dav1g — CS2 Stats
PROGentle MatesSpainRiflerSettings & gear profile →
76561198417348056[U:1:457082328]Steam profile ↗
Rating over time
Faceit ELO
- At peak — 4,098
- Reached: 4,000 ELO · 3,500 ELO · 3,000 ELO · 2,500 ELO
- 4,000 ELO first seen 2026-08-28
- 3,500 ELO first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.05 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong 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.
Your pro match

Plays most like iM 96% playstyle similarity
Most alike: positioning profile, aim profile.
Where you differ: higher opening-fight frequency.
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 87 — the mechanical foundation is a clear strength.
CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.5° off target when enemies appear — placement, not flicking, is the bigger win available.
T-side openings. Opening success drops from 67% on CT to 32% 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 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| B | 23 | 12–11 | 52% | -0.01 | |
| B | 20 | 10–10 | 50% | -0.01 | |
| B | 20 | 9–11 | 45% | -0.03 | |
| S | 19 | 13–6 | 68% | 0.01 | |
| A | 8 | 5–3 | 63% | 0.01 | |
| D | 5 | 1–4 | 20% | -0.05 | |
| D | 5 | 1–4 | 20% | -0.03 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 517 | 63% | 1.22 | 16.9 |
| Mirage | 305 | 56% | 1.24 | 17.0 |
| Anubis | 283 | 60% | 1.20 | 16.7 |
| Nuke | 210 | 66% | 1.26 | 16.5 |
| Inferno | 143 | 73% | 1.39 | 16.4 |
| Dust2 | 67 | 51% | 1.16 | 16.3 |
| Overpass | 64 | 58% | 1.25 | 17.6 |
| Vertigo | 59 | 54% | 1.14 | 15.8 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Inventory
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 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 32.1563% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 22–19 | 0.01 | 13% | 26 Aug → | ||
| 13–6 | 0.02 | 15% | 9 Aug → | ||
| 7–13 | -0.04 | 27% | 9 Aug → | ||
| 11–13 | 0.05 | 20% | 9 Aug → | ||
| 13–6 | 0.07 | 13% | 8 Aug → | ||
| 13–9 | 0.10 | 17% | 8 Aug → | ||
| 11–13 | -0.02 | 13% | 8 Aug → | ||
| 13–0 | 0.07 | 29% | 7 Aug → | ||
| 13–0 | 0.10 | 26% | 7 Aug → | ||
| 10–13 | -0.03 | 17% | 7 Aug → | ||
| 13–8 | 0.04 | 16% | 7 Aug → | ||
| 8–13 | -0.05 | 17% | 7 Aug → | ||
| 13–6 | 0.00 | 17% | 1 Aug → | ||
| 11–13 | -0.07 | 18% | 25 Jul → | ||
| 7–13 | -0.06 | 16% | 25 Jul → | ||
| 13–7 | -0.06 | 13% | 24 Jul → | ||
| 13–3 | 0.04 | 24% | 24 Jul → | ||
| 11–13 | -0.04 | 18% | 23 Jul → | ||
| 6–13 | -0.02 | 24% | 23 Jul → | ||
| 13–5 | 0.06 | 20% | 22 Jul → | ||
| 17–19 | -0.02 | 16% | 21 Jul → | ||
| 4–13 | -0.05 | 10% | 21 Jul → | ||
| 8–13 | -0.00 | 15% | 21 Jul → | ||
| 13–4 | -0.06 | 3% | 21 Jul → | ||
| 13–7 | -0.04 | 10% | 21 Jul → | ||
| 2–13 | -0.04 | 32% | 17 Jul → | ||
