mahhe — CS2 Stats
DK76561198117609229[U:1:157343501]Steam profile ↗1 game ban
What changed since last observed
CSDB last observed this profile on 2 Oct 2026 (35 days ago). Ranks are recorded once per day this page is viewed.
No change since then — still 611 tracked matches. Play, then come back: the next observation lands here.
Rating over time
Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.
Compare periods
Last 30 days vs previous 30
| Metric | Last 30 | Previous 30 | Change |
|---|---|---|---|
| Matches | 1 | — | — |
| Win rate | 100% | — | — |
| K/D | 1.13 | — | — |
| Headshot % | 67% | — | — |
Measured 2 Oct 2026 → 6 Nov 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.
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: +40pp win rate · +0.05 avg rating · −7.9pp headshot accuracy · +9ms reaction
Win rate up 40pp 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
- 4–1 · 80% win rate
- Avg rating 0.07
- Avg headshot accuracy 33%
- Avg reaction 592ms
Last 10
- 7–2–1 · 70% win rate
- Avg rating 0.06
- Avg headshot accuracy 36%
- Avg reaction 628ms
Last 20
- 10–7–3 · 50% win rate
- Avg rating 0.03
- Avg headshot accuracy 40%
- Avg reaction 624ms
Newest first, from the last 40 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 against its own average).
Effective 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 m0NESY 86% playstyle similarity
Most alike: utility contribution, opening-duel success.
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
Flashes. 0.76 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 635ms 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 7.1/10 (Strong), 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 40 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Personal bests
Across the last 40 tracked matches.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 mirage | S | 12 | 8–4 | 67% | 0.04 |
 ancient | S | 6 | 5–1 | 83% | 0.04 |
 nuke | — | 3 | 2–1 | 67% | 0.04 |
| grail | — | 3 | 1–2 | 33% | 0.01 |
 dust2 | — | 3 | 1–2 | 33% | 0.00 |
 inferno | — | 2 | 0–2 | 0% | 0.02 |
| jura | — | 2 | 0–2 | 0% | 0.06 |
 anubis | — | 2 | 2–0 | 100% | 0.05 |
 train | — | 2 | 1–1 | 50% | 0.01 |
| cbble_rbcs | — | 1 | 1–0 | 100% | 0.06 |
 vertigo | — | 1 | 0–1 | 0% | -0.04 |
| basalt | — | 1 | 0–1 | 0% | 0.01 |
| italy | — | 1 | 0–1 | 0% | 0.02 |
| aztec_rbcs | — | 1 | 1–0 | 100% | 0.03 |
Across the last 40 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (67% over 12). Start with the 5 essential Mirage 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 resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 38 | 74% | 1.31 | 18.9 |
| Ancient | 33 | 52% | 1.14 | 17.8 |
| Anubis | 25 | 44% | 1.12 | 17.8 |
| Nuke | 18 | 72% | 1.37 | 15.9 |
| Red Bull ClassiCS - Train | 13 | 69% | 1.12 | 13.0 |
| Red Bull ClassiCS - Cobblestone | 11 | 100% | 1.85 | 15.4 |
| Dust2 | 9 | 56% | 1.22 | 20.9 |
| Red Bull ClassiCS - Dust | 7 | 100% | 1.17 | 14.3 |
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.6592° — above the 12° mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 13–6 | 0.04 | 36% | 21 May → | |
| mirage | 13–6 | 0.07 | 33% | 21 May → | |
| inferno | 8–13 | 0.03 | 32% | 10 May → | |
| mirage | 13–4 | 0.05 | 27% | 6 Apr → | |
| mirage | 13–6 | 0.17 | 39% | 14 Sept → | |
| jura | 12–12 | 0.04 | 34% | 30 Jul → | |
| inferno | 2–9 | 0.02 | 33% | 23 Jul → | |
| anubis | 13–1 | 0.05 | 48% | 25 Jun → | |
| anubis | 13–3 | 0.05 | 41% | 25 Jun → | |
| grail | 13–6 | 0.05 | 31% | 2 Jun → | |
| cbble_rbcs | 13–2 | 0.06 | 44% | 1 Jun → | |
| mirage | 0–2 | -0.06 | 100% | 17 May → | |
| jura | 0–3 | 0.08 | 67% | 10 May → | |
| grail | 9–13 | -0.02 | 37% | 8 May → | |
| grail | 12–12 | -0.00 | 44% | 8 May → | |
| vertigo | 6–13 | -0.04 | 27% | 30 Apr → | |
| mirage | 11–13 | -0.05 | 20% | 30 Apr → | |
| ancient | 13–2 | 0.05 | 27% | 30 Apr → | |
| train | 13–11 | -0.00 | 36% | 29 Apr → | |
| train | 12–12 | 0.03 | 32% | 22 Apr → | |
| mirage | 13–6 | 0.07 | 35% | 20 Apr → | |
| mirage | 13–6 | -0.01 | 35% | 11 Apr → | |
| basalt | 12–12 | 0.01 | 28% | 7 Apr → | |
| italy | 12–12 | 0.02 | 26% | 7 Apr → | |
| ancient | 12–12 | 0.01 | 32% | 7 Apr → | |
| nuke | 12–12 | 0.03 | 31% | 5 Apr → | |
| ancient | 13–9 | 0.02 | 36% | 5 Apr → | |
| mirage | 13–11 | -0.05 | 36% | 20 Mar → | |
| ancient | 11–5 | 0.07 | 31% | 9 Mar → | |
| mirage | 13–4 | 0.10 | 36% | 9 Mar → | |
| mirage | 13–3 | 0.11 | 50% | 7 Mar → | |
| dust2 | 10–13 | 0.02 | 33% | 5 Mar → | |
| dust2 | 9–13 | 0.03 | 45% | 4 Mar → | |
| aztec_rbcs | 13–10 | 0.03 | 27% | 2 Mar → | |
| ancient | 13–10 | 0.10 | 31% | 13 Feb → | |
| nuke | 13–9 | 0.04 | 32% | 12 Feb → | |
| mirage | 15–15 | 0.05 | 52% | 12 Feb → | |
| dust2 | 13–4 | -0.04 | 27% | 12 Feb → | |
| ancient | 13–8 | -0.00 | 32% | 9 Feb → | |
| mirage | 5–13 | 0.01 | 44% | 7 Jan → |
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.