Paul E. Tician — CS2 Stats
DE76561198288617436[U:1:328351708]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: −20pp win rate · −0.01 avg rating · −4.6pp headshot accuracy · +50ms reaction
Win rate down 20pp 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
- 0–4–1 · 0% win rate
- Avg rating -0.05
- Avg headshot accuracy 10%
- Avg reaction 606ms
Last 10
- 2–7–1 · 20% win rate
- Avg rating -0.04
- Avg headshot accuracy 11%
- Avg reaction 487ms
Last 20
- 6–12–2 · 30% win rate
- Avg rating -0.03
- Avg headshot accuracy 14%
- Avg reaction 462ms
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 (+1.2 against its own average).
Strong CT-side openerLimited utility dependence
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 sh1ro 95% playstyle similarity
Most alike: aim profile, opening-duel success.
Where you differ: lower utility contribution; lower positioning 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
Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 49% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.
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 4.8/10 (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 |
|---|---|---|---|---|---|
 inferno | A | 42 | 23–19 | 55% | 0.00 |
 anubis | D | 13 | 2–11 | 15% | -0.03 |
 nuke | D | 12 | 4–8 | 33% | -0.02 |
 overpass | C | 9 | 4–5 | 44% | -0.02 |
 cache | D | 7 | 1–6 | 14% | -0.03 |
 mirage | A | 5 | 3–2 | 60% | 0.00 |
| office | A | 5 | 3–2 | 60% | 0.04 |
 dust2 | — | 4 | 2–2 | 50% | -0.01 |
 ancient | — | 2 | 0–2 | 0% | -0.02 |
 train | — | 1 | 0–1 | 0% | -0.04 |
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.
- 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 0.4031 — below the 0.5 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 28.5828% — 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.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| anubis | 8–13 | -0.05 | 0% | 3 Nov → | |
| inferno | 12–12 | -0.01 | 10% | 2 Nov → | |
| nuke | 1–9 | -0.16 | 14% | 1 Nov → | |
| nuke | 10–13 | -0.02 | 13% | 27 Oct → | |
| cache | 5–13 | -0.04 | 14% | 27 Oct → | |
| mirage | 14–16 | -0.07 | 15% | 22 Oct → | |
| anubis | 13–6 | -0.01 | 8% | 22 Oct → | |
| nuke | 16–14 | 0.03 | 7% | 21 Oct → | |
| inferno | 9–13 | -0.04 | 19% | 20 Oct → | |
| inferno | 10–13 | 0.01 | 13% | 14 Oct → | |
| cache | 9–13 | -0.02 | 7% | 6 Oct → | |
| inferno | 13–7 | -0.00 | 5% | 6 Oct → | |
| inferno | 13–7 | -0.00 | 20% | 5 Oct → | |
| inferno | 13–5 | 0.03 | 38% | 5 Oct → | |
| inferno | 13–10 | 0.00 | 10% | 29 Sept → | |
| cache | 7–13 | -0.06 | 9% | 24 Sept → | |
| inferno | 5–13 | -0.05 | 21% | 21 Sept → | |
| cache | 15–15 | -0.00 | 23% | 16 Sept → | |
| inferno | 10–13 | -0.04 | 15% | 16 Sept → | |
| cache | 7–13 | -0.06 | 11% | 14 Sept → | |
| inferno | 13–5 | -0.03 | 20% | 14 Sept → | |
| nuke | 10–13 | -0.05 | 30% | 25 Aug → | |
| inferno | 3–13 | -0.04 | 19% | 25 Aug → | |
| cache | 3–13 | -0.10 | 23% | 17 Aug → | |
| dust2 | 13–6 | -0.01 | 17% | 11 Aug → | |
| inferno | 13–11 | 0.06 | 31% | 7 Jul → | |
| nuke | 2–13 | -0.06 | 20% | 9 Jun → | |
| anubis | 4–13 | -0.02 | 8% | 2 Jun → | |
| inferno | 13–1 | 0.08 | 50% | 31 May → | |
| inferno | 13–9 | 0.02 | 17% | 15 May → | |
| nuke | 7–13 | -0.04 | 15% | 15 May → | |
| mirage | 9–13 | 0.04 | 11% | 8 May → | |
| anubis | 4–13 | -0.04 | 5% | 4 May → | |
