Ponisvalds — CS2 Stats
LY76561198186987577[U:1:226721849]Steam profile ↗✓ No bans
What changed since last observed
CSDB last observed this profile on 13 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.
No change since then. Play, then come back: the next observation lands here.
Rating over time
Faceit ELO
- At peak — 1,210
- 0 over 30 days · steady
- Next: Level 7 at 1,351 — 141 to go
- Reached: Level 6 · Level 5 · Level 4 · Level 3
- Level 6 first seen 2026-09-01
- Level 5 first seen 2026-09-01
Premier CS Rating
- 4,972 below peak (23,802)
- Next: Pink band at 20,000 — 1,170 to go
- Reached: Pink band · Purple band · Blue band · Light Blue band
- Pink band first seen 2026-09-01
- Purple band first seen 2026-09-01
Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=37,767), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 40.1% | 44.4% | 46.9% | 6.8% short |
| Shot accuracy | 12.8% | 11.9% | 13.0% | meets |
| Kill/death ratio | 1.11 | 1.03 | 1.08 | above |
| Match win rate | 46.9% | 45.2% | 46.7% | meets |
This profile matches the typical Pink band player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · −1.6pp headshot accuracy · −14ms reaction
Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.
Last 5 · 10 · 20 matches
Last 5
- 3–2 · 60% win rate
- Avg rating 0.00
- Avg headshot accuracy 15%
- Avg reaction 486ms
Last 10
- 4–6 · 40% win rate
- Avg rating -0.01
- Avg headshot accuracy 16%
- Avg reaction 495ms
Last 20
- 8–11–1 · 40% win rate
- Avg rating 0.01
- Avg headshot accuracy 16%
- Avg reaction 502ms
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 (+1.3 against its own average).
Strong T-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.
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 ZywOo 81% playstyle similarity
Most alike: positioning profile, utility contribution.
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
Strengths
T openings. 78% T opening-duel success — entries that actually open the round.
Areas to improve
CT openings. Opening success drops from 78% on T to 40% on CT — first contacts on the defending side are being lost.
Counter-strafing. Only 67% 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 6.0/10 (Solid), 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
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| office | B | 52 | 27–25 | 52% | 0.03 |
 inferno | D | 12 | 4–8 | 33% | 0.00 |
 dust2 | D | 9 | 3–6 | 33% | 0.02 |
 cache | C | 5 | 2–3 | 40% | 0.00 |
| debris | — | 4 | 2–2 | 50% | -0.02 |
 nuke | — | 4 | 3–1 | 75% | -0.01 |
 mirage | — | 4 | 3–1 | 75% | 0.06 |
 vertigo | — | 3 | 1–2 | 33% | -0.05 |
 overpass | — | 2 | 2–0 | 100% | 0.08 |
| eldorado | — | 2 | 1–1 | 50% | -0.04 |
 anubis | — | 2 | 0–2 | 0% | -0.05 |
 train | — | 1 | 1–0 | 100% | -0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno 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 resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 48 | 54% | 1.28 | 16.3 |
| Dust2 | 32 | 56% | 1.15 | 16.0 |
| Inferno | 25 | 76% | 1.44 | 16.8 |
| Nuke | 18 | 67% | 1.14 | 16.1 |
| Vertigo | 18 | 39% | 1.21 | 18.1 |
| Ancient | 15 | 80% | 1.47 | 17.6 |
| Overpass | 13 | 62% | 1.22 | 17.9 |
| Anubis | 13 | 46% | 1.16 | 16.1 |
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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 39.9998% — 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 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| train | 13–5 | -0.03 | 19% | 13 Nov → | |
| dust2 | 6–13 | -0.01 | 21% | 13 Nov → | |
| overpass | 13–10 | 0.04 | 15% | 12 Nov → | |
| inferno | 10–13 | -0.04 | 6% | 12 Nov → | |
| inferno | 13–7 | 0.05 | 13% | 12 Nov → | |
| office | 4–13 | -0.02 | 20% | 11 Nov → | |
| debris | 9–7 | -0.01 | 16% | 11 Nov → | |
| debris | 3–9 | -0.06 | 9% | 11 Nov → | |
| dust2 | 8–13 | 0.03 | 28% | 11 Nov → | |
| office | 3–13 | -0.02 | 8% | 10 Nov → | |
| office | 6–13 | 0.02 | 15% | 10 Nov → | |
| inferno | 7–9 | 0.03 | 18% | 10 Nov → | |
