rat?

rat? — CS2 Stats

76561199042834705[U:1:1082568977]Steam profile ↗✓ No bans

1,097Tracked matches60%Win rate2022Tracked since
CSDB Rating4.8 DevelopingPositional Player
WingmanGold Nova III
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 6,971 +1,706 13 Nov – 15 Jan · 22 days played
5,2658,133peak 8,13313 Nov15 Jan
8,133Peak Premier in tracked matches
38Days played since 2025-11-13

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

Performance scores

Aim42
Positioning53
Utility36

0–100 skill scores via Leetify.

Recent form

COLD46–45–9Last 10046%Win rateLLLWLLLTLW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +5.0pp headshot accuracy · +68ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 706ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 705ms

Last 20

  • 4–11–5 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 671ms

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: Positional Player — Positioning stands above the rest of this profile (+0.8 against its own average).

Aim4.2
Utility3.6
Positioning5.3
Opening Duels4.5

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

device

Plays most like device 78% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 699ms 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

Aim4.2
Positioning5.3
Utility3.6
Mechanics5.0
Opening Duels3.3
Win Impact8.3

Composite 4.8/10 (Developing), 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-0.05−0.06
first ⅓ avg 0.02 → last ⅓ avg -0.05
Reaction time657ms−55ms
first ⅓ avg 712ms → last ⅓ avg 657ms
Headshot accuracy13.7%−3.4%
first ⅓ avg 17.2% → last ⅓ avg 13.7%

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.

Personal bests

0.21Best match rating · 9–4 · rooftop, 31 Dec →
35%Best headshot accuracy · 13–2 · overpass, 20 Nov →
438msFastest reaction time · 3–9 · inferno, 17 Dec →
13–2Biggest win · dust2, 2 Jan →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
7–10In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 100% over 7mirageWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoC2810–1836%-0.04
nukeB168–850%-0.01
vertigoB115–645%0.00
dust2B105–550%-0.01
mirageD92–722%0.01
ancientS77–0100%0.02
overpassD62–433%-0.03
rooftop—33–0100%0.13
anubis—22–0100%0.05
sanctum—21–150%-0.02
poseidon—20–20%-0.10
office—10–10%-0.05
eldorado—10–10%0.03
debris—10–10%-0.09
train—11–0100%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (22% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.1%Headshot accuracy
35.5%Accuracy (enemy spotted)
38.3%Spray accuracy
72.6%Counter-strafing
12.3°Preaim
699msReaction time
36.4%T opening success
50.1%CT opening success
0.52Enemies flashed / flash
8.2%Flash assists
10.48HE damage / grenade
4.18Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.3328° — above the 12° mark we flag

    Aim Training →
  2. 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 14.0754% — below the 15% mark we flag

    Aim Training →
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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo7–9-0.136%24 Oct →
vertigo4–9-0.0330%24 Oct →
inferno5–9-0.0313%24 Oct →
inferno9–10.0813%24 Oct →
vertigo1–7-0.0718%10 Oct →
inferno3–9-0.079%10 Oct →
office1–13-0.0525%3 Oct →
vertigo8–80.1427%3 Oct →
inferno4–9-0.0717%3 Oct →
inferno9–6-0.0030%3 Oct →
nuke5–9-0.075%12 Sept →
inferno7–9-0.1110%22 Aug →
eldorado8–80.0312%22 Aug →
vertigo9–70.0719%22 Aug →
inferno9–30.1816%22 Aug →
debris6–9-0.097%22 Aug →
inferno8–80.0017%27 Jun →
vertigo8–8-0.0826%27 Jun →
inferno7–90.0111%27 Jun →
inferno8–8-0.2013%27 Jun →
inferno5–9-0.080%27 Jun →
nuke5–9-0.126%27 Jun →
inferno3–9-0.2224%28 Apr →
inferno4–9-0.0419%28 Apr →
inferno6–9-0.075%2 Apr →
vertigo9–3-0.058%2 Apr →
vertigo7–9-0.134%2 Apr →
overpass5–9-0.1013%2 Apr →
inferno4–9-0.125%2 Apr →
dust25–13-0.0517%6 Mar →
inferno13–60.0310%6 Mar →
ancient13–110.0112%26 Feb →
inferno9–7-0.076%26 Feb →
inferno4–9-0.116%26 Feb →
anubis13–100.0410%20 Feb →
anubis13–70.0717%12 Feb →
sanctum3–9-0.119%3 Feb →
poseidon5–9-0.115%3 Feb →
sanctum9–60.0710%3 Feb →
vertigo9–30.1518%3 Feb →
inferno8–8-0.1315%3 Feb →
poseidon4–9-0.0914%3 Feb →
inferno9–13-0.035%29 Jan →
nuke13–6-0.0233%28 Jan →
dust213–11-0.0015%22 Jan →
ancient13–11-0.0210%15 Jan →
dust26–13-0.066%15 Jan →
overpass9–13-0.0617%9 Jan →
mirage8–13-0.026%8 Jan →
nuke4–13-0.0718%8 Jan →
dust213–20.008%2 Jan →
ancient13–50.054%2 Jan →
nuke13–50.0511%1 Jan →
inferno3–50.0329%1 Jan →
inferno9–60.0113%31 Dec →
nuke2–9-0.125%31 Dec →
vertigo9–50.038%31 Dec →
inferno9–30.0117%31 Dec →
rooftop9–40.2126%31 Dec →
mirage8–13-0.057%31 Dec →
dust216–120.0215%19 Dec →
dust213–90.0819%17 Dec →
inferno3–9-0.1015%17 Dec →
rooftop9–60.0011%17 Dec →
overpass9–5-0.1112%17 Dec →
rooftop9–30.1713%17 Dec →
inferno9–60.1214%17 Dec →
vertigo9–60.1121%17 Dec →
nuke8–8-0.0616%17 Dec →
inferno4–9-0.0918%17 Dec →
nuke12–160.0012%12 Dec →
nuke16–130.0516%12 Dec →
nuke11–13-0.0113%10 Dec →
nuke13–60.0319%10 Dec →
overpass11–130.0721%10 Dec →
ancient13–9-0.0318%8 Dec →
nuke16–130.0911%5 Dec →
nuke13–90.0411%4 Dec →
ancient13–70.0519%4 Dec →
nuke13–110.0512%4 Dec →
mirage15–150.0112%4 Dec →
dust24–13-0.0824%3 Dec →
mirage14–16-0.0224%2 Dec →
mirage13–50.1116%28 Nov →
inferno13–90.0314%26 Nov →
mirage4–130.0028%26 Nov →
nuke13–9-0.0013%21 Nov →
mirage11–130.019%21 Nov →
ancient13–80.0620%20 Nov →
nuke4–130.0016%20 Nov →
dust216–13-0.0218%20 Nov →
overpass13–20.0335%20 Nov →
dust25–80.0525%20 Nov →
mirage16–140.0512%19 Nov →
ancient13–40.0022%19 Nov →
overpass11–130.008%19 Nov →
dust215–15-0.0612%14 Nov →
train13–70.0313%14 Nov →
inferno13–70.028%14 Nov →
mirage6–13-0.0630%13 Nov →

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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