dexter — CS2 Stats
PRO“spicybum”THUNDER dOWNUNDERAustraliaIGLSettings & gear profile →
AU76561198061801241[U:1:101535513]Steam profile ↗✓ No bans
What changed since last observed
CSDB last observed this profile on 25 Sep 2026 (18 days ago). Ranks are recorded once per day this page is viewed.
Rating over time
Faceit ELO
- At peak — 2,678
- 0 over 30 days · steady
- Next: 3,000 ELO at 3,000 — 322 to go
- Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
- 2,500 ELO first seen 2026-08-28
- Level 10 first seen 2026-08-28
Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.
Compare periods
Last 30 days vs previous 30
| Metric | Last 30 | Previous 30 | Change |
|---|---|---|---|
| Matches | 32 | — | — |
| Win rate | 63% | — | — |
| K/D | 0.80 | — | — |
| Headshot % | 75% | — | — |
Measured 16 Sep 2026 → 13 Oct 2026; no observation near 60 days ago, so there is no previous window yet.
Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: −40pp win rate · +0.02 avg rating · +5.5pp headshot accuracy · −90ms reaction
Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.
Last 5 · 10 · 20 matches
Last 5
- 3–2 · 60% win rate
- Avg rating 0.04
- Avg headshot accuracy 30%
- Avg reaction 511ms
Last 10
- 4–6 · 40% win rate
- Avg rating 0.01
- Avg headshot accuracy 29%
- Avg reaction 523ms
Last 20
- 12–8 · 60% win rate
- Avg rating -0.00
- Avg headshot accuracy 26%
- Avg reaction 568ms
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 (+1.4 against its own average).
Sharp aimerExcellent counter-strafing
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 device 87% playstyle similarity
Most alike: positioning profile, utility contribution.
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 90 — the mechanical foundation is a clear strength.
Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Reaction time. 591ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
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 8.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 28 | 16–12 | 57% | -0.01 |
 nuke | S | 16 | 14–2 | 88% | 0.01 |
 dust2 | A | 16 | 10–6 | 63% | 0.00 |
 anubis | S | 16 | 12–4 | 75% | -0.01 |
 ancient | B | 13 | 7–6 | 54% | -0.00 |
 cache | S | 6 | 5–1 | 83% | 0.08 |
 mirage | — | 2 | 0–2 | 0% | 0.01 |
 overpass | — | 2 | 0–2 | 0% | -0.06 |
| poseidon | — | 1 | 0–1 | 0% | 0.05 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (54% over 13). Start with the 6 essential Ancient 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 resultsLWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 74 | 59% | 1.46 | 20.9 |
| Ancient | 54 | 72% | 1.53 | 18.4 |
| Anubis | 45 | 64% | 1.39 | 18.2 |
| Dust2 | 42 | 74% | 1.31 | 16.7 |
| Inferno | 39 | 82% | 1.44 | 16.3 |
| Nuke | 32 | 78% | 1.22 | 16.7 |
| Vertigo | 17 | 59% | 1.39 | 17.5 |
| Overpass | 9 | 67% | 1.37 | 17.9 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Inventory
$32
$23
$10
$3
$3
$2Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 11–13 | -0.02 | 29% | 13 Oct → | |
| inferno | 5–13 | -0.03 | 29% | 13 Oct → | |
| inferno | 13–5 | 0.07 | 41% | 13 Oct → | |
| ancient | 13–6 | 0.03 | 20% | 13 Oct → | |
| nuke | 13–11 | 0.13 | 28% | 8 Oct → | |
| inferno | 4–9 | -0.10 | 16% | 5 Oct → | |
| inferno | 4–9 | 0.01 | 38% | 5 Oct → | |
| dust2 | 13–9 | 0.06 | 35% | 5 Oct → | |
| dust2 | 9–13 | -0.06 | 11% | 29 Sept → | |
| inferno | 4–13 | -0.05 | 43% | 29 Sept → | |
| inferno | 13–8 | 0.01 | 21% | 28 Sept → | |
| dust2 | 13–9 | -0.05 | 12% | 28 Sept → | |
| inferno | 2–13 | -0.05 | 33% | 27 Sept → | |
| ancient | 4–13 | 0.05 | 26% | 27 Sept → | |
| cache | 16–13 | 0.08 | 36% | 25 Sept → | |
| ancient | 13–4 | -0.03 | 20% | 25 Sept → | |
| dust2 | 13–3 | -0.04 | 25% | 25 Sept → | |