| inferno | 8–13 | -0.02 | 15% | 10 Nov → | |
| cache | 13–8 | 0.05 | 31% | 10 Nov → | |
| office | 5–11 | -0.01 | 10% | 5 Nov → | |
| office | 12–12 | 0.02 | 15% | 5 Nov → | |
| office | 13–8 | 0.09 | 15% | 5 Nov → | |
| office | 13–4 | 0.03 | 15% | 4 Nov → | |
| office | 13–9 | 0.02 | 18% | 4 Nov → | |
| office | 3–13 | 0.03 | 19% | 4 Nov → | |
| office | 13–8 | -0.01 | 8% | 4 Nov → | |
| office | 13–11 | 0.02 | 7% | 4 Nov → | |
| office | 13–5 | 0.05 | 20% | 4 Nov → | |
| office | 13–9 | 0.02 | 19% | 3 Nov → | |
| office | 4–13 | -0.07 | 19% | 3 Nov → | |
| office | 11–13 | -0.04 | 27% | 3 Nov → | |
| office | 9–13 | -0.00 | 6% | 3 Nov → | |
| office | 10–13 | 0.01 | 8% | 3 Nov → | |
| office | 8–13 | 0.03 | 15% | 3 Nov → | |
| office | 13–11 | -0.05 | 12% | 2 Nov → | |
| office | 6–13 | -0.01 | 12% | 2 Nov → | |
| office | 11–13 | 0.04 | 16% | 2 Nov → | |
| inferno | 7–9 | -0.06 | 17% | 1 Nov → | |
| nuke | 9–6 | 0.05 | 8% | 1 Nov → | |
| office | 10–13 | 0.04 | 14% | 1 Nov → | |
| office | 13–0 | 0.09 | 30% | 1 Nov → | |
| office | 13–2 | 0.20 | 19% | 1 Nov → | |
| office | 13–8 | 0.04 | 19% | 1 Nov → | |
| office | 13–11 | 0.09 | 7% | 31 Oct → | |
| office | 12–12 | -0.02 | 9% | 31 Oct → | |
| debris | 9–3 | 0.03 | 6% | 31 Oct → | |
| eldorado | 9–7 | 0.01 | 10% | 31 Oct → | |
| office | 3–13 | -0.03 | 17% | 31 Oct → | |
| office | 12–12 | -0.03 | 9% | 31 Oct → | |
| inferno | 10–13 | 0.00 | 16% | 31 Oct → | |
| office | 13–11 | 0.08 | 13% | 31 Oct → | |
| office | 13–4 | 0.05 | 20% | 31 Oct → | |
| office | 12–12 | -0.01 | 14% | 30 Oct → | |
| office | 13–5 | 0.04 | 16% | 30 Oct → | |
| inferno | 1–9 | -0.08 | 19% | 30 Oct → | |
| nuke | 9–7 | 0.01 | 11% | 30 Oct → | |
| nuke | 3–9 | -0.10 | 25% | 30 Oct → | |
| office | 11–13 | 0.06 | 16% | 30 Oct → | |
| office | 12–12 | 0.02 | 10% | 29 Oct → | |
| office | 10–13 | -0.01 | 20% | 29 Oct → | |
| office | 13–8 | -0.01 | 11% | 29 Oct → | |
| inferno | 9–5 | -0.04 | 18% | 28 Oct → | |
| office | 4–13 | -0.07 | 7% | 28 Oct → | |
| office | 12–12 | 0.12 | 12% | 28 Oct → | |
| office | 13–5 | 0.03 | 16% | 27 Oct → | |
| inferno | 9–3 | 0.32 | 19% | 27 Oct → | |
| office | 11–13 | 0.06 | 13% | 27 Oct → | |
| office | 13–11 | 0.08 | 8% | 27 Oct → | |
| office | 13–5 | -0.01 | 7% | 26 Oct → | |
| office | 13–8 | 0.00 | 8% | 26 Oct → | |
| office | 13–5 | 0.16 | 24% | 26 Oct → | |
| office | 13–5 | 0.05 | 9% | 26 Oct → | |
| dust2 | 13–4 | -0.03 | 25% | 26 Oct → | |
| cache | 13–4 | 0.07 | 30% | 25 Oct → | |
| anubis | 11–13 | -0.06 | 16% | 25 Oct → | |
| anubis | 11–13 | -0.04 | 21% | 24 Oct → | |
| dust2 | 11–13 | -0.00 | 24% | 24 Oct → | |
| cache | 5–13 | -0.03 | 21% | 24 Oct → | |
| office | 13–11 | 0.10 | 19% | 11 Sept → | |
| dust2 | 3–13 | -0.06 | 13% | 11 Sept → | |
| eldorado | 2–9 | -0.09 | 9% | 11 Sept → | |
| dust2 | 5–13 | 0.05 | 24% | 11 Sept → | |
| cache | 7–13 | -0.05 | 17% | 11 Sept → | |
| inferno | 11–13 | -0.02 | 6% | 10 Sept → | |
| mirage | 13–11 | 0.09 | 17% | 10 Sept → | |
| debris | 5–9 | -0.04 | 16% | 10 Sept → | |
| office | 13–8 | 0.02 | 18% | 10 Sept → | |
| office | 10–13 | -0.01 | 22% | 10 Sept → | |
| inferno | 2–13 | -0.06 | 14% | 10 Sept → | |
| mirage | 7–13 | 0.03 | 17% | 10 Sept → | |
| mirage | 13–10 | 0.01 | 3% | 9 Sept → | |
| inferno | 13–7 | -0.03 | 19% | 9 Sept → | |
| mirage | 13–2 | 0.12 | 23% | 9 Sept → | |
| dust2 | 13–6 | 0.12 | 20% | 9 Sept → | |
| dust2 | 15–15 | 0.01 | 17% | 9 Sept → | |
| office | 13–9 | -0.02 | 24% | 9 Sept → | |
| cache | 14–16 | -0.04 | 9% | 8 Sept → | |
| office | 13–8 | 0.06 | 20% | 8 Sept → | |
| vertigo | 9–7 | 0.14 | 23% | 8 Sept → | |
| office | 13–5 | 0.04 | 25% | 8 Sept → | |
| vertigo | 4–9 | -0.14 | 14% | 7 Sept → | |
| nuke | 9–7 | 0.01 | 17% | 7 Sept → | |
| overpass | 9–3 | 0.12 | 21% | 7 Sept → | |
| vertigo | 2–9 | -0.15 | 15% | 7 Sept → | |
| dust2 | 13–6 | 0.06 | 7% | 7 Sept → |
Match data via Leetify.
Recent teammates
Milestones
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