John Rod

John Rod — CS2 Stats

US76561198239878430[U:1:279612702]Steam profile ↗✓ No bans

1,237Tracked matches59%Win rate2023Tracked since
CSDB Rating3.6 LearningPositional Player
Ladder ranks via Leetify

Performance scores

Aim28
Positioning48
Utility15

0–100 skill scores via Leetify.

Recent form

STEADY53–39–8Last 10053%Win rateLWWWWLWTWL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −1.6pp headshot accuracy · −2ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 620ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 638ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 639ms

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 (+2.1 against its own average).

Aim2.8
Utility1.5
Positioning4.8
Opening Duels2.1
Clutch2.6

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

s1mple

Plays most like s1mple 73% 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. 632ms 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

Aim2.8
Positioning4.8
Utility1.5
Mechanics4.8
Opening Duels4.1
Win Impact7.9

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time635ms−8ms
first ⅓ avg 644ms → last ⅓ avg 635ms
Headshot accuracy16.4%+6.3%
first ⅓ avg 10.1% → last ⅓ avg 16.4%

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

0.14Best match rating · 13–4 · nuke, 20 Sept →
42%Best headshot accuracy · 13–3 · fachwerk, 11 Oct →
422msFastest reaction time · 10–13 · inferno, 7 Sept →
13–1Biggest win · nuke, 8 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
4–2In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 61% over 59cacheWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
nukeA5936–2361%-0.02
cacheD123–925%-0.03
shelterA53–260%-0.01
train—42–250%-0.01
rush_001—42–250%-0.08
ancient—31–233%-0.06
vertigo—30–30%-0.04
mirage—21–150%-0.04
office—22–0100%-0.06
boulder—21–150%-0.02
fachwerk—11–0100%-0.07
anubis—10–10%-0.03
inferno—10–10%-0.07
dust2—11–0100%0.00

Across the last 100 tracked matches.

Faceit stats

Combat

15Matches
27%Win rate
0.61Avg K/D
58.1ADR
30%Headshot %

Clutches & streaks

33%1v1 clutch win
25%1v2 clutch win
1Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust2540%0.7613.6
Ancient333%0.365.3
Nuke20%0.428.0
Mirage20%0.488.0
Anubis10%1.0619.0
Inferno1100%1.3615.0
Cache10%0.071.0

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.

15.5%Headshot accuracy
30.0%Accuracy (enemy spotted)
40.4%Spray accuracy
71.7%Counter-strafing
17.1°Preaim
632msReaction time
48.8%T opening success
43.8%CT opening success
0.17Enemies flashed / flash
5.3%Flash assists
5.55HE damage / grenade
0.42Flashes / 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 17.1488° — above the 12° 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 0.1658 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke7–130.0119%15 Oct →
nuke13–8-0.0621%15 Oct →
nuke13–11-0.0412%14 Oct →
fachwerk13–3-0.0742%11 Oct →
shelter13–5-0.026%11 Oct →
train10–13-0.0320%9 Oct →
train13–90.0123%9 Oct →
shelter12–12-0.0514%9 Oct →
nuke13–3-0.042%9 Oct →
nuke10–13-0.0713%8 Oct →
nuke13–10.035%8 Oct →
rush_0018–60.0124%8 Oct →
rush_0018–6-0.1425%3 Oct →
rush_0013–7-0.1413%1 Oct →
rush_0010–4-0.0430%1 Oct →
nuke13–4-0.088%1 Oct →
nuke13–3-0.0423%29 Sept →
ancient13–10-0.0214%27 Sept →
train9–130.0226%27 Sept →
nuke13–2-0.0621%25 Sept →
nuke13–6-0.0115%25 Sept →
cache13–40.0719%25 Sept →
nuke13–20.0313%25 Sept →
nuke10–130.0317%23 Sept →
anubis9–13-0.0310%22 Sept →
cache13–8-0.0016%22 Sept →
vertigo9–13-0.0412%22 Sept →
mirage13–2-0.034%22 Sept →
cache6–13-0.0811%22 Sept →
cache6–13-0.0814%22 Sept →
vertigo3–13-0.0113%22 Sept →
nuke5–12-0.0621%21 Sept →
nuke13–6-0.0418%21 Sept →
nuke8–13-0.0712%21 Sept →
nuke13–40.1426%20 Sept →
nuke10–13-0.118%19 Sept →
nuke12–120.0117%18 Sept →
nuke13–8-0.0512%18 Sept →
nuke5–13-0.0614%18 Sept →
shelter13–90.0012%18 Sept →
nuke13–100.0111%18 Sept →
vertigo3–13-0.0712%17 Sept →
cache1–13-0.0319%17 Sept →
nuke5–13-0.0412%17 Sept →
nuke13–50.0313%17 Sept →
nuke13–80.0413%17 Sept →
nuke13–80.027%16 Sept →
nuke13–5-0.1211%15 Sept →
nuke13–10-0.0712%15 Sept →
nuke3–11-0.039%13 Sept →
cache4–13-0.0311%13 Sept →
cache7–13-0.046%13 Sept →
nuke4–13-0.0810%13 Sept →
ancient9–13-0.0411%12 Sept →
cache12–12-0.0514%12 Sept →
nuke13–20.0719%12 Sept →
cache10–130.0111%11 Sept →
cache3–13-0.0413%11 Sept →
nuke5–13-0.0211%11 Sept →
office11–2-0.0725%8 Sept →
train13–6-0.0511%7 Sept →
inferno10–13-0.0713%7 Sept →
nuke12–120.0116%5 Sept →
nuke13–30.059%5 Sept →
nuke12–120.0511%4 Sept →
nuke13–6-0.0413%4 Sept →
nuke13–4-0.0820%4 Sept →
nuke13–5-0.0123%4 Sept →
nuke13–50.0411%3 Sept →
nuke12–12-0.0814%3 Sept →
cache13–20.0212%3 Sept →
nuke13–9-0.028%2 Sept →
nuke13–60.059%2 Sept →
ancient1–4-0.130%2 Sept →
nuke13–11-0.053%28 Aug →
nuke13–9-0.0412%28 Aug →
nuke13–10.049%24 Aug →
nuke13–7-0.0315%22 Aug →
nuke13–4-0.063%22 Aug →
dust213–90.003%10 Aug →
nuke13–10-0.0210%8 Aug →
nuke13–9-0.052%8 Aug →
nuke11–13-0.027%6 Aug →
nuke7–13-0.008%5 Aug →
nuke10–1-0.0616%27 Jul →
shelter13–30.0618%26 Jul →
nuke10–13-0.0321%24 Jul →
nuke7–13-0.0813%24 Jul →
office13–10-0.068%22 Jul →
nuke13–10-0.0312%22 Jul →
cache8–13-0.0619%21 Jul →
nuke5–13-0.0713%20 Jul →
boulder12–120.016%20 Jul →
boulder13–9-0.060%20 Jul →
mirage7–13-0.054%19 Jul →
nuke8–13-0.028%19 Jul →
nuke12–120.0410%18 Jul →
nuke13–6-0.026%18 Jul →
nuke4–13-0.017%17 Jul →
shelter11–13-0.0522%14 Jul →

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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