자갸!

자갸! — CS2 Stats

76561198091265834[U:1:131000106]Steam profile ↗✓ No bans

1,718Tracked matches75%Win rate2020Tracked since
CSDB Rating7.1 StrongSupport
Premier CS Rating27,178Top 5% of 215,386 CSDB-tracked playersRed band · top ~2% of ranked players (population est.)
CSDB Leaderboard#5909 of 261555 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Nov 2026 (8 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: 27,178 +2,280 31 Oct – 6 Nov · 5 days played
24,89827,178peak 27,17831 Oct6 Nov
27,679Peak Premier in tracked matches
24Days played since 2026-09-18

Premier CS Rating

  • At peak — 27,178
  • Next: Gold band at 30,000 — 2,822 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.

Share this profile

CSDB.GG자갸!FACEITLevel 9STANDINGTop 20.7% of rankedPREMIER27,178 · Red bandcsdb.gg/stats

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Performance scores

Aim81
Positioning58
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY61–28–11Last 10061%Win rateTWWLLWWLLT

Last 10 vs previous 10: −50pp win rate · −0.02 avg rating · −0.5pp headshot accuracy · −36ms reaction

Win rate down 50pp 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 528ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 521ms

Last 20

  • 13–5–2 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 539ms

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 (+1.1 against its own average).

Aim8.1
Utility6.5
Positioning5.8
Opening Duels3.5
Clutch5.8

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

Twistzz

Plays most like Twistzz 92% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Preaim. Mechanical aim is strong but the crosshair sits 11.2° off target when enemies appear — placement, not flicking, is the bigger win available.

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

Aim8.1
Positioning5.8
Utility6.5
Mechanics5.4
Opening Duels3.6
Win Impact10.0

Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time516ms+17ms
first ⅓ avg 499ms → last ⅓ avg 516ms
Headshot accuracy22.1%+0.4%
first ⅓ avg 21.7% → last ⅓ avg 22.1%

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 · 13–7 · mirage, 8 Oct →
47%Best headshot accuracy · 13–8 · nuke, 31 Oct →
344msFastest reaction time · 5–13 · dust2, 8 Oct →
13–1Biggest win · mirage, 28 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
12–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 78% over 9anubisWeakest map · 50% over 6
MapGradePlayedRecordWin rateAvg rating
dust2S2718–967%0.01
mirageA2314–961%0.03
infernoA169–756%-0.01
nukeS97–278%0.00
ancientS96–367%0.03
cacheA74–357%0.01
anubisB63–350%0.03
office—20–20%-0.03
train—10–10%0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (50% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

305Matches
56%Win rate
1.16Avg K/D
78.9ADR
50%Headshot %

Clutches & streaks

49%1v1 clutch win
24%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3850%1.0316.4
Dust23063%1.2916.0
Inferno1872%1.1718.4
Ancient1443%1.0016.6
Cache875%1.0212.9
Anubis862%1.0818.9
Train450%1.2518.3
Overpass250%0.7215.5

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.

21.9%Headshot accuracy
38.6%Accuracy (enemy spotted)
43.8%Spray accuracy
74.3%Counter-strafing
11.2°Preaim
524msReaction time
47.0%T opening success
42.0%CT opening success
0.57Enemies flashed / flash
11.0%Flash assists
8.35HE damage / grenade
10.29Flashes / match

