Covida-Prata-Samy19

Covida-Prata-Samy19 — CS2 Stats

76561198014936710[U:1:54670982]Steam profile ↗✓ No bans

1,036Tracked matches50%Win rate2020Tracked since
CSDB Rating4.1 DevelopingSupport
Premier CS Rating16,755Purple band · top ~21.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,755 +3,619 17 Jun – 7 Oct · 10 days played
13,13616,755peak 16,75517 Jun7 Oct
16,755Peak Premier in tracked matches
1,087Highest Faceit ELO seen on CSDB
36Days played since 2026-05-28

Faceit ELO

  • At peak — 1,087
  • Next: Level 6 at 1,201 — 114 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-07
  • Level 4 first seen 2026-09-07

Premier CS Rating

  • At peak — 16,755
  • +1,740 over 30 days · improving
  • +2,046 over 90 days
  • Next: Pink band at 20,000 — 3,245 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-07
  • Blue band first seen 2026-09-07

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. 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.

Share this profile

CSDB.GGCovida-Prata-Samy19PREMIER16,755 · Purple bandPEAK ELO1,087csdb.gg/stats

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

Aim42
Positioning39
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateWWWLWLWWTL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −3.3pp headshot accuracy · +120ms reaction

Win rate up 20pp 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 -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 678ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 651ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 591ms

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 (+2.7 against its own average).

Aim4.2
Utility6.2
Positioning3.9
Opening Duels0.2
Clutch3.6

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

Twistzz

Plays most like Twistzz 69% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Areas to improve

Reaction time. 579ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.2
Positioning3.9
Utility6.2
Mechanics4.1
Opening Duels0.5
Win Impact5.0

Composite 4.1/10 (Developing), 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

Match rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time591ms−38ms
first ⅓ avg 629ms → last ⅓ avg 591ms
Headshot accuracy14.3%+1.2%
first ⅓ avg 13.1% → last ⅓ avg 14.3%

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

0.10Best match rating · 7–2 · mirage, 30 Sept →
33%Best headshot accuracy · 1–13 · ancient, 30 Sept →
422msFastest reaction time · 13–4 · ancient, 7 Oct →
13–0Biggest win · nuke, 17 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
5–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 67% over 9dust2Weakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
ancientA1810–856%-0.04
dust2D165–1131%-0.04
anubisC167–944%-0.02
infernoA127–558%-0.02
nukeA116–555%-0.02
cacheC94–544%-0.02
mirageS96–367%-0.01
overpass—42–250%-0.04
vertigo—33–0100%0.03
train—21–150%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

791Matches
49%Win rate
0.90Avg K/D
66.1ADR
37%Headshot %

Clutches & streaks

38%1v1 clutch win
17%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Anubis7557%0.9013.0
Ancient6047%0.8012.9
Nuke5151%0.7912.8
Inferno4536%0.7612.2
Dust22462%0.8514.3
Train1250%1.1015.3
Overpass1155%1.1614.0
Vertigo1080%1.3017.1

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.

14.2%Headshot accuracy
32.9%Accuracy (enemy spotted)
36.1%Spray accuracy
68.6%Counter-strafing
13.2°Preaim
579msReaction time
23.7%T opening success
33.9%CT opening success
0.67Enemies flashed / flash
5.4%Flash assists
8.69HE damage / grenade
11.27Flashes / match

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.

