facesinho

facesinho — CS2 Stats

BR76561198271444962[U:1:311179234]Steam profile ↗✓ No bans

1,069Tracked matches48%Win rate2020Tracked since
1,389Hours in CS
CSDB Rating6.0 SolidAll-Rounder
Premier CS Rating22,947Top 25% of 215,386 CSDB-tracked playersPink band · top ~5.3% of ranked players (population est.)
CSDB Leaderboard#44806 of 261517 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 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: 22,947 +461 8 Aug – 12 Nov · 25 days played
22,27525,502peak 25,5028 Aug12 Nov
25,502Peak Premier in tracked matches
31Days played since 2026-07-20

Premier CS Rating

  • 2,555 below peak (25,502)
  • -190 over 30 days · steady
  • -1,828 over 90 days
  • Next: Red band at 25,000 — 2,053 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), 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.

MetricThis playerLevel 7 medianLevel 8 medianvs Level 8
Headshot rate38.0%45.7%46.8%8.8% short
Shot accuracy14.1%12.7%13.0%above
Kill/death ratio1.181.051.06above
Match win rate50.7%45.7%46.3%above

This profile matches the typical Level 8 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGfacesinhoFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER22,947 · Pink bandcsdb.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

Aim80
Positioning53
Utility50

0–100 skill scores via Leetify.

Recent form

COLD53–43–4Last 10053%Win rateLLWLLLWLWL

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · −1.2pp headshot accuracy · −45ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 10%
  • Avg reaction 550ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 568ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • 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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.0
Utility5.0
Positioning5.3
Opening Duels3.5
Clutch4.8

Limited 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.

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 94% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning profile; 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

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.

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

Aim8.0
Positioning5.3
Utility5.0
Mechanics6.4
Opening Duels2.9
Win Impact4.4

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time587ms−6ms
first ⅓ avg 593ms → last ⅓ avg 587ms
Headshot accuracy11.1%−2.7%
first ⅓ avg 13.7% → last ⅓ avg 11.1%

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

0.16Best match rating · 13–0 · dust2, 22 Sept →
100%Best headshot accuracy · 2–0 · mirage, 20 Jul →
391msFastest reaction time · 6–13 · anubis, 18 Oct →
13–0Biggest win · inferno, 22 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
8–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 63% over 8anubisWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A3520–1557%0.02
mirageC2511–1444%0.02
infernoA169–756%0.02
nukeA85–363%0.02
cacheA74–357%0.01
anubisC52–340%0.01
ancient—42–250%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

61,439Lifetime kills
1.18K/D · Top 25% of Level 7 players
2,866Matches
50.7%Match win rate · Top 25% of Level 7 players
38.0%Headshot %
14.1%Shot accuracy · Top 50% of Level 7 players
7,493MVPs
1,389Hours (in match)
4,119Bombs planted
772Bombs defused

Most-used weapons

AK-4715,878
AWP5,445
MP92,432
MAC-102,206
P2502,086

Lifetime map wins

5,719dust2
3,972inferno
2,121nuke
1,193vertigo
487train
354cbble
7office
6ar_baggage

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

177Matches
55%Win rate
1.19Avg K/D
90.9ADR
39%Headshot %

Clutches & streaks

44%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage6050%1.2017.4
Dust24264%1.3218.2
Anubis1735%1.0114.0
Inferno1650%1.0915.8
Nuke1656%1.1116.4
Vertigo967%1.0919.7
Ancient667%0.9114.2
Overpass683%1.5020.0

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.

