JonSom — CS2 Stats
NZ76561198057742569[U:1:97476841]Steam profile ↗1 game ban
What changed since last observed
CSDB last observed this profile on 11 Nov 2026 (4 days ago). 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 — 2,689
- 0 over 30 days · steady
- Next: 3,000 ELO at 3,000 — 311 to go
- Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
- 2,500 ELO first seen 2026-09-02
- Level 10 first seen 2026-09-02
Premier CS Rating
- 1,477 below peak (29,412)
- +5,376 over 30 days · improving
- Next: Gold band at 30,000 — 2,065 to go
- Reached: Red band · Pink band · Purple band · Blue band
- Pink band first seen 2026-09-02
- Purple band first seen 2026-09-02
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.
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: −10pp win rate · −0.03 avg rating · −3.1pp headshot accuracy · −9ms reaction
Win rate −10pp 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
- 2–3 · 40% win rate
- Avg rating 0.03
- Avg headshot accuracy 14%
- Avg reaction 502ms
Last 10
- 3–7 · 30% win rate
- Avg rating 0.01
- Avg headshot accuracy 13%
- Avg reaction 486ms
Last 20
- 7–13 · 35% win rate
- Avg rating 0.02
- Avg headshot accuracy 15%
- Avg reaction 490ms
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: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).
Sharp aimerExcellent counter-strafingStrong CT-side openerEffective flashes
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 Twistzz 95% playstyle similarity
Most alike: opening-duel success, 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
Aim. Aim score of 91 — the mechanical foundation is a clear strength.
Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.
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 7.7/10 (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.
Personal bests
Across the last 100 tracked matches.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 mirage | B | 21 | 10–11 | 48% | 0.03 |
 cache | S | 19 | 14–5 | 74% | 0.03 |
 dust2 | C | 19 | 8–11 | 42% | 0.05 |
 inferno | B | 17 | 8–9 | 47% | 0.04 |
 ancient | A | 10 | 6–4 | 60% | 0.02 |
 anubis | S | 8 | 6–2 | 75% | 0.01 |
 nuke | — | 4 | 2–2 | 50% | 0.01 |
| rush_001 | — | 2 | 1–1 | 50% | 0.09 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 355 | 52% | 1.20 | 16.9 |
| Dust2 | 179 | 47% | 1.26 | 16.1 |
| Ancient | 151 | 50% | 1.19 | 15.5 |
| Anubis | 136 | 49% | 1.29 | 17.0 |
| Inferno | 82 | 60% | 1.31 | 16.5 |
| Train | 71 | 51% | 1.23 | 16.4 |
| Overpass | 56 | 66% | 1.32 | 16.5 |
| Cache | 38 | 58% | 1.36 | 17.9 |
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 14.8091% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
42% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 3–13 | 0.04 | 10% | 14 Nov → | |
| cache | 9–13 | 0.01 | 20% | 14 Nov → | |
| ancient | 13–9 | 0.03 | 15% | 13 Nov → | |
| dust2 | 11–13 | 0.01 | 17% | 13 Nov → | |
| dust2 | 13–6 | 0.04 | 9% | 12 Nov → | |
| mirage | 10–13 | 0.00 | 6% | 11 Nov → | |
| mirage | 7–13 | -0.02 | 17% | 11 Nov → | |
| anubis | 8–13 | -0.03 | 13% | 10 Nov → | |
| ancient | 13–7 | 0.03 | 14% | 10 Nov → | |
| anubis | 3–13 | -0.06 | 10% | 10 Nov → | |
| cache | 13–6 | 0.14 | 18% | 9 Nov → | |
| cache | 13–9 | 0.07 | 22% | 9 Nov → | |
| dust2 | 10–13 | 0.06 | 16% | 8 Nov → | |
| mirage | 9–13 | -0.02 | 13% | 8 Nov → | |
| ancient | 4–13 | -0.00 | 21% | 7 Nov → | |
| inferno | 10–13 | 0.02 | 18% | 7 Nov → | |
| inferno | 13–5 | 0.06 | 8% | 5 Nov → | |
| cache | 8–0 | 0.03 | 19% | 5 Nov → | |
| ancient | 4–13 | 0.03 | 18% | 4 Nov → | |
| mirage | 3–13 | -0.01 | 10% | 4 Nov → | |
