fence eater man — CS2 Stats
FI76561198209215129[U:1:248949401]Steam profile ↗✓ No bans
Rating over time
Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: −10pp win rate · −0.05 avg rating · +2.6pp headshot accuracy · −53ms 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
- 1–4 · 20% win rate
- Avg rating -0.06
- Avg headshot accuracy 9%
- Avg reaction 510ms
Last 10
- 2–8 · 20% win rate
- Avg rating -0.06
- Avg headshot accuracy 13%
- Avg reaction 504ms
Last 20
- 5–14–1 · 25% win rate
- Avg rating -0.03
- Avg headshot accuracy 12%
- Avg reaction 531ms
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 (+2.1 against its own average).
Strong CT-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 iM 70% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower positioning profile; lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
CSDB Rating breakdown
Composite 4.3/10 (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
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 dust2 | A | 26 | 16–10 | 62% | -0.00 |
 mirage | B | 25 | 13–12 | 52% | -0.01 |
 nuke | B | 14 | 7–7 | 50% | 0.02 |
 train | B | 10 | 5–5 | 50% | 0.01 |
 inferno | C | 7 | 3–4 | 43% | -0.01 |
 cache | D | 6 | 0–6 | 0% | -0.01 |
 anubis | C | 5 | 2–3 | 40% | -0.04 |
 ancient | — | 4 | 3–1 | 75% | 0.06 |
| office | — | 2 | 1–1 | 50% | -0.00 |
 vertigo | — | 1 | 0–1 | 0% | -0.10 |
Across the last 100 tracked matches.
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.
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 12.7508% — below the 15% mark we flag
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 32.9032% — 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.
0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 13–6 | 0.04 | 19% | 21 Oct → | |
| mirage | 7–13 | -0.06 | 11% | 21 Oct → | |
| anubis | 6–13 | -0.09 | 15% | 14 Oct → | |
| dust2 | 4–13 | -0.10 | 0% | 14 Oct → | |
| dust2 | 14–16 | -0.08 | 0% | 14 Oct → | |
| cache | 9–13 | -0.02 | 12% | 30 Sept → | |
| dust2 | 7–13 | -0.09 | 18% | 30 Sept → | |
| inferno | 6–13 | -0.11 | 25% | 30 Sept → | |
| inferno | 13–8 | -0.05 | 18% | 30 Sept → | |
| anubis | 7–13 | 0.01 | 15% | 30 Sept → | |
| mirage | 5–13 | -0.06 | 13% | 30 Sept → | |
| dust2 | 13–7 | -0.02 | 7% | 28 Sept → | |
| cache | 11–13 | 0.06 | 11% | 28 Sept → | |
| inferno | 8–13 | 0.02 | 19% | 28 Sept → | |
| cache | 7–13 | 0.06 | 10% | 28 Sept → | |
| mirage | 13–10 | 0.00 | 9% | 27 Sept → | |
| dust2 | 15–15 | -0.01 | 13% | 23 Sept → | |
| inferno | 6–13 | -0.00 | 9% | 23 Sept → | |
| dust2 | 13–11 | -0.05 | 8% | 23 Sept → | |
| mirage | 11–13 | -0.08 | 8% | 23 Sept → | |
| mirage | 4–13 | -0.03 | 19% | 23 Sept → | |
| anubis | 10–13 | -0.08 | 19% | 21 Sept → | |
| cache | 6–13 | -0.08 | 15% | 21 Sept → | |
| cache | 5–13 | -0.04 | 10% | 21 Sept → | |
| mirage | 7–13 | -0.06 | 20% | 21 Sept → | |
| dust2 | 13–7 | 0.03 | 11% | 20 Sept → | |
| nuke | 14–16 | -0.05 | 6% | 20 Sept → | |
| cache | 5–13 | -0.07 | 17% | 20 Sept → | |
| dust2 | 9–13 | -0.07 | 12% | 18 Sept → | |
| train | 13–11 | -0.06 | 11% | 16 Dec → | |
| mirage | 7–13 | -0.06 | 11% | 13 Dec → | |
| mirage | 8–13 | -0.02 | 14% | 7 Dec → | |
| dust2 | 13–11 | 0.00 | 7% | 12 Apr → | |
| train | 9–13 | 0.00 | 20% | 12 Apr → | |
| office | 13–7 | 0.01 | 28% | 6 Apr → | |
