slide — CS2 Stats
76561198937279350[U:1:977013622]Steam profile ↗✓ No bans
What changed since last observed
CSDB last observed this profile on 20 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.
CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 39 days played since 6 Mar 2026. Come back after the next session and the change shows above.
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Rating over time
Faceit ELO
- At peak — 2,895
- Next: 3,000 ELO at 3,000 — 105 to go
- Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
- 2,500 ELO first seen 2026-08-29
- Level 10 first seen 2026-08-29
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 | 29 | — | — |
| Win rate | 59% | — | — |
| K/D | 1.14 | — | — |
| Headshot % | 67% | — | — |
Measured 29 Aug 2026 → 23 Sep 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: +10pp win rate · −0.02 avg rating · +5.7pp headshot accuracy · −14ms 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
- 4–1 · 80% win rate
- Avg rating 0.03
- Avg headshot accuracy 38%
- Avg reaction 538ms
Last 10
- 6–4 · 60% win rate
- Avg rating 0.02
- Avg headshot accuracy 38%
- Avg reaction 565ms
Last 20
- 11–9 · 55% win rate
- Avg rating 0.03
- Avg headshot accuracy 35%
- Avg reaction 572ms
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 (+1.6 against its own average).
Sharp aimerExcellent counter-strafingLimited 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 ropz 89% playstyle similarity
Most alike: utility contribution, aim profile.
Where you differ: lower opening-duel success.
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 92 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 33 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.
Reaction time. 571ms 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 6.9/10 (Solid), 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 |
|---|---|---|---|---|---|
 mirage | A | 28 | 16–12 | 57% | 0.02 |
 dust2 | S | 21 | 14–7 | 67% | 0.04 |
 cache | S | 11 | 9–2 | 82% | 0.06 |
 vertigo | C | 9 | 4–5 | 44% | 0.01 |
 anubis | A | 8 | 5–3 | 63% | 0.02 |
 train | D | 7 | 2–5 | 29% | 0.02 |
| office | B | 6 | 3–3 | 50% | -0.01 |
 inferno | — | 4 | 4–0 | 100% | 0.16 |
 ancient | — | 3 | 0–3 | 0% | -0.02 |
 nuke | — | 2 | 1–1 | 50% | 0.05 |
 overpass | — | 1 | 0–1 | 0% | -0.11 |
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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 250 | 52% | 1.12 | 17.6 |
| Ancient | 178 | 51% | 1.09 | 16.4 |
| Anubis | 108 | 57% | 1.05 | 15.9 |
| Dust2 | 70 | 50% | 1.08 | 16.8 |
| Overpass | 59 | 68% | 1.13 | 17.0 |
| Nuke | 46 | 48% | 1.12 | 16.9 |
| Inferno | 19 | 32% | 0.85 | 12.8 |
| Train | 10 | 70% | 0.99 | 15.3 |
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.
- 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 0.4579 — 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 38.8238% — 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.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 13–1 | 0.03 | 31% | 23 Sept → | |
| mirage | 4–13 | -0.05 | 33% | 23 Sept → | |
| mirage | 13–7 | 0.07 | 38% | 23 Sept → | |
| dust2 | 13–6 | 0.00 | 52% | 22 Sept → | |
| inferno | 13–8 | 0.08 | 38% | 3 Sept → | |
| mirage | 7–13 | 0.01 | 33% | 3 Sept → | |
| cache | 13–8 | 0.06 | 56% | 3 Sept → | |
| dust2 | 13–3 | 0.07 | 39% | 3 Sept → | |
| cache | 2–13 | -0.09 | 37% | 30 Aug → | |
| mirage | 9–13 | -0.01 | 20% | 30 Aug → | |
| dust2 | 13–5 | 0.07 | 28% | 30 Aug → | |
| ancient | 10–13 | 0.02 | 42% | 30 Aug → | |
| cache | 13–11 | 0.10 | 42% | 30 Aug → | |
| dust2 | 13–6 | 0.08 | 27% | 30 Aug → | |
| mirage | 13–7 | 0.03 | 37% | 30 Aug → | |
| dust2 | 13–5 | -0.02 | 37% | 30 Aug → | |
