Rod

Rod — CS2 Stats

PT76561198007565915[U:1:47300187]Steam profile ↗✓ No bans

561Tracked matches57%Win rate2020Tracked since
CSDB Rating5.8 SolidClutch Specialist
Ladder ranks via Leetify

Rating over time

15,731Peak Premier in tracked matches
46Days played since 2024-08-03

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

Performance scores

Aim68
Positioning37
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY62–28–10Last 10062%Win rateLWWLLTWWWL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −0.5pp headshot accuracy · +75ms 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 -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 751ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 737ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 699ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.9 against its own average).

Aim6.8
Utility4.4
Positioning3.7
Opening Duels2.2
Clutch6.0

Excellent counter-strafing

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

ZywOo

Plays most like ZywOo 94% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

Strengths

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Reaction time. 707ms 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

Aim6.8
Positioning3.7
Utility4.4
Mechanics9.4
Opening Duels1.7
Win Impact7.4

Composite 5.8/10 (Solid), 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 rating0.02−0.04
first ⅓ avg 0.05 → last ⅓ avg 0.02
Reaction time702ms+61ms
first ⅓ avg 641ms → last ⅓ avg 702ms
Headshot accuracy19.3%−0.6%
first ⅓ avg 19.9% → last ⅓ avg 19.3%

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

0.26Best match rating · 13–3 · vertigo, 4 Aug →
42%Best headshot accuracy · 2–13 · mirage, 8 Sept →
461msFastest reaction time · 13–5 · inferno, 24 Aug →
13–0Biggest win · vertigo, 2 May →

Across the last 100 tracked matches.

Highlights

14Longest win streak
5–5In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 80% over 5ancientWeakest map · 50% over 8
MapGradePlayedRecordWin rateAvg rating
mirageS2317–674%0.03
dust2A2212–1055%0.04
infernoA1710–759%0.02
nukeS96–367%0.04
vertigoA95–456%0.08
ancientB84–450%0.02
cacheS54–180%-0.00
train—32–167%0.02
anubis—21–150%0.04
overpass—11–0100%-0.02
mills—10–10%0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (50% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

427Matches
53%Win rate
1.17Avg K/D
74.2ADR
36%Headshot %

Clutches & streaks

50%1v1 clutch win
17%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno520%0.8312.4
Dust230%0.7213.0
Mirage1100%1.0924.0
Nuke10%0.9018.0

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.

19.6%Headshot accuracy
36.5%Accuracy (enemy spotted)
36.3%Spray accuracy
92.1%Counter-strafing
11.2°Preaim
707msReaction time
35.0%T opening success
38.9%CT opening success
0.56Enemies flashed / flash
8.3%Flash assists
10.27HE damage / grenade
11.71Flashes / 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 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 707.1056ms — above the 700ms mark we flag

    Aim Training →
  2. 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 35.0428% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
nuke11–130.0113%17 Jun →
cache13–5-0.0118%8 Jun →
cache13–50.0024%14 May →
inferno8–13-0.0423%14 May →
dust28–13-0.0211%6 May →
mirage15–150.0416%5 May →
cache13–70.0526%5 May →
mirage13–100.1121%3 May →
dust213–50.0918%3 May →
inferno4–13-0.0417%3 May →
vertigo13–00.0222%2 May →
overpass13–10-0.0213%2 May →
inferno7–130.0219%1 May →
cache1–13-0.069%1 May →
cache13–4-0.0110%30 Apr →
train13–90.0120%24 Nov →
dust21–13-0.0023%24 Nov →
train2–130.0531%15 Nov →
train13–70.0123%14 Nov →
nuke13–110.0522%10 Nov →
mirage3–130.0216%10 Nov →
mirage2–130.0320%14 Sept →
nuke13–100.0726%11 Sept →
dust212–12-0.0011%11 Sept →
ancient13–10.0419%10 Sept →
mirage13–70.0026%10 Sept →
ancient13–60.0522%9 Sept →
mirage2–13-0.0542%8 Sept →
ancient9–13-0.0422%6 Sept →
anubis6–20.1513%6 Sept →
dust213–70.028%5 Sept →
inferno8–13-0.0421%4 Sept →
nuke13–70.0016%4 Sept →
vertigo6–130.0621%4 Sept →
dust213–60.0836%3 Sept →
inferno12–12-0.0424%2 Sept →
dust22–80.025%2 Sept →
vertigo11–130.0820%2 Sept →
dust213–100.0325%2 Sept →
ancient12–120.0918%1 Sept →
mirage13–8-0.0421%1 Sept →
inferno11–13-0.0114%1 Sept →
vertigo13–20.1926%31 Aug →
dust212–120.0119%30 Aug →
mirage13–60.0514%30 Aug →
vertigo8–13-0.0114%26 Aug →
nuke11–130.0118%26 Aug →
dust213–7-0.0022%25 Aug →
nuke13–4-0.0124%25 Aug →
mirage13–8-0.0010%24 Aug →
inferno13–50.0624%24 Aug →
ancient13–20.0016%24 Aug →
mirage13–5-0.0210%23 Aug →
nuke12–120.1113%22 Aug →
mirage13–60.0217%22 Aug →
dust213–60.0332%22 Aug →
dust24–13-0.0317%19 Aug →
mirage13–40.0533%19 Aug →
inferno8–13-0.0126%19 Aug →
inferno13–10.1624%17 Aug →
vertigo11–1-0.038%17 Aug →
mirage13–5-0.0013%17 Aug →
inferno13–90.0116%16 Aug →
dust213–50.1029%14 Aug →
mirage13–6-0.0116%14 Aug →
inferno13–11-0.0226%14 Aug →
mirage13–80.1525%14 Aug →
dust213–20.0728%14 Aug →
nuke13–100.088%13 Aug →
inferno13–2-0.0433%13 Aug →
vertigo13–110.0619%12 Aug →
mirage13–110.1322%12 Aug →
mirage16–140.0835%12 Aug →
ancient12–12-0.049%12 Aug →
dust210–130.0217%11 Aug →
mirage13–80.0322%11 Aug →
inferno13–8-0.0514%11 Aug →
anubis2–13-0.0726%11 Aug →
dust212–120.0820%10 Aug →
mirage7–130.0620%10 Aug →
inferno13–7-0.0215%9 Aug →
dust213–20.1329%9 Aug →
ancient13–90.038%9 Aug →
mirage13–40.0918%8 Aug →
dust28–130.0916%8 Aug →
inferno13–90.1928%7 Aug →
dust211–13-0.0517%7 Aug →
mirage10–13-0.0519%7 Aug →
vertigo12–120.0713%6 Aug →
inferno13–10-0.0116%6 Aug →
mills9–130.0618%5 Aug →
mirage13–3-0.0015%5 Aug →
dust213–70.0315%5 Aug →
dust213–10.1028%5 Aug →
ancient12–120.0518%4 Aug →
inferno13–90.1528%4 Aug →
mirage13–20.0116%4 Aug →
vertigo13–30.2622%4 Aug →
dust213–40.0925%4 Aug →
nuke13–50.0821%3 Aug →

Match data via Leetify.

Recent teammates

Milestones

500 Matches14-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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