filipinos22

filipinos22 — CS2 Stats

FI76561198450216543[U:1:489950815]Steam profile ↗✓ No bans

887Tracked matches52%Win rate2021Tracked since
1,799Hours in CS3Hrs last 2 wks
CSDB Rating5.1 DevelopingSupport
CSDB Leaderboard#83409 of 260012 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 20,000 +349 8 May – 22 May · 4 days played
19,65120,105peak 20,1058 May22 May
20,105Peak Premier in tracked matches
1,537Highest Faceit ELO seen on CSDB
43Days played since 2026-01-20

Faceit ELO

  • At peak — 1,537
  • Next: Level 9 at 1,751 — 214 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

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

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CSDB.GGfilipinos22PEAK ELO1,537csdb.gg/stats

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Performance scores

Aim60
Positioning43
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateLWLWLWLWLT

Last 10 vs previous 10: 0pp win rate · −0.08 avg rating · −0.4pp headshot accuracy · −109ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 541ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 555ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 610ms

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 (+2.6 against its own average).

Aim6.0
Utility6.3
Positioning4.3
Opening Duels1.3
Clutch2.8

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 77% 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. 645ms 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

Aim6.0
Positioning4.3
Utility6.3
Mechanics7.4
Opening Duels0.8
Win Impact5.6

Composite 5.1/10 (Developing), 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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time639ms+18ms
first ⅓ avg 620ms → last ⅓ avg 639ms
Headshot accuracy17.9%+2.0%
first ⅓ avg 15.9% → last ⅓ avg 17.9%

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

0.23Best match rating · 9–4 · inferno, 22 Jun →
44%Best headshot accuracy · 9–2 · sanctum, 23 Feb →
422msFastest reaction time · 1–9 · inferno, 15 Feb →
13–3Biggest win · nuke, 20 Jan →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–7In matches decided by ≤2 rounds
15Overtime games

Map breakdown

cacheBest map · 67% over 6infernoWeakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
mirageB2714–1352%-0.00
nukeA2515–1060%-0.01
infernoD186–1233%-0.03
dust2C73–443%-0.01
overpassA74–357%-0.03
cacheS64–267%0.00
ancientC52–340%-0.02
anubis—21–150%0.03
vertigo—10–10%-0.05
sanctum—11–0100%-0.12
warden—10–10%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

47,350Lifetime kills
0.89K/D
2,752Matches
41.0%Match win rate
38.1%Headshot %
14.9%Shot accuracy · Top 50% of tracked players
6,619MVPs
1,020Hours (in match)
2,996Bombs planted
848Bombs defused

Most-used weapons

Lifetime map wins

4,162nuke
3,804train
3,702inferno
1,853dust2
936vertigo
466cbble
249office
113lake

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

Faceit stats

Combat

519Matches
49%Win rate
0.97Avg K/D
67.9ADR
40%Headshot %

Clutches & streaks

34%1v1 clutch win
23%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage14848%0.8613.1
Nuke9859%1.0414.7
Inferno5143%0.9214.4
Overpass3348%0.8913.9
Dust23345%0.9513.8
Ancient2330%0.7913.0
Train1921%0.8212.5
Anubis1250%0.9512.8

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.

15.7%Headshot accuracy
34.5%Accuracy (enemy spotted)
35.5%Spray accuracy
83.4%Counter-strafing
10.5°Preaim
645msReaction time
29.6%T opening success
36.3%CT opening success
0.69Enemies flashed / flash
8.6%Flash assists
8.06HE damage / grenade
11.51Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 29.5983% — below the 40% mark we flag

