Rigatony

Rigatony — CS2 Stats

US76561198080284424[U:1:120018696]Steam profile ↗✓ No bans

88Tracked matches46%Win rate2024Tracked since
84Hours in CS
CSDB Rating1.3 LearningPositional Player
Ladder ranks via Leetify

Performance scores

Aim5
Positioning14
Utility3

0–100 skill scores via Leetify.

Recent form

STEADY40–43–5Last 8845%Win rateWLLWLWWWLL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −2.9pp headshot accuracy · −51ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.09
  • Avg headshot accuracy 10%
  • Avg reaction 722ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 8%
  • Avg reaction 777ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 10%
  • Avg reaction 802ms

Newest first, from the last 88 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).

Aim0.5
Utility0.3
Positioning1.4
Opening Duels0.0

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 75% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 768ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim0.5
Positioning1.4
Utility0.3
Mechanics3.2
Opening Duels0.0
Win Impact3.8

Composite 1.3/10 (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-0.09+0.01
first ⅓ avg -0.11 → last ⅓ avg -0.09
Reaction time778ms−46ms
first ⅓ avg 824ms → last ⅓ avg 778ms
Headshot accuracy11.1%+4.4%
first ⅓ avg 6.6% → last ⅓ avg 11.1%

Rolling 5-match average across the last 88 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.01Best match rating · 13–6 · dust2, 11 Mar →
40%Best headshot accuracy · 13–0 · dust2, 23 Oct →
484msFastest reaction time · 13–6 · basalt, 16 Nov →
13–0Biggest win · dust2, 23 Oct →

Across the last 88 tracked matches.

Highlights

7Longest win streak
8–5In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 60% over 5overpassWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B179–853%-0.09
mirageB137–654%-0.10
nukeC94–544%-0.11
trainA95–456%-0.09
infernoA74–357%-0.10
vertigoD72–529%-0.11
overpassD60–60%-0.13
ancientA53–260%-0.09
cache—42–250%-0.06
office—31–233%-0.11
basalt—32–167%-0.09
anubis—31–233%-0.10
edin—10–10%-0.10
italy—10–10%-0.11

Across the last 88 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

3,576Lifetime kills
0.54K/D
417Matches
20.4%Match win rate
28.7%Headshot %
1.2%Shot accuracy
125MVPs
84Hours (in match)
159Bombs planted
11Bombs defused

Most-used weapons

Lifetime map wins

478dust2
217vertigo
113inferno
102nuke
94train
31office
28dust
26ar_shoots

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

Skill profile

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

11.3%Headshot accuracy
18.8%Accuracy (enemy spotted)
13.3%Spray accuracy
64.3%Counter-strafing
10.8°Preaim
768msReaction time
3.8%T opening success
8.8%CT opening success
0.06Enemies flashed / flash
0.0%Flash assists
2.05HE damage / grenade
0.17Flashes / 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 11.287% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Sustained sprays are missing more than they land, which is a recoil-control pattern you can drill directly.

    Spray accuracy 13.3236% — below the 20% mark we flag

    Practice Config →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 767.7801ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Overpass

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

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–11-0.117%31 May →
cache11–13-0.068%31 May →
cache7–13-0.1215%31 May →
dust213–1-0.0711%12 May →
nuke3–13-0.1010%12 May →
cache13–8-0.055%12 May →
cache2–00.000%12 May →
dust213–60.0110%11 Mar →
overpass6–13-0.087%11 Mar →
office8–13-0.127%11 Mar →
train1–13-0.086%22 Nov →
train13–7-0.1217%22 Nov →
train11–4-0.0613%22 Nov →
basalt6–13-0.099%16 Nov →
train13–6-0.0923%16 Nov →
basalt13–6-0.090%16 Nov →
train8–13-0.1317%16 Nov →
train10–13-0.1112%15 Nov →
basalt13–5-0.099%15 Nov →
train13–7-0.064%15 Nov →
train13–3-0.0615%15 Nov →
edin4–13-0.1010%14 Nov →
train12–12-0.0910%14 Nov →
inferno10–13-0.1318%10 Nov →
dust26–13-0.0813%10 Nov →
mirage10–13-0.1425%9 Nov →
overpass9–13-0.1616%9 Nov →
mirage12–12-0.104%8 Nov →
dust211–13-0.1520%8 Nov →
mirage13–9-0.095%3 Nov →
nuke13–11-0.078%29 Oct →
overpass2–13-0.110%28 Oct →
dust24–13-0.0933%27 Oct →
dust213–6-0.0011%27 Oct →
vertigo13–11-0.0916%26 Oct →
mirage13–9-0.083%26 Oct →
dust28–13-0.0523%25 Oct →
inferno13–6-0.078%25 Oct →
vertigo7–13-0.090%24 Oct →
dust213–9-0.1121%23 Oct →
anubis4–13-0.1112%23 Oct →
overpass5–13-0.139%23 Oct →
dust213–10-0.097%23 Oct →
dust213–0-0.1140%23 Oct →
mirage7–13-0.1511%23 Oct →
ancient8–13-0.0613%20 Oct →
vertigo10–13-0.0926%20 Oct →
nuke2–13-0.1011%6 Oct →
dust29–13-0.1310%6 Oct →
inferno13–7-0.0521%6 Oct →
italy12–12-0.1110%6 Oct →
ancient5–13-0.1310%26 Sept →
anubis11–13-0.125%25 Sept →
vertigo4–13-0.0731%25 Sept →
mirage0–13-0.0914%22 Sept →
mirage6–3-0.120%14 Sept →
ancient13–5-0.0711%14 Sept →
vertigo8–13-0.1410%3 Sept →
office6–13-0.0815%31 Aug →
dust27–13-0.1410%20 Aug →
vertigo2–13-0.130%20 Aug →
overpass12–12-0.123%19 Aug →
inferno11–13-0.0813%19 Aug →
ancient13–6-0.0613%17 Aug →
ancient13–8-0.1110%17 Aug →
nuke11–13-0.1324%17 Aug →
mirage2–13-0.086%17 Aug →
vertigo13–10-0.1414%17 Aug →
inferno9–13-0.157%17 Aug →
inferno13–11-0.096%17 Aug →
dust213–11-0.0819%17 Aug →
dust213–5-0.096%17 Aug →
office13–4-0.127%17 Aug →
mirage13–2-0.064%17 Aug →
mirage7–1-0.010%17 Aug →
nuke13–4-0.078%16 Aug →
nuke12–12-0.1518%10 Aug →
dust213–10-0.106%9 Aug →
mirage13–8-0.084%9 Aug →
nuke7–13-0.187%9 Aug →
dust24–13-0.130%7 Aug →
overpass0–9-0.200%3 Aug →
mirage3–13-0.130%21 Jul →
nuke9–0-0.158%20 Jul →
anubis13–7-0.070%20 Jul →
inferno13–11-0.140%19 Jul →
dust27–13-0.080%19 Jul →
nuke2–00.000%19 Jul →

Match data via Leetify.

Recent teammates

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

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