RedO

RedO — CS2 Stats

NO76561199043165850[U:1:1082900122]Steam profile ↗✓ No bans

580Tracked matches52%Win rate2026Tracked since
CSDB Rating2.8 LearningPositional Player
Ladder ranks via Leetify

Performance scores

Aim19
Positioning37
Utility14

0–100 skill scores via Leetify.

Recent form

STEADY58–38–4Last 10058%Win rateLWWLLWWLWL

Last 10 vs previous 10: +10pp win rate · −0.05 avg rating · +1.7pp headshot accuracy · −0ms 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 -0.06
  • Avg headshot accuracy 9%
  • Avg reaction 723ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 11%
  • Avg reaction 735ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 735ms

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 (+2 against its own average).

Aim1.9
Utility1.4
Positioning3.7
Opening Duels0.0

Strong CT-side openerLimited 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

Twistzz

Plays most like Twistzz 75% 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

T-side openings. Opening success drops from 46% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 720ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim1.9
Positioning3.7
Utility1.4
Mechanics3.5
Opening Duels2.0
Win Impact5.6

Composite 2.8/10 (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-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time729ms+12ms
first ⅓ avg 716ms → last ⅓ avg 729ms
Headshot accuracy10.7%+2.8%
first ⅓ avg 7.9% → last ⅓ avg 10.7%

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

0.10Best match rating · 13–10 · mirage, 21 Oct →
31%Best headshot accuracy · 4–13 · dust2, 18 Oct →
461msFastest reaction time · 6–13 · dust2, 26 Oct →
13–1Biggest win · nuke, 1 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak

Map breakdown

mirageBest map · 60% over 10infernoWeakest map · 47% over 19
MapGradePlayedRecordWin rateAvg rating
dust2A4928–2157%-0.03
infernoB199–1047%-0.03
mirageA106–460%-0.04
ancientA95–456%-0.05
nuke—44–0100%0.01
anubis—33–0100%-0.06
overpass—22–0100%-0.04
cache—20–20%-0.08
train—21–150%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (47% over 19). Start with the 6 essential Inferno 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.

10.7%Headshot accuracy
26.6%Accuracy (enemy spotted)
25.1%Spray accuracy
65.9%Counter-strafing
9.3°Preaim
720msReaction time
16.5%T opening success
45.9%CT opening success
0.39Enemies flashed / flash
2.2%Flash assists
5.54HE damage / grenade
1.95Flashes / 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 10.6865% — below the 15% mark we flag

    Aim Training →
  2. 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 719.8627ms — above the 700ms mark we flag

    Aim Training →
  3. 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 0.3855 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

47% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.1313%3 Nov →
anubis13–3-0.035%3 Nov →
inferno13–9-0.043%3 Nov →
inferno9–13-0.0317%2 Nov →
inferno5–13-0.096%2 Nov →
overpass13–9-0.0410%2 Nov →
dust213–10-0.0725%2 Nov →
cache5–13-0.0913%2 Nov →
dust213–7-0.0413%2 Nov →
dust28–13-0.109%2 Nov →
dust26–13-0.0723%2 Nov →
dust26–13-0.085%1 Nov →
nuke13–10.063%1 Nov →
dust24–13-0.053%31 Oct →
inferno8–130.017%31 Oct →
inferno6–13-0.077%31 Oct →
inferno13–70.018%31 Oct →
dust213–3-0.0114%31 Oct →
dust212–12-0.0016%31 Oct →
inferno13–50.0311%27 Oct →
dust26–13-0.0612%26 Oct →
dust211–13-0.039%26 Oct →
dust213–6-0.0210%26 Oct →
dust213–10-0.093%26 Oct →
dust28–13-0.049%26 Oct →
dust213–30.0513%26 Oct →
dust22–13-0.107%26 Oct →
ancient9–0-0.0120%26 Oct →
dust213–50.0813%26 Oct →
dust213–8-0.0513%26 Oct →
dust25–13-0.0310%25 Oct →
dust212–12-0.0114%25 Oct →
train13–11-0.079%25 Oct →
cache7–13-0.0817%25 Oct →
ancient7–13-0.0615%25 Oct →
anubis13–8-0.0610%25 Oct →
dust213–6-0.026%25 Oct →
mirage13–40.007%24 Oct →
anubis13–6-0.113%24 Oct →
dust21–13-0.0714%24 Oct →
mirage13–10-0.039%24 Oct →
overpass13–6-0.0412%24 Oct →
inferno13–60.0110%24 Oct →
dust213–7-0.079%24 Oct →
dust213–40.0117%23 Oct →
inferno10–13-0.0114%23 Oct →
dust213–5-0.080%23 Oct →
dust213–8-0.064%23 Oct →
dust26–9-0.0317%22 Oct →
dust213–6-0.0111%22 Oct →
ancient13–10-0.062%22 Oct →
dust213–20.0113%22 Oct →
inferno9–13-0.064%22 Oct →
dust210–13-0.058%22 Oct →
dust213–10-0.0212%22 Oct →
dust24–00.0429%22 Oct →
dust20–3-0.010%22 Oct →
dust210–13-0.0710%21 Oct →
inferno13–10.0411%21 Oct →
mirage13–7-0.105%21 Oct →
inferno8–13-0.0310%21 Oct →
mirage13–100.107%21 Oct →
mirage1–13-0.086%21 Oct →
dust213–70.046%21 Oct →
dust213–6-0.046%21 Oct →
inferno8–13-0.017%21 Oct →
inferno13–4-0.053%21 Oct →
inferno8–13-0.059%20 Oct →
dust213–60.048%20 Oct →
mirage9–2-0.050%20 Oct →
dust213–2-0.0216%20 Oct →
dust213–80.038%20 Oct →
dust213–40.017%20 Oct →
inferno13–7-0.088%19 Oct →
ancient6–13-0.0711%19 Oct →
dust210–130.044%19 Oct →
nuke13–10-0.028%19 Oct →
ancient13–50.013%19 Oct →
ancient4–1-0.080%19 Oct →
inferno13–8-0.104%19 Oct →
mirage10–13-0.035%19 Oct →
ancient13–6-0.063%19 Oct →
nuke13–100.0511%19 Oct →
inferno13–2-0.0112%19 Oct →
dust213–7-0.050%19 Oct →
dust213–5-0.017%18 Oct →
mirage12–12-0.077%18 Oct →
mirage13–4-0.068%18 Oct →
dust213–6-0.009%18 Oct →
mirage9–13-0.038%18 Oct →
ancient6–13-0.047%18 Oct →
dust212–120.0410%18 Oct →
dust212–2-0.010%18 Oct →
dust24–13-0.0931%18 Oct →
dust21–13-0.135%17 Oct →
dust213–110.0210%17 Oct →
ancient8–13-0.115%17 Oct →
inferno1–120.0213%16 Oct →
nuke13–3-0.0515%16 Oct →
train3–8-0.028%16 Oct →

Match data via Leetify.

Recent teammates

Milestones

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

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