Falco

Falco — CS2 Stats

FI76561197979823227[U:1:19557499]Steam profile ↗✓ No bans

1,428Tracked matches37%Win rate2020Tracked since
CSDB Rating3.7 LearningClutch Specialist
Premier CS Rating12,940Blue band · top ~39.3% of ranked players (population est.)
FaceitLevel 4 · 1,034 ELOTop 81.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

+329Premier CS Rating · 12,611 → 12,940

Rating over time

Premier CS Rating: 12,940 -3,115 20 Mar – 11 Oct · 22 days played
11,88916,055peak 16,05520 Mar11 Oct
16,375Peak Premier in tracked matches
1,034Highest Faceit ELO seen on CSDB
35Days played since 2026-03-20

Faceit ELO

  • At peak — 1,034
  • Next: Level 5 at 1,051 — 17 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-20
  • Level 3 first seen 2026-09-20

Premier CS Rating

  • 3,115 below peak (16,055)
  • +731 over 30 days · improving
  • Next: Purple band at 15,000 — 2,060 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-20
  • Light Blue band first seen 2026-09-20

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.GGFalcoFACEITLevel 4 · 1,034 ELOSTANDINGTop 81.0% of rankedPREMIER12,940 · Blue bandPEAK ELO1,034csdb.gg/stats

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Performance scores

Aim51
Positioning46
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY41–54–5Last 10041%Win rateWWLWWWLLWL

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating · −2.0pp headshot accuracy · −28ms reaction

Win rate up 40pp 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 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 583ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 583ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 597ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1 against its own average).

Aim5.1
Utility4.4
Positioning4.6
Opening Duels1.6
Clutch4.8

Strong T-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

ZywOo

Plays most like ZywOo 86% playstyle similarity

Most alike: positioning profile, utility contribution.

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

CT openings. Opening success drops from 46% on T to 28% on CT — first contacts on the defending side are being lost.

Reaction time. 573ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim5.1
Positioning4.6
Utility4.4
Mechanics3.6
Opening Duels2.1
Win Impact0.6

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time573ms−42ms
first ⅓ avg 615ms → last ⅓ avg 573ms
Headshot accuracy13.6%−2.1%
first ⅓ avg 15.7% → last ⅓ avg 13.6%

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 · 13–10 · nuke, 11 Oct →
36%Best headshot accuracy · 3–13 · ancient, 20 Mar →
391msFastest reaction time · 11–13 · nuke, 18 May →
13–2Biggest win · mirage, 4 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
9–11In matches decided by ≤2 rounds
22Overtime games

Map breakdown

ancientBest map · 67% over 15dust2Weakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
infernoD237–1630%-0.02
nukeS1711–665%-0.00
anubisD165–1131%-0.02
ancientS1510–567%-0.02
dust2D91–811%-0.00
cacheD92–722%-0.02
mirageD82–625%-0.01
overpass—33–0100%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

446Matches
49%Win rate
0.91Avg K/D
73.5ADR
40%Headshot %

Clutches & streaks

44%1v1 clutch win
15%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno9058%0.9814.2
Nuke6957%1.1615.6
Ancient5448%0.8212.5
Dust24450%0.8511.6
Anubis3759%1.0915.5
Mirage1421%0.7311.4
Train1242%0.8713.4
Overpass933%0.9014.7

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.

12.5%Headshot accuracy
35.1%Accuracy (enemy spotted)
36.1%Spray accuracy
66.0%Counter-strafing
10.5°Preaim
573msReaction time
46.4%T opening success
27.9%CT opening success
0.29Enemies flashed / flash
4.0%Flash assists
11.40HE damage / grenade
6.13Flashes / 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. 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 12.4651% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2939 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 27.8654% — below the 40% mark we flag

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.