11.6%Headshot accuracy
40.9%Accuracy (enemy spotted)
42.4%Spray accuracy
78.8%Counter-strafing
7.4°Preaim
579msReaction time
42.5%T opening success
40.6%CT opening success
0.60Enemies flashed / flash
2.2%Flash assists
9.57HE damage / grenade
4.94Flashes / 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 11.6122% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Anubis

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage6–13-0.029%12 Nov →
mirage14–16-0.0513%12 Nov →
dust213–80.025%10 Nov →
mirage14–160.0517%10 Nov →
mirage12–160.085%9 Nov →
dust25–13-0.036%8 Nov →
cache13–100.0320%7 Nov →
inferno9–13-0.0112%7 Nov →
inferno13–80.0611%4 Nov →
dust25–130.0010%4 Nov →
nuke14–160.0212%4 Nov →
inferno11–130.045%29 Oct →
inferno13–50.0712%29 Oct →
dust213–5-0.0111%29 Oct →
inferno13–9-0.0612%25 Oct →
nuke13–8-0.037%25 Oct →
cache6–13-0.0713%25 Oct →
mirage13–10-0.0017%25 Oct →
dust213–160.0319%23 Oct →
dust213–110.0312%23 Oct →
anubis1–13-0.017%20 Oct →
nuke13–60.0110%20 Oct →
dust213–110.0122%19 Oct →
dust213–30.0712%19 Oct →
mirage15–15-0.019%18 Oct →
anubis6–13-0.0516%18 Oct →
dust23–13-0.018%16 Oct →
mirage10–130.0213%10 Oct →
mirage13–80.0213%10 Oct →
ancient13–11-0.015%10 Oct →
mirage13–50.029%10 Oct →
dust24–13-0.040%8 Oct →
dust26–13-0.1015%8 Oct →
dust213–60.0514%8 Oct →
cache9–130.0514%7 Oct →
nuke5–13-0.0619%7 Oct →
dust210–13-0.0110%7 Oct →
inferno7–13-0.0113%7 Oct →
cache13–90.025%7 Oct →
anubis11–130.0313%22 Sept →
inferno3–13-0.0713%22 Sept →
mirage7–13-0.0211%22 Sept →
inferno13–00.027%22 Sept →
dust213–00.1613%22 Sept →
anubis13–100.0711%22 Sept →
dust213–60.067%21 Sept →
inferno13–50.0729%26 Aug →
dust24–130.0517%26 Aug →
dust23–13-0.054%26 Aug →
dust24–130.0513%26 Aug →
cache11–130.0113%26 Aug →
dust215–150.0212%25 Aug →
dust213–90.038%15 Aug →
dust213–10-0.0112%15 Aug →
dust213–60.0414%15 Aug →
mirage13–10.0514%15 Aug →
dust213–11-0.0310%14 Aug →
inferno9–130.0110%14 Aug →
inferno16–140.0311%14 Aug →
dust213–40.0117%14 Aug →
mirage3–130.0014%14 Aug →
mirage13–90.1210%14 Aug →
mirage11–130.018%14 Aug →
ancient11–130.024%14 Aug →
dust216–120.0512%13 Aug →
cache13–90.003%13 Aug →
cache16–13-0.007%13 Aug →
mirage16–140.027%12 Aug →
mirage13–3-0.0117%12 Aug →
mirage3–13-0.038%12 Aug →
dust213–70.018%12 Aug →
inferno15–150.0415%12 Aug →
inferno13–90.0412%12 Aug →
dust213–10-0.067%12 Aug →
mirage11–130.0612%11 Aug →
dust29–130.047%11 Aug →
mirage4–13-0.0713%11 Aug →
ancient15–150.0012%11 Aug →
nuke13–110.048%11 Aug →
anubis13–50.0111%10 Aug →
nuke13–70.0614%10 Aug →
mirage10–40.105%10 Aug →
dust213–40.0911%10 Aug →
inferno13–90.059%10 Aug →
dust212–90.027%10 Aug →
mirage5–130.0311%10 Aug →
mirage13–30.064%8 Aug →
mirage13–40.0312%8 Aug →
inferno9–130.0117%8 Aug →
inferno13–90.108%8 Aug →
nuke4–130.0320%8 Aug →
ancient13–50.049%8 Aug →
dust26–13-0.069%8 Aug →
dust20–100.0914%27 Jul →
mirage5–130.0213%24 Jul →
dust213–50.1011%22 Jul →
dust210–130.0117%20 Jul →
nuke13–80.0711%20 Jul →
dust213–10-0.0113%20 Jul →
mirage2–00.03100%20 Jul →

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.