| 7–13 | -0.06 | 10% | 17 Jul → | ||
| 9–13 | -0.03 | 26% | 16 Jul → | ||
| 6–13 | -0.06 | 23% | 16 Jul → | ||
| 13–9 | -0.02 | 19% | 15 Jul → | ||
| 13–10 | 0.05 | 19% | 15 Jul → | ||
| 6–13 | -0.08 | 31% | 20 Jun → | ||
| 25–21 | -0.01 | 9% | 20 Jun → | ||
| 8–13 | 0.00 | 30% | 20 Jun → | ||
| 16–14 | -0.01 | 12% | 18 Jun → | ||
| 13–9 | 0.01 | 16% | 18 Jun → | ||
| 11–13 | 0.01 | 17% | 16 Jun → | ||
| 11–13 | -0.05 | 24% | 16 Jun → | ||
| 13–6 | -0.02 | 16% | 15 Jun → | ||
| 9–13 | -0.02 | 23% | 15 Jun → | ||
| 13–9 | -0.02 | 21% | 15 Jun → | ||
| 6–13 | -0.03 | 16% | 31 May → | ||
| 8–13 | 0.03 | 28% | 31 May → | ||
| 13–9 | 0.06 | 12% | 30 May → | ||
| 13–6 | 0.06 | 15% | 30 May → | ||
| 13–7 | 0.03 | 20% | 30 May → | ||
| 4–13 | -0.06 | 16% | 30 May → | ||
| 34–32 | 0.00 | 19% | 30 May → | ||
| 13–8 | 0.03 | 16% | 30 May → | ||
| 13–9 | 0.04 | 19% | 29 May → | ||
| 10–13 | -0.08 | 13% | 28 May → | ||
| 13–7 | -0.00 | 13% | 28 May → | ||
| 13–10 | -0.00 | 14% | 27 May → | ||
| 5–13 | -0.03 | 28% | 13 May → | ||
| 13–16 | -0.01 | 12% | 13 May → | ||
| 11–13 | -0.10 | 13% | 12 May → | ||
| 13–10 | -0.03 | 18% | 12 May → | ||
| 13–4 | -0.04 | 9% | 11 May → | ||
| 13–6 | -0.00 | 11% | 11 May → | ||
| 9–13 | -0.06 | 5% | 10 May → | ||
| 13–9 | -0.03 | 18% | 10 May → | ||
| 5–13 | -0.01 | 20% | 9 May → | ||
| 12–16 | 0.01 | 12% | 9 May → | ||
| 13–4 | 0.09 | 22% | 9 May → | ||
| 16–19 | -0.05 | 23% | 3 May → | ||
| 19–22 | -0.01 | 23% | 3 May → | ||
| 13–11 | -0.02 | 14% | 2 May → | ||
| 13–8 | -0.01 | 27% | 2 May → | ||
| 13–2 | -0.01 | 13% | 29 Apr → | ||
| 16–13 | -0.01 | 22% | 29 Apr → | ||
| 19–17 | -0.02 | 27% | 26 Apr → | ||
| 10–13 | 0.00 | 14% | 26 Apr → | ||
| 11–13 | -0.00 | 26% | 26 Apr → | ||
| 13–5 | 0.01 | 13% | 26 Apr → | ||
| 13–6 | 0.06 | 19% | 26 Apr → | ||
| 13–11 | 0.03 | 24% | 25 Apr → | ||
| 13–7 | -0.01 | 15% | 25 Apr → | ||
| 5–13 | -0.10 | 6% | 21 Apr → | ||
| 10–13 | -0.01 | 16% | 14 Apr → | ||
| 13–4 | 0.05 | 15% | 14 Apr → | ||
| 9–13 | 0.01 | 26% | 14 Apr → | ||
| 13–8 | 0.04 | 17% | 13 Apr → | ||
| 8–10 | -0.06 | 17% | 13 Apr → | ||
| 3–13 | 0.00 | 23% | 13 Apr → | ||
| 9–13 | -0.04 | 13% | 2 Apr → | ||
| 4–13 | -0.10 | 14% | 2 Apr → | ||
| 13–9 | -0.05 | 10% | 2 Apr → | ||
| 5–13 | -0.06 | 11% | 1 Apr → | ||
| 13–7 | -0.05 | 22% | 1 Apr → | ||
| 10–13 | -0.05 | 14% | 25 Mar → | ||
| 8–13 | -0.06 | 21% | 25 Mar → | ||
| 13–9 | -0.03 | 13% | 25 Mar → | ||
| 13–6 | 0.01 | 15% | 25 Mar → | ||
| 13–16 | -0.02 | 11% | 25 Mar → | ||
| 10–13 | -0.00 | 10% | 19 Mar → | ||
| 13–9 | -0.03 | 19% | 13 Mar → | ||
| 13–4 | 0.01 | 20% | 10 Mar → | ||
| 13–11 | 0.11 | 25% | 8 Mar → | ||
| 11–13 | 0.02 | 11% | 8 Mar → | ||
| 4–13 | -0.12 | 9% | 27 Feb → |
Match data via Leetify.