| nuke | 13–16 | 0.01 | 18% | 4 Nov → | |
| inferno | 13–11 | -0.03 | 13% | 3 Nov → | |
| nuke | 7–2 | -0.06 | 11% | 2 Nov → | |
| mirage | 11–13 | -0.00 | 16% | 2 Nov → | |
| ancient | 13–4 | 0.12 | 15% | 2 Nov → | |
| anubis | 13–10 | -0.01 | 6% | 1 Nov → | |
| mirage | 13–7 | 0.01 | 24% | 1 Nov → | |
| mirage | 13–8 | 0.11 | 25% | 1 Nov → | |
| mirage | 13–4 | 0.05 | 8% | 30 Oct → | |
| cache | 13–2 | 0.04 | 7% | 30 Oct → | |
| inferno | 13–6 | 0.04 | 7% | 30 Oct → | |
| mirage | 13–11 | -0.00 | 10% | 29 Oct → | |
| mirage | 13–4 | -0.01 | 14% | 29 Oct → | |
| cache | 13–7 | 0.09 | 11% | 28 Oct → | |
| dust2 | 2–13 | -0.06 | 15% | 28 Oct → | |
| dust2 | 10–13 | 0.05 | 19% | 28 Oct → | |
| dust2 | 15–15 | 0.03 | 15% | 28 Oct → | |
| dust2 | 13–3 | 0.11 | 17% | 27 Oct → | |
| anubis | 13–10 | 0.03 | 18% | 27 Oct → | |
| cache | 13–5 | -0.03 | 13% | 26 Oct → | |
| dust2 | 11–13 | 0.00 | 16% | 26 Oct → | |
| inferno | 16–14 | 0.11 | 16% | 26 Oct → | |
| anubis | 13–6 | 0.05 | 13% | 25 Oct → | |
| ancient | 8–13 | -0.02 | 14% | 25 Oct → | |
| anubis | 13–7 | -0.00 | 10% | 25 Oct → | |
| cache | 16–13 | -0.04 | 9% | 25 Oct → | |
| cache | 13–6 | 0.02 | 17% | 25 Oct → | |
| inferno | 10–13 | 0.04 | 18% | 24 Oct → | |
| dust2 | 14–16 | 0.05 | 23% | 24 Oct → | |
| cache | 9–13 | -0.04 | 12% | 23 Oct → | |
| inferno | 7–13 | -0.01 | 21% | 23 Oct → | |
| mirage | 13–2 | 0.13 | 21% | 23 Oct → | |
| anubis | 13–11 | 0.03 | 10% | 21 Oct → | |
| mirage | 13–10 | 0.09 | 19% | 21 Oct → | |
| inferno | 11–13 | 0.01 | 18% | 21 Oct → | |
| mirage | 8–13 | 0.01 | 8% | 21 Oct → | |
| ancient | 13–11 | -0.03 | 14% | 20 Oct → | |
| cache | 3–13 | -0.03 | 11% | 20 Oct → | |
| dust2 | 13–11 | 0.11 | 33% | 20 Oct → | |
| cache | 13–9 | 0.08 | 8% | 20 Oct → | |
| ancient | 10–1 | -0.01 | 27% | 20 Oct → | |
| cache | 10–13 | -0.06 | 5% | 19 Oct → | |
| cache | 13–1 | 0.02 | 4% | 19 Oct → | |
| dust2 | 13–8 | 0.11 | 9% | 19 Oct → | |
| ancient | 15–15 | -0.02 | 12% | 18 Oct → | |
| mirage | 6–13 | -0.01 | 14% | 18 Oct → | |
| ancient | 13–3 | 0.04 | 12% | 18 Oct → | |
| dust2 | 13–6 | 0.06 | 16% | 18 Oct → | |
| anubis | 13–3 | 0.08 | 14% | 17 Oct → | |
| dust2 | 9–13 | 0.01 | 18% | 17 Oct → | |
| mirage | 13–11 | 0.03 | 14% | 16 Oct → | |
| mirage | 10–3 | 0.10 | 12% | 15 Oct → | |
| inferno | 13–3 | 0.10 | 20% | 15 Oct → | |
| dust2 | 9–13 | 0.01 | 10% | 15 Oct → | |
| inferno | 13–3 | 0.09 | 13% | 15 Oct → | |
| mirage | 7–13 | -0.01 | 19% | 15 Oct → | |
| inferno | 13–5 | 0.03 | 10% | 14 Oct → | |
| inferno | 3–2 | 0.11 | 33% | 14 Oct → | |
| mirage | 10–13 | 0.02 | 16% | 14 Oct → | |
| cache | 13–9 | -0.02 | 14% | 14 Oct → | |
| inferno | 10–13 | 0.08 | 11% | 12 Oct → | |
| cache | 13–1 | 0.05 | 11% | 11 Oct → | |
| inferno | 6–13 | 0.10 | 12% | 11 Oct → | |
| inferno | 8–13 | -0.01 | 14% | 10 Oct → | |
| dust2 | 9–13 | 0.04 | 17% | 10 Oct → | |
| dust2 | 7–13 | 0.02 | 24% | 9 Oct → | |
| dust2 | 13–9 | 0.06 | 16% | 9 Oct → | |
| nuke | 12–16 | -0.01 | 21% | 9 Oct → | |
| cache | 13–10 | 0.02 | 13% | 7 Oct → | |
| mirage | 11–13 | 0.08 | 10% | 5 Oct → | |
| mirage | 13–2 | 0.11 | 9% | 5 Oct → | |
| dust2 | 19–16 | 0.06 | 14% | 4 Oct → | |
| rush_001 | 4–0 | 0.07 | 17% | 3 Oct → | |
| nuke | 13–9 | 0.09 | 11% | 2 Oct → | |
| rush_001 | 5–8 | 0.10 | 13% | 1 Oct → | |
| cache | 11–13 | 0.07 | 22% | 28 Sept → | |
| inferno | 0–2 | -0.04 | 0% | 3 Sept → | |
| cache | 13–8 | 0.14 | 14% | 2 Sept → | |
| inferno | 5–13 | 0.03 | 32% | 2 Sept → | |
| dust2 | 13–6 | 0.13 | 16% | 17 Aug → |
Match data via Leetify.
Recent teammates
Milestones
This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.