  1. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.2207° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.1736% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
train13–9-0.0118%11 Oct →
ancient13–4-0.053%7 Oct →
cache13–11-0.069%7 Oct →
dust26–13-0.0614%30 Sept →
mirage7–20.1014%30 Sept →
ancient1–130.0233%30 Sept →
nuke13–40.0016%30 Sept →
anubis13–7-0.0614%30 Sept →
anubis12–12-0.0912%30 Sept →
nuke11–130.009%28 Sept →
dust27–13-0.0619%28 Sept →
ancient13–10-0.0420%26 Sept →
inferno13–6-0.0113%24 Sept →
ancient10–13-0.0412%12 Sept →
ancient13–10-0.120%7 Sept →
cache10–13-0.0616%7 Sept →
inferno12–12-0.0222%7 Sept →
dust27–13-0.0231%30 Aug →
anubis5–130.0420%30 Aug →
ancient13–6-0.0122%30 Aug →
inferno13–100.0210%30 Aug →
train10–13-0.0421%30 Aug →
mirage12–12-0.0211%30 Aug →
vertigo13–10.074%30 Aug →
anubis13–30.0010%26 Aug →
dust211–13-0.0117%26 Aug →
anubis6–13-0.0113%26 Aug →
ancient8–13-0.027%26 Aug →
cache9–13-0.0215%20 Aug →
inferno15–15-0.0915%18 Aug →
cache13–60.0312%18 Aug →
dust213–7-0.0110%17 Aug →
mirage10–13-0.0412%17 Aug →
cache13–8-0.0418%17 Aug →
nuke13–00.0719%17 Aug →
mirage13–50.0213%17 Aug →
cache11–130.009%13 Aug →
dust29–13-0.0715%13 Aug →
anubis6–13-0.0616%10 Aug →
anubis16–14-0.0013%10 Aug →
nuke13–50.026%10 Aug →
cache6–13-0.0718%10 Aug →
overpass10–13-0.0215%10 Aug →
ancient4–13-0.076%6 Aug →
anubis10–13-0.0716%3 Aug →
nuke12–12-0.0514%3 Aug →
cache13–50.0614%3 Aug →
nuke9–13-0.0511%3 Aug →
dust26–13-0.0610%3 Aug →
inferno13–30.0014%2 Aug →
mirage13–40.049%2 Aug →
dust213–5-0.0520%2 Aug →
mirage9–13-0.1017%2 Aug →
ancient7–13-0.086%1 Aug →
nuke11–13-0.057%1 Aug →
ancient16–14-0.0213%1 Aug →
dust21–13-0.1310%1 Aug →
vertigo13–40.0313%1 Aug →
ancient2–13-0.0720%29 Jul →
dust24–130.0210%29 Jul →
anubis10–13-0.0421%29 Jul →
cache9–13-0.049%29 Jul →
nuke13–5-0.054%28 Jul →
dust216–13-0.0113%28 Jul →
anubis13–100.0215%28 Jul →
inferno13–10-0.0331%28 Jul →
ancient16–12-0.0410%28 Jul →
anubis4–13-0.0524%23 Jul →
inferno13–9-0.024%20 Jul →
dust25–13-0.0115%20 Jul →
inferno5–130.0018%20 Jul →
ancient6–13-0.0211%20 Jul →
inferno13–70.0310%19 Jul →
ancient15–15-0.0610%19 Jul →
nuke16–14-0.0510%18 Jul →
inferno16–140.0214%18 Jul →
ancient13–70.036%18 Jul →
anubis13–40.0213%16 Jul →
vertigo13–7-0.018%15 Jul →
anubis13–50.0710%15 Jul →
dust26–13-0.104%15 Jul →
anubis9–13-0.0713%15 Jul →
ancient19–15-0.0414%14 Jul →
nuke1–13-0.104%14 Jul →
mirage13–60.0218%13 Jul →
ancient13–100.0123%2 Jul →
anubis13–7-0.024%2 Jul →
ancient13–6-0.0217%2 Jul →
dust25–13-0.0519%26 Jun →
inferno11–13-0.089%26 Jun →
dust213–5-0.0218%17 Jun →
nuke13–10-0.0114%17 Jun →
overpass10–13-0.0513%15 Jun →
anubis11–13-0.0214%15 Jun →
mirage13–4-0.1010%14 Jun →
overpass13–8-0.0719%11 Jun →
dust213–30.0427%11 Jun →
mirage13–3-0.0514%11 Jun →
inferno9–13-0.0517%11 Jun →
overpass13–7-0.025%28 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.