Patch[G]

Patch[G] — CS2 Stats

76561197967484271[U:1:7218543]Steam profile ↗✓ No bans

442Tracked matches50%Win rate2021Tracked since
CSDB Rating3.4 Learning
Premier CS Rating16,505Purple band · top ~22.4% of ranked players (population est.)
CSDB Leaderboard#10919 of 18299 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGPatch[G]FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER16,505 · Purple bandcsdb.gg/stats

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Performance scores

Aim48
Positioning27
Utility11

0–100 skill scores via Leetify.

Recent form

HOT53434Last 10053%Win rateWWLLWWWWWL

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

Aim4.8
Aggression0.6
Utility1.1
Positioning2.7
Opening Duels0.0
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.

Your pro match

NiKo

Plays most like NiKo 61% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 32% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 599ms 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

Aim4.8
Positioning2.7
Utility1.1
Mechanics4.6
Opening Duels0.2
Win Impact5.0

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time607ms−13ms
first ⅓ avg 620ms → last ⅓ avg 607ms
Headshot accuracy14.7%−3.8%
first ⅓ avg 18.6% → last ⅓ avg 14.7%

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.

Highlights

0.12Best rating — mirage 13–7
132Biggest win — dust2
5Longest win streak
W2Current streak
1111In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 68% over 22mirageWeakest map · 13% over 16
MapGradePlayedRecordWin rateAvg rating
dust2A27161159%-0.02
infernoS2215768%-0.01
mirageD1621413%-0.04
cacheS96367%-0.02
nukeA95456%-0.01
ancientB84450%-0.01
overpassB63350%-0.05
train21150%0.06
anubis110100%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (13% over 16). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

30Matches
47%Win rate
0.86Avg K/D
68.2ADR
42%Headshot %

Clutches & streaks

43%1v1 clutch win
25%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno650%0.7815.0
Ancient450%1.0415.5
Anubis425%0.7911.0
Dust2450%0.8215.8
Vertigo333%0.8213.7
Nuke367%1.0313.7
Mirage10%0.9416.0

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.

14.3%Headshot accuracy
29.5%Accuracy (enemy spotted)
32.9%Spray accuracy
70.8%Counter-strafing
9.1°Preaim
599msReaction time
15.2%T opening success
31.8%CT opening success
0.26Enemies flashed / flash
0.0%Flash assists
8.04HE damage / grenade
0.33Flashes / 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 14.3376% — 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 0.2559 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 15.2255% — below the 40% mark we flag

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.

13% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.0511%25 Aug
cache13–5-0.0111%19 Aug
cache11–130.0113%19 Aug
mirage6–13-0.039%19 Aug
inferno13–7-0.0510%15 Aug
dust213–90.0122%14 Aug
anubis13–11-0.0614%14 Aug
cache13–11-0.0413%14 Aug
inferno13–11-0.0416%13 Aug
dust23–13-0.0412%12 Aug
nuke7–13-0.057%12 Aug
dust213–40.0717%8 Aug
dust216–12-0.0613%8 Aug
cache13–6-0.0629%8 Aug
ancient10–13-0.0515%8 Aug
nuke13–10-0.0316%8 Aug
cache8–13-0.0315%7 Aug
mirage10–13-0.0315%7 Aug
mirage14–16-0.0116%6 Aug
ancient13–60.0127%5 Aug
inferno3–13-0.0517%5 Aug
mirage4–13-0.1215%4 Aug
ancient1–5-0.0322%4 Aug
dust27–13-0.0513%3 Aug
cache13–9-0.0210%3 Aug
dust213–110.0720%2 Aug
inferno13–40.079%1 Aug
overpass14–16-0.0713%5 Jul
inferno9–13-0.037%4 Jul
mirage10–13-0.049%2 Jul
dust213–9-0.079%1 Jul
dust215–150.0929%30 Jun
inferno13–60.0012%28 Jun
nuke16–12-0.0214%23 Jun
inferno10–130.0322%20 Jun
mirage14–16-0.0320%13 Jun
inferno13–10-0.0314%13 Jun
dust213–11-0.0412%12 Jun
mirage5–13-0.0215%12 Jun
mirage13–11-0.0142%9 Jun
dust213–70.0123%9 Jun
overpass4–13-0.0226%6 Jun
ancient1–8-0.0920%5 Jun
nuke2–00.000%5 Jun
inferno2–13-0.097%5 Jun
nuke13–11-0.0231%4 Jun
ancient13–90.0119%2 Jun
dust213–6-0.0316%1 Jun
nuke13–40.079%31 May
cache10–130.0211%28 May
cache13–5-0.0722%28 May
mirage5–13-0.1117%25 May
mirage8–13-0.0715%25 May
ancient14–16-0.0210%23 May
dust26–13-0.0819%23 May
dust29–13-0.0717%23 May
overpass16–12-0.0821%22 May
mirage11–13-0.0222%22 May
overpass13–7-0.0320%13 May
dust27–13-0.1016%13 May
dust27–13-0.0817%9 May
ancient13–40.0824%9 May
dust213–20.0127%9 May
inferno11–13-0.0118%9 May
cache13–5-0.0214%8 May
inferno13–5-0.0219%6 May
dust213–80.0119%5 May
train13–30.1121%4 May
mirage13–70.1217%4 May
mirage12–12-0.049%3 May
train11–130.0117%2 May
mirage5–13-0.037%1 May
nuke10–13-0.0125%27 Apr
dust213–50.0521%26 Apr
inferno16–14-0.0217%21 Apr
dust210–13-0.0313%21 Apr
inferno12–12-0.0113%20 Apr
dust213–10-0.0622%17 Apr
mirage12–16-0.048%8 Apr
dust216–14-0.0114%7 Apr
inferno13–10-0.0418%7 Apr
dust213–50.0722%3 Apr
inferno13–10-0.0321%28 Mar
inferno13–7-0.0229%28 Mar
dust28–13-0.0311%28 Mar
nuke11–13-0.0538%12 Mar
overpass11–13-0.0217%12 Mar
dust213–8-0.0423%12 Mar
inferno16–130.0613%1 Mar
overpass13–8-0.0617%1 Mar
ancient13–3-0.017%23 Feb
inferno16–13-0.0021%23 Feb
nuke6–130.0127%23 Feb
inferno13–70.0323%23 Feb
mirage12–12-0.1110%23 Feb
dust211–13-0.0432%23 Feb
dust26–13-0.0122%15 Feb
inferno10–130.0015%8 Feb
dust216–13-0.0328%6 Feb
inferno13–7-0.0016%6 Feb

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →