Pata

Pata — CS2 Stats

SE76561197994757704[U:1:34491976]Steam profile ↗✓ No bans

1,041Tracked matches55%Win rate2026Tracked since
CSDB Rating5.2 DevelopingAll-Rounder
Premier CS Rating11,748Blue band · top ~45.6% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). 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: 11,748 +926 30 Oct – 4 Nov · 6 days played
10,71812,024peak 12,02430 Oct4 Nov
12,260Peak Premier in tracked matches
6Days played since 2026-10-30

Premier CS Rating

  • 276 below peak (12,024)
  • Next: Purple band at 15,000 — 3,252 to go
  • Reached: Blue band · Light 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.GGPataPREMIER11,748 · Blue bandcsdb.gg/stats

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Performance scores

Aim51
Positioning56
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY55–38–7Last 10055%Win rateWWLWLWLWLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +2.7pp headshot accuracy · −63ms reaction

Win rate +10pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 673ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 672ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 703ms

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.

Aim5.1
Utility5.5
Positioning5.6
Opening Duels3.8
Clutch4.6

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

m0NESY

Plays most like m0NESY 76% 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. 667ms 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

Aim5.1
Positioning5.6
Utility5.5
Mechanics6.1
Opening Duels4.6
Win Impact6.7

Composite 5.2/10 (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-0.02−0.05
first ⅓ avg 0.03 → last ⅓ avg -0.02
Reaction time673ms−9ms
first ⅓ avg 681ms → last ⅓ avg 673ms
Headshot accuracy16.1%−4.2%
first ⅓ avg 20.3% → last ⅓ avg 16.1%

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

0.17Best match rating · 9–3 · inferno, 1 Nov →
35%Best headshot accuracy · 9–6 · inferno, 30 Oct →
453msFastest reaction time · 8–13 · anubis, 2 Nov →
13–1Biggest win · nuke, 4 Nov →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W2Current streak
6–4In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 73% over 11mirageWeakest map · 41% over 17
MapGradePlayedRecordWin rateAvg rating
mirageC177–1041%-0.02
infernoA169–756%0.03
nukeA169–756%0.01
dust2A138–562%-0.00
cacheA138–562%0.02
anubisS118–373%0.01
ancientB105–550%0.02
office—30–30%0.02
overpass—11–0100%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (41% over 17). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

152Matches
49%Win rate
1.31Avg K/D
64.2ADR
34%Headshot %

Clutches & streaks

43%1v1 clutch win
12%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3100%1.0014.0
Dust2250%0.7210.0
Anubis20%0.7411.0
Nuke10%0.8012.0
Inferno10%0.7311.0

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.

16.0%Headshot accuracy
30.8%Accuracy (enemy spotted)
29.8%Spray accuracy
77.3%Counter-strafing
8.3°Preaim
667msReaction time
50.2%T opening success
46.8%CT opening success
0.52Enemies flashed / flash
3.7%Flash assists
10.56HE damage / grenade
8.78Flashes / match

Recommended for you

Spend your practice time on Mirage

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

41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–8-0.0511%4 Nov →
inferno16–12-0.0312%4 Nov →
nuke10–13-0.066%4 Nov →
inferno13–50.0317%4 Nov →
dust28–130.0428%4 Nov →
nuke13–1-0.0024%4 Nov →
mirage11–130.0119%4 Nov →
nuke13–10.0218%4 Nov →
ancient13–16-0.0311%4 Nov →
ancient13–30.0410%4 Nov →
cache2–90.0311%4 Nov →
mirage7–13-0.1016%4 Nov →
cache13–3-0.0012%4 Nov →
dust213–9-0.0425%4 Nov →
nuke3–13-0.1022%4 Nov →
anubis13–7-0.0013%4 Nov →
ancient9–13-0.034%3 Nov →
anubis13–30.055%3 Nov →
mirage9–13-0.077%3 Nov →
mirage13–110.0215%3 Nov →
cache13–8-0.0320%3 Nov →
mirage8–13-0.0928%3 Nov →
inferno15–15-0.0414%3 Nov →
mirage14–16-0.008%3 Nov →
cache13–30.0332%3 Nov →
dust24–13-0.0423%3 Nov →
anubis13–10-0.0327%3 Nov →
inferno13–50.0710%3 Nov →
inferno13–90.0117%3 Nov →
nuke5–130.0027%3 Nov →
anubis13–10-0.0116%3 Nov →
inferno6–13-0.0510%3 Nov →
mirage8–13-0.0517%3 Nov →
dust25–13-0.058%3 Nov →
nuke16–14-0.028%2 Nov →
anubis13–50.0515%2 Nov →
cache13–110.0516%2 Nov →
dust213–70.1022%2 Nov →
inferno13–70.0229%2 Nov →
cache13–40.0415%2 Nov →
ancient10–13-0.0121%2 Nov →
cache13–80.0124%2 Nov →
anubis13–40.0214%2 Nov →
mirage14–160.0218%2 Nov →
anubis8–130.0021%2 Nov →
mirage11–13-0.0225%2 Nov →
mirage13–90.0220%2 Nov →
cache3–110.0526%1 Nov →
ancient13–10-0.0516%1 Nov →
inferno8–130.0217%1 Nov →
cache10–13-0.0415%1 Nov →
dust26–13-0.0318%1 Nov →
ancient7–13-0.0016%1 Nov →
dust213–7-0.0128%1 Nov →
nuke13–110.0818%1 Nov →
nuke3–13-0.0310%1 Nov →
office12–120.0316%1 Nov →
office12–120.1618%1 Nov →
office2–13-0.139%1 Nov →
anubis13–60.0221%1 Nov →
ancient13–30.0813%1 Nov →
cache10–130.0614%1 Nov →
inferno8–8-0.0813%1 Nov →
inferno9–30.1727%1 Nov →
mirage16–14-0.0518%31 Oct →
dust213–80.0020%31 Oct →
anubis10–13-0.0122%31 Oct →
nuke6–13-0.0124%31 Oct →
mirage13–2-0.0313%31 Oct →
dust29–130.0133%31 Oct →
dust213–60.0326%31 Oct →
cache4–13-0.0124%31 Oct →
nuke7–13-0.0711%31 Oct →
inferno5–13-0.0116%31 Oct →
inferno9–50.0827%31 Oct →
nuke9–60.1021%31 Oct →
inferno8–80.0923%31 Oct →
inferno9–70.0914%31 Oct →
ancient6–130.0429%31 Oct →
dust213–10-0.0324%31 Oct →
mirage13–60.0218%31 Oct →
nuke13–10.0719%31 Oct →
cache13–20.0424%31 Oct →
nuke9–50.0525%31 Oct →
overpass9–6-0.014%31 Oct →
inferno15–150.0132%31 Oct →
dust213–60.0125%31 Oct →
ancient13–70.0121%31 Oct →
anubis13–10.0915%31 Oct →
ancient13–10.0918%31 Oct →
dust213–70.028%30 Oct →
inferno9–60.1735%30 Oct →
mirage13–20.1323%30 Oct →
nuke9–00.0722%30 Oct →
nuke13–30.0417%30 Oct →
mirage7–13-0.0213%30 Oct →
anubis8–13-0.0715%30 Oct →
cache13–10.0617%30 Oct →
mirage10–13-0.0319%30 Oct →
nuke8–8-0.0214%30 Oct →

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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