LatinaGetter12 — CS2 Stats
76561199468940212[U:1:1508674484]Steam profile ↗
Rating over time
Faceit ELO
- At peak — 769
- Next: Level 4 at 901 — 132 to go
- Reached: Level 3 · Level 2
- Level 3 first seen 2026-08-28
- Level 2 first seen 2026-08-28
Premier CS Rating
- At peak — 17,219
- Next: Pink band at 20,000 — 2,781 to go
- Reached: Purple band · Blue band · Light Blue band
- Purple band first seen 2026-08-28
- Blue band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
How this compares with the same rank
Median values for Level 6 among CSDB-tracked players (n=862), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 6 median | Level 7 median | vs Level 7 |
|---|---|---|---|---|
| Headshot rate | 33.4% | 44.9% | 46.2% | 12.9% short |
| Shot accuracy | 0.0% | 11.8% | 12.5% | 12.5% short |
| Kill/death ratio | 0.88 | 1.04 | 1.06 | 0.18 short |
| Match win rate | 40.8% | 45.3% | 45.9% | 5.0% short |
This profile sits below the typical Level 7 player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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: +20pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent 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.
Your pro match

Plays most like b1t 86% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower 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
Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 598ms 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 5.7/10 (Solid), 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.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| C | 26 | 10–16 | 38% | -0.02 | |
| D | 24 | 7–17 | 29% | 0.01 | |
| C | 24 | 9–15 | 38% | 0.00 | |
| C | 8 | 3–5 | 38% | -0.01 | |
| D | 6 | 1–5 | 17% | -0.03 | |
| A | 5 | 3–2 | 60% | -0.01 | |
| — | 4 | 2–2 | 50% | 0.01 | |
| — | 3 | 1–2 | 33% | -0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno 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 resultsWWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 42 | 48% | 1.10 | 16.8 |
| Nuke | 36 | 61% | 1.37 | 18.3 |
| Mirage | 28 | 54% | 1.30 | 19.5 |
| Anubis | 11 | 73% | 1.24 | 15.1 |
| Cache | 6 | 50% | 1.33 | 18.3 |
| Ancient | 5 | 80% | 1.28 | 19.6 |
| Overpass | 3 | 67% | 1.25 | 18.0 |
| Vertigo | 1 | 0% | 1.00 | 15.0 |
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.2566% — below the 15% mark we flag
- 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 0.4771 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.03 | 15% | 29 Aug → | ||
| 13–8 | 0.02 | 26% | 28 Aug → | ||
| 1–10 | -0.02 | 9% | 24 Aug → | ||
| 4–13 | -0.01 | 13% | 21 Aug → | ||
| 13–2 | -0.02 | 16% | 20 Aug → | ||
| 3–13 | -0.02 | 19% | 19 Aug → | ||
| 3–13 | -0.00 | 10% | 15 Aug → | ||
| 13–11 | -0.06 | 10% | 15 Aug → | ||
| 7–13 | -0.07 | 25% | 12 Aug → | ||
| 13–11 | 0.05 | 7% | 9 Aug → | ||
| 19–16 | -0.02 | 14% | 8 Aug → | ||
| 8–13 | 0.09 | 22% | 8 Aug → | ||
| 13–16 | -0.03 | 5% | 8 Aug → | ||
| 11–13 | -0.06 | 11% | 7 Aug → | ||
| 13–9 | -0.02 | 14% | 7 Aug → | ||
| 13–9 | -0.05 | 7% | 7 Aug → | ||