| ancient | 13–4 | -0.03 | 20% | 25 Sept → | |
| dust2 | 13–3 | -0.04 | 25% | 25 Sept → | |
| inferno | 13–7 | -0.01 | 17% | 23 Sept → | |
| nuke | 13–7 | -0.05 | 19% | 23 Sept → | |
| nuke | 13–7 | -0.05 | 19% | 23 Sept → | |
| inferno | 13–7 | -0.01 | 17% | 23 Sept → | |
| mirage | 14–16 | -0.01 | 18% | 18 Aug → | |
| dust2 | 13–2 | 0.16 | 26% | 17 Aug → | |
| dust2 | 13–5 | 0.14 | 25% | 17 Aug → | |
| dust2 | 8–13 | 0.00 | 0% | 13 Aug → | |
| dust2 | 1–13 | -0.08 | 44% | 4 Aug → | |
| cache | 6–13 | -0.06 | 33% | 4 Aug → | |
| anubis | 13–4 | -0.02 | 13% | 17 Jul → | |
| nuke | 13–0 | 0.05 | 33% | 17 Jul → | |
| inferno | 13–5 | 0.04 | 23% | 17 Jul → | |
| cache | 13–6 | 0.11 | 31% | 14 Jul → | |
| cache | 13–8 | 0.17 | 23% | 9 Jul → | |
| nuke | 13–2 | 0.02 | 33% | 3 Jul → | |
| mirage | 14–16 | 0.02 | 23% | 3 Jul → | |
| cache | 13–1 | 0.05 | 27% | 4 Jun → | |
| cache | 13–4 | 0.12 | 22% | 4 Jun → | |
| poseidon | 4–9 | 0.05 | 41% | 4 Jun → | |
| inferno | 3–13 | -0.09 | 26% | 4 Jun → | |
| anubis | 10–13 | -0.03 | 10% | 4 Jun → | |
| inferno | 7–13 | -0.03 | 21% | 3 Jun → | |
| dust2 | 11–13 | -0.00 | 23% | 2 Jun → | |
| inferno | 13–6 | -0.00 | 23% | 2 Jun → | |
| nuke | 10–13 | -0.02 | 22% | 27 May → | |
| inferno | 5–13 | -0.05 | 16% | 16 May → | |
| nuke | 10–13 | -0.07 | 29% | 16 May → | |
| dust2 | 13–9 | 0.00 | 18% | 16 May → | |
| anubis | 13–5 | -0.08 | 16% | 14 May → | |
| inferno | 16–12 | -0.03 | 18% | 14 May → | |
| ancient | 13–16 | -0.09 | 23% | 14 May → | |
| nuke | 13–6 | 0.02 | 19% | 13 May → | |
| anubis | 13–5 | 0.04 | 21% | 13 May → | |
| dust2 | 17–19 | 0.01 | 17% | 13 May → | |
| inferno | 13–4 | -0.01 | 30% | 13 May → | |
| nuke | 16–13 | -0.02 | 24% | 13 May → | |
| dust2 | 13–8 | 0.00 | 29% | 12 May → | |
| anubis | 13–7 | 0.00 | 29% | 12 May → | |
| anubis | 10–13 | -0.04 | 18% | 11 May → | |
| dust2 | 10–13 | -0.03 | 27% | 11 May → | |
| anubis | 13–5 | 0.05 | 22% | 3 May → | |
| dust2 | 13–7 | -0.01 | 29% | 3 May → | |
| nuke | 13–2 | 0.00 | 23% | 1 May → | |
| anubis | 13–5 | 0.07 | 28% | 1 May → | |
| anubis | 13–7 | -0.04 | 23% | 29 Apr → | |
| inferno | 13–10 | -0.05 | 21% | 29 Apr → | |
| overpass | 11–13 | -0.02 | 13% | 29 Apr → | |
| ancient | 13–5 | 0.05 | 30% | 27 Apr → | |
| anubis | 13–3 | -0.02 | 14% | 27 Apr → | |
| ancient | 13–6 | 0.11 | 23% | 21 Apr → | |
| inferno | 16–13 | -0.02 | 11% | 17 Mar → | |
| ancient | 13–10 | -0.01 | 14% | 17 Mar → | |
| anubis | 13–9 | -0.01 | 24% | 17 Mar → | |
| ancient | 13–6 | -0.05 | 28% | 17 Mar → | |
| inferno | 11–13 | -0.04 | 17% | 17 Mar → | |
| nuke | 13–7 | 0.04 | 23% | 17 Mar → | |
| inferno | 7–13 | -0.06 | 7% | 16 Mar → | |
| anubis | 13–11 | -0.00 | 33% | 16 Mar → | |
| nuke | 13–11 | -0.01 | 19% | 16 Mar → | |
| inferno | 13–2 | -0.02 | 16% | 16 Mar → | |
| ancient | 16–19 | 0.01 | 19% | 15 Mar → | |
| anubis | 13–6 | -0.09 | 29% | 15 Mar → | |
| inferno | 13–7 | 0.04 | 19% | 15 Mar → | |
| nuke | 7–6 | -0.04 | 33% | 15 Mar → | |
| nuke | 15–14 | 0.05 | 34% | 15 Mar → | |
| anubis | 16–19 | -0.02 | 15% | 15 Mar → | |
| inferno | 13–4 | -0.02 | 30% | 15 Mar → | |
| inferno | 11–13 | 0.06 | 19% | 14 Mar → | |
| ancient | 11–13 | -0.02 | 44% | 14 Mar → | |
| anubis | 13–10 | 0.01 | 30% | 14 Mar → | |
| inferno | 13–5 | 0.04 | 17% | 14 Mar → | |
| nuke | 13–4 | 0.05 | 20% | 12 Mar → | |
| dust2 | 13–8 | 0.01 | 28% | 12 Mar → | |
| inferno | 8–13 | -0.05 | 16% | 12 Mar → | |
| nuke | 13–6 | 0.00 | 16% | 12 Mar → | |
| inferno | 13–3 | 0.02 | 22% | 12 Mar → | |
| overpass | 4–13 | -0.09 | 8% | 1 Mar → | |
| inferno | 13–2 | 0.07 | 18% | 1 Mar → | |
| anubis | 6–13 | -0.04 | 16% | 28 Feb → | |
| ancient | 11–13 | 0.00 | 40% | 28 Feb → |
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.