Spend your practice time on Inferno

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

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno11–130.026%3 Nov →
mirage13–70.0112%3 Nov →
ancient10–130.0218%25 Oct →
inferno13–90.0217%25 Oct →
inferno3–9-0.1936%28 Sept →
nuke9–7-0.198%28 Sept →
ancient8–13-0.078%13 Aug →
cache16–13-0.0030%13 Aug →
inferno6–9-0.0024%12 Aug →
nuke8–8-0.0016%12 Aug →
nuke8–80.0838%12 Aug →
cache9–130.0428%6 Aug →
nuke9–130.0123%4 Aug →
inferno13–110.0616%22 Jun →
inferno9–40.2313%22 Jun →
vertigo6–9-0.0518%22 Jun →
ancient5–13-0.056%22 May →
ancient13–9-0.017%20 May →
nuke8–130.0013%14 May →
mirage13–90.1017%14 May →
cache10–13-0.0917%12 May →
nuke9–60.0518%12 May →
dust213–60.1031%8 May →
cache13–6-0.0421%6 May →
cache13–6-0.0023%6 May →
cache13–80.1014%6 May →
inferno4–13-0.137%28 Apr →
inferno2–13-0.0612%15 Apr →
mirage7–13-0.0218%3 Apr →
inferno15–15-0.057%3 Apr →
nuke13–4-0.0623%3 Apr →
overpass10–13-0.0820%21 Mar →
inferno13–60.0229%2 Mar →
mirage13–80.009%2 Mar →
nuke13–11-0.0712%27 Feb →
mirage11–13-0.0510%27 Feb →
nuke13–50.0513%27 Feb →
sanctum9–2-0.1244%23 Feb →
mirage7–130.027%23 Feb →
overpass13–100.0115%23 Feb →
nuke13–70.0311%23 Feb →
inferno13–70.0219%17 Feb →
dust214–16-0.0213%17 Feb →
nuke16–130.0619%16 Feb →
nuke14–16-0.0614%15 Feb →
inferno1–9-0.180%15 Feb →
nuke13–16-0.0210%15 Feb →
inferno2–13-0.094%14 Feb →
mirage13–7-0.027%14 Feb →
mirage11–13-0.085%12 Feb →
mirage16–120.0010%12 Feb →
mirage13–100.0621%10 Feb →
mirage13–7-0.010%10 Feb →
dust25–13-0.0416%10 Feb →
overpass13–7-0.014%9 Feb →
inferno6–130.0637%9 Feb →
nuke7–13-0.0313%9 Feb →
mirage19–22-0.0117%9 Feb →
nuke13–80.0130%9 Feb →
nuke13–60.0116%8 Feb →
mirage13–10-0.0628%8 Feb →
dust210–13-0.0210%8 Feb →
dust213–11-0.0617%5 Feb →
nuke8–13-0.0111%5 Feb →
mirage13–9-0.0114%5 Feb →
nuke13–8-0.0611%5 Feb →
overpass13–80.0727%4 Feb →
mirage16–130.0726%4 Feb →
mirage11–13-0.0315%4 Feb →
nuke11–13-0.057%4 Feb →
dust23–130.0112%4 Feb →
mirage9–130.0838%3 Feb →
mirage10–13-0.0425%2 Feb →
mirage13–100.0210%2 Feb →
inferno13–8-0.0614%31 Jan →
mirage13–110.0217%31 Jan →
anubis13–40.1011%30 Jan →
ancient13–90.0125%30 Jan →
nuke13–60.0224%30 Jan →
mirage12–16-0.0027%27 Jan →
dust213–7-0.0035%27 Jan →
nuke13–9-0.0212%27 Jan →
overpass7–13-0.0513%27 Jan →
inferno9–13-0.0415%27 Jan →
inferno13–16-0.037%26 Jan →
mirage13–10-0.0110%26 Jan →
overpass16–13-0.099%25 Jan →
warden12–120.0425%24 Jan →
inferno8–13-0.0715%24 Jan →
nuke16–14-0.0312%23 Jan →
overpass15–19-0.0410%23 Jan →
mirage13–16-0.029%23 Jan →
anubis8–13-0.049%23 Jan →
nuke4–130.0211%23 Jan →
mirage13–8-0.0020%22 Jan →
nuke13–60.0014%22 Jan →
mirage4–130.0020%22 Jan →
mirage9–13-0.048%21 Jan →
mirage6–13-0.026%21 Jan →
nuke13–30.1113%20 Jan →

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 →

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