6 Aug → | |
| inferno | 8–8 | 0.01 | 16% | 6 Aug → | |
| inferno | 9–7 | 0.08 | 20% | 6 Aug → | |
| inferno | 5–9 | -0.06 | 22% | 6 Aug → | |
| inferno | 8–8 | -0.00 | 21% | 6 Aug → | |
| inferno | 9–5 | -0.13 | 25% | 6 Aug → | |
| inferno | 7–9 | -0.02 | 11% | 6 Aug → | |
| inferno | 9–13 | -0.02 | 8% | 5 Aug → | |
| inferno | 13–2 | 0.10 | 10% | 5 Aug → | |
| inferno | 12–12 | -0.03 | 9% | 5 Aug → | |
| inferno | 13–4 | 0.10 | 4% | 5 Aug → | |
| inferno | 10–13 | 0.10 | 19% | 4 Aug → | |
| fachwerk | 10–13 | -0.05 | 19% | 4 Aug → | |
| inferno | 9–2 | 0.04 | 17% | 4 Aug → | |
| inferno | 9–7 | 0.05 | 7% | 4 Aug → | |
| inferno | 9–3 | 0.12 | 15% | 4 Aug → | |
| inferno | 9–13 | -0.01 | 15% | 3 Aug → | |
| inferno | 12–12 | 0.00 | 14% | 3 Aug → | |
| inferno | 13–2 | 0.12 | 13% | 2 Aug → | |
| inferno | 9–5 | 0.08 | 21% | 2 Aug → | |
| inferno | 9–7 | 0.02 | 16% | 2 Aug → | |
| inferno | 9–6 | 0.06 | 8% | 2 Aug → | |
| inferno | 9–2 | 0.28 | 12% | 2 Aug → | |
| inferno | 13–9 | 0.09 | 9% | 2 Aug → | |
| inferno | 7–9 | -0.03 | 8% | 2 Aug → | |
| inferno | 8–13 | 0.03 | 15% | 2 Aug → | |
| inferno | 9–7 | -0.00 | 17% | 2 Aug → | |
| inferno | 9–2 | 0.17 | 19% | 2 Aug → | |
| inferno | 5–4 | 0.06 | 11% | 2 Aug → | |
| inferno | 13–9 | 0.11 | 19% | 2 Aug → | |
| inferno | 13–2 | -0.00 | 23% | 2 Aug → | |
| inferno | 13–8 | 0.05 | 19% | 1 Aug → | |
| inferno | 13–8 | 0.00 | 15% | 1 Aug → | |
| inferno | 10–0 | 0.00 | 24% | 1 Aug → | |
| inferno | 10–13 | -0.01 | 15% | 31 Jul → | |
| inferno | 13–10 | -0.02 | 21% | 31 Jul → | |
| inferno | 9–13 | 0.01 | 17% | 31 Jul → | |
| inferno | 3–9 | -0.14 | 33% | 30 Jul → | |
| inferno | 4–9 | 0.10 | 33% | 30 Jul → | |
| inferno | 7–9 | -0.10 | 11% | 30 Jul → | |
| inferno | 13–4 | -0.03 | 16% | 30 Jul → | |
| inferno | 13–2 | -0.03 | 11% | 30 Jul → | |
| inferno | 5–13 | 0.01 | 7% | 29 Jul → | |
| inferno | 13–5 | 0.09 | 20% | 29 Jul → | |
| inferno | 13–1 | 0.03 | 14% | 29 Jul → | |
| inferno | 7–13 | -0.02 | 10% | 29 Jul → | |
| inferno | 13–5 | 0.02 | 11% | 28 Jul → | |
| inferno | 10–13 | 0.00 | 22% | 27 Jul → | |
| inferno | 13–6 | 0.02 | 18% | 27 Jul → | |
| inferno | 8–1 | 0.11 | 5% | 26 Jul → | |
| inferno | 13–7 | 0.01 | 15% | 26 Jul → |
Match data via Leetify.