| vertigo | 6–13 | 0.03 | 34% | 30 Aug → | |
| mirage | 11–13 | 0.07 | 30% | 30 Aug → | |
| dust2 | 9–13 | 0.08 | 20% | 23 Aug → | |
| dust2 | 3–13 | -0.06 | 24% | 23 Aug → | |
| ancient | 9–13 | -0.04 | 25% | 23 Aug → | |
| mirage | 13–10 | -0.01 | 25% | 23 Aug → | |
| dust2 | 13–4 | 0.12 | 31% | 23 Aug → | |
| mirage | 11–13 | -0.01 | 29% | 23 Aug → | |
| vertigo | 11–13 | -0.00 | 31% | 23 Aug → | |
| vertigo | 13–9 | 0.06 | 31% | 22 Aug → | |
| anubis | 2–13 | -0.01 | 48% | 22 Aug → | |
| mirage | 10–13 | 0.02 | 25% | 22 Aug → | |
| dust2 | 13–4 | 0.04 | 38% | 22 Aug → | |
| vertigo | 13–10 | -0.01 | 44% | 22 Aug → | |
| cache | 13–4 | 0.12 | 44% | 22 Aug → | |
| overpass | 4–9 | -0.11 | 27% | 14 Aug → | |
| vertigo | 9–5 | 0.10 | 47% | 14 Aug → | |
| train | 7–13 | -0.00 | 53% | 14 Aug → | |
| train | 13–9 | 0.07 | 50% | 14 Aug → | |
| vertigo | 1–9 | -0.10 | 63% | 9 Aug → | |
| office | 13–7 | 0.12 | 47% | 9 Aug → | |
| dust2 | 13–9 | 0.06 | 36% | 9 Aug → | |
| nuke | 4–13 | -0.02 | 35% | 3 Aug → | |
| mirage | 8–13 | 0.02 | 30% | 3 Aug → | |
| cache | 13–7 | 0.12 | 60% | 29 Jul → | |
| mirage | 13–5 | 0.16 | 50% | 29 Jul → | |
| vertigo | 4–13 | 0.00 | 20% | 29 Jul → | |
| mirage | 3–13 | -0.03 | 58% | 23 Jul → | |
| dust2 | 13–8 | -0.02 | 43% | 22 Jul → | |
| dust2 | 13–10 | 0.05 | 50% | 22 Jul → | |
| mirage | 13–9 | 0.06 | 39% | 22 Jul → | |
| inferno | 9–1 | 0.33 | 50% | 27 May → | |
| anubis | 13–4 | 0.04 | 33% | 27 May → | |
| dust2 | 4–13 | 0.00 | 45% | 21 May → | |
| office | 6–13 | -0.08 | 38% | 21 May → | |
| mirage | 13–7 | -0.02 | 35% | 21 May → | |
| mirage | 16–14 | 0.03 | 30% | 15 May → | |
| mirage | 13–9 | 0.14 | 41% | 14 May → | |
| cache | 13–3 | 0.15 | 37% | 14 May → | |
| office | 9–13 | 0.00 | 59% | 13 May → | |
| office | 9–13 | -0.01 | 30% | 13 May → | |
| cache | 12–12 | -0.01 | 38% | 11 May → | |
| cache | 13–11 | 0.02 | 30% | 11 May → | |
| cache | 13–8 | 0.04 | 48% | 30 Apr → | |
| cache | 13–9 | 0.05 | 33% | 29 Apr → | |
| cache | 13–1 | 0.09 | 35% | 29 Apr → | |
| anubis | 8–13 | -0.01 | 14% | 25 Apr → | |
| train | 13–3 | 0.06 | 47% | 25 Apr → | |
| train | 9–13 | 0.04 | 41% | 24 Apr → | |
| train | 4–13 | -0.06 | 33% | 24 Apr → | |
| train | 9–13 | 0.02 | 26% | 24 Apr → | |
| vertigo | 13–7 | 0.09 | 26% | 16 Apr → | |
| inferno | 13–9 | 0.13 | 30% | 16 Apr → | |
| mirage | 13–4 | -0.07 | 14% | 16 Apr → | |
| mirage | 13–9 | 0.03 | 33% | 15 Apr → | |
| inferno | 13–0 | 0.09 | 25% | 15 Apr → | |
| anubis | 16–13 | -0.03 | 26% | 10 Apr → | |
| dust2 | 13–10 | 0.05 | 34% | 10 Apr → | |
| mirage | 9–13 | 0.04 | 30% | 10 Apr → | |
| mirage | 3–13 | -0.07 | 15% | 4 Apr → | |
| mirage | 13–10 | -0.01 | 29% | 4 Apr → | |
| dust2 | 10–13 | 0.02 | 29% | 4 Apr → | |
| ancient | 5–13 | -0.05 | 38% | 3 Apr → | |
| anubis | 13–10 | 0.05 | 31% | 2 Apr → | |
| anubis | 13–4 | 0.16 | 24% | 2 Apr → | |
| mirage | 13–0 | 0.06 | 30% | 31 Mar → | |
| dust2 | 13–7 | 0.13 | 39% | 31 Mar → | |
| mirage | 13–11 | -0.00 | 34% | 26 Mar → | |
| dust2 | 8–13 | 0.08 | 35% | 25 Mar → | |
| office | 13–7 | -0.03 | 25% | 25 Mar → | |
| office | 13–5 | -0.06 | 31% | 24 Mar → | |
| anubis | 2–13 | -0.01 | 35% | 24 Mar → | |
| dust2 | 0–13 | 0.07 | 23% | 23 Mar → | |
| mirage | 13–3 | 0.13 | 37% | 23 Mar → | |
| dust2 | 13–4 | -0.01 | 33% | 23 Mar → | |
| dust2 | 8–13 | 0.01 | 35% | 16 Mar → | |
| mirage | 9–13 | -0.02 | 26% | 15 Mar → | |
| nuke | 13–9 | 0.12 | 31% | 15 Mar → | |
| train | 8–13 | 0.02 | 43% | 14 Mar → | |
| vertigo | 8–13 | -0.04 | 30% | 12 Mar → | |
| mirage | 10–13 | 0.00 | 30% | 12 Mar → | |
| anubis | 16–12 | 0.00 | 48% | 12 Mar → | |
| mirage | 13–9 | -0.03 | 28% | 11 Mar → | |
| dust2 | 13–9 | 0.03 | 23% | 6 Mar → |
Match data via Leetify.