| 11–13 | 0.00 | 8% | 7 Aug → | ||
| 10–13 | 0.04 | 9% | 30 Jul → | ||
| 2–10 | 0.02 | 26% | 29 Jul → | ||
| 15–15 | 0.10 | 18% | 29 Jul → | ||
| 5–13 | 0.01 | 14% | 28 Jul → | ||
| 7–13 | -0.01 | 16% | 27 Jul → | ||
| 15–15 | 0.08 | 15% | 26 Jul → | ||
| 3–13 | -0.07 | 17% | 26 Jul → | ||
| 7–13 | -0.03 | 12% | 26 Jul → | ||
| 13–9 | -0.02 | 15% | 26 Jul → | ||
| 15–15 | 0.02 | 11% | 26 Jul → | ||
| 13–11 | 0.01 | 14% | 26 Jul → | ||
| 13–5 | 0.07 | 4% | 25 Jul → | ||
| 11–13 | -0.03 | 5% | 25 Jul → | ||
| 13–3 | 0.02 | 13% | 25 Jul → | ||
| 16–12 | -0.03 | 11% | 25 Jul → | ||
| 8–13 | 0.02 | 10% | 25 Jul → | ||
| 10–13 | 0.03 | 7% | 25 Jul → | ||
| 11–13 | 0.04 | 16% | 25 Jul → | ||
| 7–13 | -0.02 | 4% | 25 Jul → | ||
| 4–13 | -0.06 | 19% | 24 Jul → | ||
| 13–11 | 0.05 | 10% | 24 Jul → | ||
| 7–13 | 0.03 | 12% | 24 Jul → | ||
| 7–13 | -0.01 | 19% | 24 Jul → | ||
| 6–13 | 0.05 | 18% | 23 Jul → | ||
| 15–15 | 0.08 | 10% | 23 Jul → | ||
| 9–13 | 0.06 | 19% | 23 Jul → | ||
| 13–9 | 0.02 | 11% | 21 Jul → | ||
| 9–13 | -0.06 | 11% | 20 Jul → | ||
| 7–13 | -0.01 | 9% | 13 Jul → | ||
| 1–13 | -0.08 | 21% | 12 Jul → | ||
| 14–16 | -0.01 | 6% | 12 Jul → | ||
| 13–8 | 0.06 | 18% | 12 Jul → | ||
| 8–13 | -0.02 | 15% | 12 Jul → | ||
| 7–13 | -0.04 | 18% | 11 Jul → | ||
| 13–9 | 0.02 | 12% | 10 Jul → | ||
| 11–13 | 0.06 | 15% | 10 Jul → | ||
| 15–15 | 0.02 | 12% | 10 Jul → | ||
| 9–13 | 0.00 | 9% | 9 Jul → | ||
| 13–7 | 0.08 | 19% | 9 Jul → | ||
| 8–13 | 0.01 | 23% | 9 Jul → | ||
| 15–15 | 0.02 | 19% | 9 Jul → | ||
| 13–8 | 0.03 | 11% | 9 Jul → | ||
| 3–13 | -0.03 | 15% | 26 Jun → | ||
| 8–13 | 0.03 | 20% | 20 Jun → | ||
| 4–13 | -0.06 | 0% | 19 Jun → | ||
| 5–13 | 0.01 | 8% | 19 Jun → | ||
| 4–13 | 0.01 | 8% | 13 Jun → | ||
| 10–13 | 0.02 | 5% | 13 Jun → | ||
| 13–6 | -0.02 | 24% | 12 Jun → | ||
| 8–13 | -0.03 | 18% | 11 Jun → | ||
| 13–16 | -0.03 | 7% | 10 Jun → | ||
| 7–13 | -0.08 | 0% | 10 Jun → | ||
| 1–13 | -0.05 | 13% | 10 Jun → | ||
| 13–11 | -0.05 | 10% | 10 Jun → | ||
| 13–10 | 0.02 | 12% | 10 Jun → | ||
| 13–8 | -0.01 | 16% | 10 Jun → | ||
| 11–13 | -0.05 | 15% | 10 Jun → | ||
| 14–16 | 0.07 | 12% | 9 Jun → | ||
| 7–13 | -0.07 | 3% | 8 Jun → | ||
| 6–13 | -0.04 | 9% | 8 Jun → | ||
| 13–6 | 0.02 | 6% | 8 Jun → | ||
| 3–13 | -0.06 | 10% | 8 Jun → | ||
| 4–13 | -0.09 | 3% | 8 Jun → | ||
| 12–16 | -0.02 | 8% | 7 Jun → | ||
| 11–13 | -0.02 | 9% | 7 Jun → | ||
| 13–8 | -0.07 | 8% | 6 Jun → | ||
| 13–8 | -0.13 | 10% | 6 Jun → | ||
| 13–7 | 0.03 | 6% | 6 Jun → | ||
| 13–9 | -0.00 | 20% | 6 Jun → | ||
| 3–13 | -0.06 | 30% | 6 Jun → | ||
| 11–13 | -0.01 | 8% | 6 Jun → | ||
| 10–13 | 0.00 | 6% | 6 Jun → | ||
| 13–5 | -0.04 | 12% | 6 Jun → | ||
| 13–10 | -0.00 | 8% | 5 Jun → | ||
| 13–10 | 0.01 | 7% | 5 Jun → | ||
| 13–10 | -0.02 | 11% | 5 Jun → | ||
| 5–13 | -0.10 | 14% | 5 Jun → | ||
| 13–1 | -0.00 | 15% | 5 Jun → | ||
| 15–15 | -0.03 | 17% | 5 Jun → | ||
| 13–9 | -0.05 | 9% | 5 Jun → | ||
| 13–10 | 0.04 | 15% | 5 Jun → | ||
| 13–5 | -0.00 | 31% | 5 Jun → | ||
| 9–13 | -0.04 | 10% | 5 Jun → |
Match data via Leetify.