11% win rate across 9 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
ancient16–140.038%11 Oct →
nuke13–100.1019%11 Oct →
nuke9–13-0.0412%11 Oct →
inferno13–110.0715%4 Oct →
mirage13–20.0118%4 Oct →
ancient13–9-0.016%3 Oct →
mirage9–13-0.046%29 Sept →
dust24–13-0.0214%29 Sept →
nuke13–6-0.0414%29 Sept →
inferno13–16-0.0512%20 Sept →
dust210–13-0.0233%9 Sept →
mirage13–160.0116%8 Sept →
ancient7–13-0.088%8 Sept →
anubis10–13-0.0211%5 Sept →
anubis13–6-0.0511%5 Sept →
nuke22–200.0115%2 Sept →
cache4–13-0.0622%2 Sept →
anubis17–19-0.058%2 Sept →
inferno13–16-0.056%2 Sept →
inferno6–13-0.0214%26 Aug →
mirage7–130.0119%26 Aug →
inferno8–130.0215%26 Aug →
anubis11–13-0.065%26 Aug →
cache16–130.019%26 Aug →
cache8–13-0.0215%23 Aug →
anubis3–13-0.099%23 Aug →
mirage6–13-0.0314%18 Aug →
anubis14–160.0411%18 Aug →
inferno16–130.015%17 Aug →
nuke13–70.0114%17 Aug →
anubis13–50.0423%17 Aug →
nuke13–100.0326%17 Aug →
ancient13–10-0.0316%17 Aug →
inferno10–13-0.0622%17 Aug →
cache13–110.0612%16 Aug →
ancient16–13-0.029%7 Aug →
inferno13–60.0115%7 Aug →
dust211–13-0.0016%7 Aug →
ancient13–60.0317%1 Aug →
inferno13–110.0010%1 Aug →
nuke13–8-0.0117%1 Aug →
dust216–130.009%28 Jul →
mirage6–13-0.0524%20 Jul →
ancient13–9-0.048%20 Jul →
inferno8–13-0.0615%20 Jul →
dust214–160.0411%18 Jul →
inferno11–13-0.0116%18 Jul →
cache15–15-0.1014%18 Jul →
inferno3–13-0.1012%18 Jul →
nuke13–70.0627%17 Jul →
inferno13–6-0.0218%17 Jul →
dust210–13-0.0329%17 Jul →
ancient13–8-0.0216%17 Jul →
cache11–130.0116%17 Jul →
inferno16–19-0.0616%6 Jun →
nuke6–130.0313%18 May →
nuke11–13-0.029%18 May →
mirage16–120.026%18 May →
inferno7–13-0.0314%11 May →
cache6–13-0.0413%11 May →
inferno9–13-0.0212%10 May →
anubis3–13-0.069%10 May →
anubis13–11-0.0423%29 Apr →
inferno13–11-0.018%29 Apr →
nuke5–13-0.0822%29 Apr →
cache9–130.0215%29 Apr →
cache11–13-0.0611%29 Apr →
dust28–130.039%23 Apr →
mirage5–13-0.0310%23 Apr →
inferno10–13-0.0520%21 Apr →
ancient22–20-0.0220%21 Apr →
inferno13–80.0421%21 Apr →
overpass13–11-0.0115%18 Apr →
anubis11–130.0221%18 Apr →
ancient13–5-0.019%15 Apr →
nuke13–9-0.0213%15 Apr →
ancient13–9-0.077%15 Apr →
inferno11–13-0.0318%14 Apr →
ancient7–13-0.0519%14 Apr →
nuke16–13-0.0211%9 Apr →
overpass16–12-0.025%9 Apr →
anubis13–8-0.0226%9 Apr →
ancient15–150.0514%9 Apr →
anubis12–12-0.0413%8 Apr →
anubis13–8-0.038%8 Apr →
anubis7–13-0.0511%8 Apr →
inferno6–13-0.0621%8 Apr →
anubis8–130.068%8 Apr →
dust210–130.0011%28 Mar →
nuke13–10-0.029%28 Mar →
overpass13–8-0.0314%28 Mar →
ancient6–13-0.095%28 Mar →
nuke15–150.0111%28 Mar →
inferno15–15-0.0424%28 Mar →
inferno8–13-0.0527%28 Mar →
anubis10–13-0.0113%23 Mar →
nuke19–22-0.0215%20 Mar →
dust24–13-0.0432%20 Mar →
nuke13–6-0.0524%20 Mar →
ancient3–13-0.0136%20 Mar →

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 →

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