| cache | 13–4 | 0.06 | 6% | 30 Apr → | |
| anubis | 11–13 | 0.02 | 15% | 23 Apr → | |
| inferno | 4–13 | -0.00 | 6% | 21 Apr → | |
| anubis | 13–16 | -0.02 | 5% | 21 Apr → | |
| overpass | 16–12 | 0.05 | 13% | 20 Apr → | |
| nuke | 13–9 | 0.05 | 42% | 20 Apr → | |
| inferno | 5–13 | -0.00 | 10% | 18 Apr → | |
| overpass | 11–13 | -0.01 | 12% | 17 Apr → | |
| office | 11–13 | 0.01 | 14% | 3 Apr → | |
| dust2 | 12–16 | -0.03 | 17% | 2 Apr → | |
| inferno | 13–8 | 0.11 | 21% | 1 Apr → | |
| nuke | 1–13 | -0.04 | 30% | 31 Mar → | |
| anubis | 10–13 | -0.05 | 9% | 29 Mar → | |
| inferno | 13–10 | -0.00 | 3% | 28 Mar → | |
| inferno | 13–3 | -0.05 | 21% | 28 Mar → | |
| overpass | 13–3 | 0.01 | 13% | 28 Mar → | |
| inferno | 16–14 | 0.00 | 29% | 27 Mar → | |
| nuke | 13–10 | 0.02 | 15% | 27 Mar → | |
| anubis | 5–13 | 0.01 | 8% | 26 Mar → | |
| overpass | 13–8 | 0.01 | 4% | 26 Mar → | |
| nuke | 13–10 | 0.03 | 9% | 25 Mar → | |
| anubis | 16–13 | -0.01 | 8% | 25 Mar → | |
| anubis | 9–13 | -0.04 | 6% | 25 Mar → | |
| inferno | 10–13 | 0.00 | 8% | 24 Mar → | |
| mirage | 16–13 | -0.00 | 13% | 23 Mar → | |
| inferno | 13–1 | 0.07 | 9% | 23 Mar → | |
| anubis | 6–13 | -0.04 | 13% | 23 Mar → | |
| inferno | 5–13 | -0.07 | 31% | 22 Mar → | |
| inferno | 13–2 | -0.05 | 0% | 22 Mar → | |
| inferno | 7–13 | -0.04 | 22% | 19 Mar → | |
| inferno | 13–8 | -0.01 | 15% | 18 Mar → | |
| anubis | 2–13 | -0.05 | 7% | 17 Mar → | |
| inferno | 12–12 | 0.03 | 6% | 16 Mar → | |
| inferno | 13–5 | -0.01 | 5% | 16 Mar → | |
| mirage | 13–10 | 0.06 | 8% | 15 Mar → | |
| anubis | 5–13 | -0.05 | 14% | 10 Mar → | |
| inferno | 11–13 | 0.01 | 15% | 1 Mar → | |
| overpass | 6–13 | -0.05 | 14% | 1 Mar → | |
| inferno | 13–8 | -0.03 | 20% | 26 Feb → | |
| inferno | 6–13 | -0.04 | 15% | 10 Feb → | |
| dust2 | 4–13 | -0.04 | 7% | 6 Feb → | |
| overpass | 13–5 | -0.03 | 12% | 4 Feb → | |
| inferno | 13–6 | -0.00 | 14% | 4 Feb → | |
| overpass | 6–13 | -0.04 | 14% | 3 Feb → | |
| nuke | 8–13 | -0.01 | 15% | 2 Feb → | |
| inferno | 13–4 | 0.11 | 30% | 1 Feb → | |
| inferno | 16–13 | -0.00 | 25% | 27 Jan → | |
| inferno | 13–11 | -0.00 | 6% | 13 Jan → | |
| inferno | 3–13 | -0.05 | 12% | 10 Jan → | |
| office | 13–9 | 0.14 | 6% | 2 Jan → | |
| office | 13–8 | -0.01 | 13% | 1 Jan → | |
| office | 13–10 | 0.04 | 18% | 23 Dec → | |
| inferno | 12–16 | 0.01 | 40% | 18 Dec → | |
| ancient | 4–13 | -0.03 | 22% | 18 Dec → | |
| inferno | 13–10 | 0.01 | 0% | 2 Dec → | |
| dust2 | 13–6 | 0.05 | 21% | 22 Nov → | |
| inferno | 13–9 | 0.01 | 12% | 6 Nov → | |
| inferno | 5–9 | 0.02 | 31% | 1 Nov → | |
| office | 9–13 | 0.04 | 7% | 31 Oct → | |
| inferno | 8–13 | 0.03 | 25% | 22 Oct → | |
| ancient | 11–13 | -0.01 | 19% | 17 Oct → | |
| train | 8–13 | -0.04 | 7% | 17 Oct → | |
| mirage | 13–9 | -0.01 | 8% | 16 Oct → | |
| inferno | 2–13 | 0.00 | 14% | 16 Oct → | |
| nuke | 1–13 | -0.04 | 29% | 14 Oct → | |
| overpass | 2–13 | -0.07 | 4% | 14 Oct → | |
| overpass | 9–13 | -0.07 | 10% | 12 Oct → |
Match data via Leetify.
Recent teammates
La Ming Ya Mao87 recent matches together
Goldfish <351 recent matches together
Barf Symtoms63 recent matches together
Käsiger Michelangelo39 recent matches together
Arbeitgeber20 recent matches together
Dinonuggets14 recent matches together
FüßeFascho8811 recent matches together
Feministne18 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.