FRANCISCO4

FRANCISCO4 — CS2 Stats

76561197972890744[U:1:12625016]Steam profile ↗✓ No bans

807Tracked matches45%Win rate2021Tracked since
CSDB Rating2.9 LearningSupport
Premier CS Rating3,685Grey band · top ~84.4% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Jun 2025 (453 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 33 days played since 27 Aug 2024. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 3,685 -2,909 26 Jan21 Jun · 12 days played
3,4336,594peak 6,59426 Jan21 Jun
6,625Peak Premier in tracked matches
33Days played since 2024-08-27

Premier CS Rating

  • 2,909 below peak (6,594)
  • -541 over 30 days · declining
  • Next: Light Blue band at 5,000 1,315 to go
  • Reached: Light Blue band

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.GGFRANCISCO4FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER3,685 · Grey bandcsdb.gg/stats

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Performance scores

Aim15
Positioning45
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY49483Last 10049%Win rateWWWLLLWLTL

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · +1.5pp headshot accuracy · −77ms 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

  • 32 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 683ms

Last 10

  • 451 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 660ms

Last 20

  • 6131 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 698ms

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: SupportUtility contribution stands above the rest of this profile (+1.2 against its own average).

Aim1.5
Utility5.0
Positioning4.5
Opening Duels2.3
Clutch3.6

Strong 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.

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

iM

Plays most like iM 53% 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

T-side openings. Opening success drops from 48% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 712ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim1.5
Positioning4.5
Utility5.0
Mechanics3.8
Opening Duels2.2
Win Impact3.3

Composite 2.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.02
first ⅓ avg -0.05 → last ⅓ avg -0.03
Reaction time710ms−48ms
first ⅓ avg 758ms → last ⅓ avg 710ms
Headshot accuracy12.5%+0.1%
first ⅓ avg 12.4% → last ⅓ avg 12.5%

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

0.08Best match rating · 13–5 · inferno, 13 May
28%Best headshot accuracy · 9–13 · mirage, 9 Mar
391msFastest reaction time · 6–13 · ancient, 7 Apr
13–2Biggest win · dust2, 21 May

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
56In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 67% over 9dust2Weakest map · 38% over 34
MapGradePlayedRecordWin rateAvg rating
dust2C34132138%-0.04
mirageB25131252%-0.04
infernoA2113862%-0.03
ancientS96367%-0.05
anubisC83538%-0.06
nuke21150%-0.02
vertigo1010%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 34). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

52Matches
52%Win rate
0.61Avg K/D
55.6ADR
40%Headshot %

Clutches & streaks

38%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust21650%0.7010.6
Mirage1656%0.558.9
Inferno1060%0.637.9
Anubis475%0.548.5
Vertigo40%0.476.8
Ancient1100%0.7814.0

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.

12.6%Headshot accuracy
25.1%Accuracy (enemy spotted)
27.5%Spray accuracy
67.0%Counter-strafing
12.4°Preaim
712msReaction time
27.0%T opening success
47.8%CT opening success
0.47Enemies flashed / flash
3.8%Flash assists
7.52HE damage / grenade
7.02Flashes / 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 12.3686° — 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 12.5705% — below the 15% mark we flag

    Aim Training
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 712.3497ms — above the 700ms 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.

38% win rate across 34 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–10-0.019%21 Jun
dust213–8-0.0119%21 Jun
ancient13–5-0.0223%20 Jun
anubis3–13-0.027%20 Jun
inferno3–13-0.0315%15 Jun
mirage3–13-0.108%15 Jun
mirage13–10-0.0816%4 Jun
dust24–13-0.1115%4 Jun
mirage15–15-0.0217%4 Jun
dust210–13-0.067%1 Jun
mirage13–9-0.038%1 Jun
anubis10–13-0.088%1 Jun
dust210–13-0.0213%1 Jun
inferno3–13-0.0716%1 Jun
nuke3–13-0.0511%1 Jun
mirage6–13-0.0716%1 Jun
dust26–13-0.0513%1 Jun
dust27–13-0.047%1 Jun
mirage16–14-0.0317%25 May
dust212–16-0.0311%25 May
mirage13–6-0.0117%25 May
inferno13–90.028%25 May
anubis16–13-0.0410%21 May
dust213–20.0412%21 May
anubis6–13-0.0615%21 May
anubis13–5-0.0413%18 May
dust26–13-0.0110%18 May
anubis11–13-0.0615%15 May
mirage16–14-0.049%14 May
inferno13–50.0814%13 May
inferno13–40.049%13 May
nuke13–20.0110%13 May
mirage4–13-0.0316%13 May
dust211–13-0.0517%12 May
mirage14–16-0.0114%12 May
mirage13–9-0.0620%11 May
mirage11–13-0.0710%11 May
dust213–5-0.0019%11 May
mirage13–5-0.0215%10 May
inferno13–11-0.0513%10 May
inferno13–4-0.003%10 May
inferno13–50.0213%10 May
mirage15–15-0.0810%10 May
dust28–13-0.092%10 May
mirage5–13-0.0218%10 May
dust213–6-0.0310%7 May
mirage15–15-0.0515%7 May
dust27–13-0.0414%7 May
inferno13–6-0.0326%7 May
inferno13–40.0117%7 May
dust213–10-0.0311%7 May
inferno13–6-0.0410%5 May
mirage13–8-0.0118%20 Apr
mirage8–13-0.0211%20 Apr
inferno1–7-0.0910%20 Apr
dust29–13-0.0616%19 Apr
ancient8–3-0.060%19 Apr
inferno5–13-0.0510%17 Apr
dust22–8-0.0327%17 Apr
dust213–40.0014%14 Apr
ancient6–13-0.0613%14 Apr
inferno5–13-0.016%14 Apr
dust29–13-0.0513%13 Apr
dust23–130.0026%13 Apr
inferno13–70.065%13 Apr
inferno1–13-0.098%13 Apr
ancient6–13-0.0623%7 Apr
mirage13–10-0.0414%19 Mar
ancient13–2-0.080%16 Mar
ancient13–10-0.098%16 Mar
inferno3–13-0.042%16 Mar
mirage16–13-0.0818%9 Mar
ancient2–5-0.0522%9 Mar
mirage9–13-0.0328%9 Mar
dust29–13-0.0211%9 Mar
anubis4–13-0.104%9 Mar
dust211–13-0.0717%8 Mar
ancient13–6-0.0111%26 Jan
dust23–13-0.0612%26 Jan
dust213–8-0.0610%26 Jan
ancient13–9-0.0110%8 Sept
dust28–13-0.0418%8 Sept
mirage13–11-0.039%8 Sept
dust213–4-0.0413%8 Sept
inferno13–7-0.123%8 Sept
vertigo6–13-0.0312%8 Sept
mirage13–7-0.0523%31 Aug
dust210–0-0.050%30 Aug
dust213–9-0.0414%30 Aug
dust211–13-0.0713%30 Aug
dust25–13-0.0510%29 Aug
dust213–9-0.0825%29 Aug
inferno13–7-0.067%29 Aug
inferno13–9-0.0915%29 Aug
inferno5–13-0.0219%29 Aug
anubis13–7-0.0814%29 Aug
dust29–13-0.1015%28 Aug
mirage7–13-0.0518%28 Aug
dust215–13-0.026%28 Aug
dust216–13-0.0310%27 Aug

Match data via Leetify.

Recent teammates

Milestones

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