Recent matches

MapScoreRatingHS%Date
cache12–12-0.0216%14 Nov →
inferno13–4-0.0019%14 Nov →
dust213–100.0115%14 Nov →
dust25–130.0327%11 Nov →
mirage6–13-0.0423%11 Nov →
inferno13–90.0121%6 Nov →
cache13–110.0316%6 Nov →
inferno6–13-0.0821%6 Nov →
inferno1–13-0.0817%4 Nov →
mirage12–12-0.0324%4 Nov →
inferno13–50.0225%4 Nov →
dust25–13-0.0825%3 Nov →
nuke13–4-0.0320%3 Nov →
inferno13–70.0213%3 Nov →
cache13–70.0715%3 Nov →
ancient13–9-0.0318%3 Nov →
cache13–10-0.0717%3 Nov →
mirage13–11-0.0121%3 Nov →
dust213–40.0523%2 Nov →
mirage13–100.0628%1 Nov →
cache11–130.0619%1 Nov →
anubis13–60.1125%1 Nov →
mirage13–60.1529%1 Nov →
ancient13–7-0.0027%1 Nov →
nuke13–70.0319%1 Nov →
inferno13–70.0921%1 Nov →
anubis1–13-0.0521%1 Nov →
dust213–50.0231%1 Nov →
inferno13–30.0231%1 Nov →
ancient13–40.0838%1 Nov →
ancient11–50.0521%1 Nov →
ancient13–160.0422%1 Nov →
anubis7–130.0022%1 Nov →
inferno4–13-0.067%1 Nov →
nuke9–130.0320%31 Oct →
nuke13–8-0.0147%31 Oct →
ancient13–2-0.0114%31 Oct →
dust213–70.0219%31 Oct →
anubis13–90.0624%31 Oct →
dust213–80.0126%31 Oct →
dust213–110.0918%29 Oct →
ancient11–130.0316%29 Oct →
mirage9–130.0723%29 Oct →
inferno7–130.0433%29 Oct →
inferno13–90.0116%28 Oct →
nuke13–110.0523%28 Oct →
nuke12–12-0.0325%28 Oct →
mirage13–10.0913%28 Oct →
mirage12–120.0313%27 Oct →
dust213–10-0.019%27 Oct →
ancient12–120.0126%27 Oct →
dust212–120.0323%27 Oct →
nuke13–80.0021%27 Oct →
dust212–12-0.0218%27 Oct →
dust24–13-0.0739%27 Oct →
inferno5–130.0320%25 Oct →
inferno11–130.0025%25 Oct →
office9–13-0.0331%25 Oct →
mirage11–130.0727%25 Oct →
mirage12–120.0226%23 Oct →
mirage13–6-0.0119%23 Oct →
mirage13–11-0.0022%23 Oct →
dust26–13-0.0524%20 Oct →
ancient13–50.0933%19 Oct →
dust26–13-0.0214%19 Oct →
inferno13–1-0.0426%19 Oct →
dust213–40.0010%17 Oct →
mirage6–0-0.0025%17 Oct →
dust213–11-0.059%17 Oct →
nuke13–10-0.0425%17 Oct →
cache13–20.0518%17 Oct →
mirage13–70.1626%8 Oct →
mirage4–13-0.0126%8 Oct →
dust25–13-0.0719%8 Oct →
dust213–50.0314%8 Oct →
dust213–10.1532%7 Oct →
mirage13–30.0717%7 Oct →
train12–120.0729%7 Oct →
inferno11–13-0.0316%3 Oct →
anubis13–110.0120%30 Sept →
mirage13–11-0.0418%30 Sept →
cache12–12-0.0522%30 Sept →
mirage13–110.0225%27 Sept →
mirage13–110.0521%27 Sept →
office10–13-0.0217%27 Sept →
dust213–30.1524%27 Sept →
dust213–11-0.0116%20 Sept →
dust213–90.0136%20 Sept →
dust28–13-0.0122%20 Sept →
inferno13–7-0.0619%19 Sept →
mirage11–30.0314%19 Sept →
nuke13–20.0135%19 Sept →
anubis12–120.0429%19 Sept →
dust213–6-0.0116%19 Sept →
dust213–30.0226%19 Sept →
dust213–60.0616%19 Sept →
mirage0–13-0.110%19 Sept →
dust213–11-0.0426%18 Sept →
mirage11–13-0.0238%18 Sept →
mirage13–40.0620%18 Sept →

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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