| mirage | 13–11 | 0.08 | 35% | 25 Mar → | |
| dust2 | 14–16 | -0.04 | 13% | 11 Mar → | |
| nuke | 13–11 | 0.02 | 17% | 6 Mar → | |
| mirage | 13–4 | 0.13 | 11% | 6 Mar → | |
| dust2 | 15–15 | -0.01 | 11% | 6 Mar → | |
| mirage | 13–9 | 0.02 | 12% | 5 Mar → | |
| dust2 | 11–4 | 0.09 | 13% | 5 Mar → | |
| nuke | 13–6 | 0.11 | 35% | 2 Mar → | |
| dust2 | 13–7 | 0.05 | 14% | 27 Feb → | |
| office | 12–12 | -0.02 | 15% | 27 Feb → | |
| mirage | 13–6 | -0.01 | 10% | 27 Feb → | |
| inferno | 13–11 | 0.04 | 10% | 26 Feb → | |
| mirage | 13–6 | -0.00 | 5% | 26 Feb → | |
| dust2 | 9–13 | -0.08 | 3% | 26 Feb → | |
| train | 13–4 | -0.02 | 14% | 26 Feb → | |
| mirage | 4–13 | -0.07 | 14% | 26 Feb → | |
| dust2 | 16–14 | -0.01 | 15% | 26 Feb → | |
| mirage | 13–2 | -0.01 | 21% | 26 Feb → | |
| mirage | 13–10 | -0.02 | 7% | 26 Feb → | |
| anubis | 16–14 | -0.01 | 6% | 25 Feb → | |
| mirage | 13–6 | 0.03 | 11% | 25 Feb → | |
| nuke | 10–13 | 0.01 | 6% | 25 Feb → | |
| dust2 | 5–13 | 0.08 | 18% | 25 Feb → | |
| train | 13–7 | 0.05 | 6% | 24 Feb → | |
| mirage | 13–4 | -0.08 | 6% | 24 Feb → | |
| vertigo | 1–13 | -0.10 | 7% | 24 Feb → | |
| train | 13–10 | -0.00 | 8% | 18 Feb → | |
| nuke | 8–13 | -0.03 | 14% | 18 Feb → | |
| train | 7–13 | 0.06 | 14% | 18 Feb → | |
| nuke | 13–7 | 0.10 | 5% | 18 Feb → | |
| dust2 | 13–4 | 0.04 | 16% | 18 Feb → | |
| mirage | 13–10 | -0.05 | 6% | 16 Feb → | |
| dust2 | 13–1 | 0.05 | 19% | 16 Feb → | |
| mirage | 13–1 | 0.07 | 20% | 16 Feb → | |
| dust2 | 13–1 | 0.04 | 20% | 16 Feb → | |
| ancient | 13–6 | 0.01 | 11% | 16 Feb → | |
| nuke | 13–6 | 0.05 | 12% | 16 Feb → | |
| dust2 | 14–16 | 0.01 | 12% | 12 Feb → | |
| dust2 | 13–7 | 0.06 | 10% | 12 Feb → | |
| mirage | 8–11 | 0.08 | 19% | 11 Feb → | |
| mirage | 13–16 | -0.05 | 11% | 11 Feb → | |
| ancient | 13–2 | 0.07 | 4% | 11 Feb → | |
| ancient | 6–13 | 0.03 | 11% | 10 Feb → | |
| dust2 | 13–10 | -0.01 | 21% | 10 Feb → | |
| dust2 | 13–6 | 0.06 | 28% | 10 Feb → | |
| inferno | 10–13 | -0.04 | 11% | 10 Feb → | |
| anubis | 16–13 | -0.03 | 17% | 5 Feb → | |
| train | 7–13 | -0.03 | 11% | 5 Feb → | |
| dust2 | 13–5 | 0.04 | 14% | 5 Feb → | |
| nuke | 7–13 | 0.01 | 7% | 5 Feb → | |
| ancient | 13–6 | 0.13 | 17% | 5 Feb → | |
| nuke | 13–1 | -0.04 | 19% | 5 Feb → | |
| mirage | 3–13 | -0.05 | 21% | 3 Feb → | |
| nuke | 11–13 | -0.02 | 12% | 3 Feb → | |
| train | 11–13 | -0.07 | 17% | 3 Feb → | |
| dust2 | 13–5 | -0.02 | 8% | 3 Feb → | |
| mirage | 3–13 | -0.07 | 11% | 3 Feb → | |
| nuke | 13–3 | -0.01 | 6% | 3 Feb → | |
| nuke | 13–3 | 0.11 | 12% | 2 Feb → | |
| dust2 | 13–3 | -0.01 | 5% | 29 Jan → | |
| nuke | 13–16 | 0.01 | 12% | 29 Jan → | |
| mirage | 13–9 | 0.07 | 19% | 23 Jan → | |
| train | 13–2 | 0.10 | 10% | 23 Jan → | |
| nuke | 12–12 | -0.03 | 7% | 23 Jan → | |
| train | 12–12 | 0.03 | 5% | 23 Jan → |
Match data via Leetify.
Recent teammates
c-kana37 recent matches together
Valo /\ /\ :365 recent matches together
mayto10 recent matches together
Jesse "Jesse Mikkola" Mikkola11 recent matches together
piippuharrastaja16 recent matches together
muslimiharrastaja17 recent matches together
Asiallinen suomalainen mies10 recent matches together
Natural selector 0312 recent matches together
Milestones
This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.