John Sharter

John Sharter — CS2 Stats

FI76561198128022384[U:1:167756656]Steam profile ↗✓ No bans

296Tracked matches41%Win rate2023Tracked since
CSDB Rating2.6 LearningPositional Player
Premier CS Rating5,826Light Blue band · top ~74.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Sep 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 41 days played since 17 Mar 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 5,826 -2,702 17 Mar9 Sept · 24 days played
4,5208,620peak 8,62017 Mar9 Sept
8,921Peak Premier in tracked matches
41Days played since 2026-03-17

Premier CS Rating

  • 2,794 below peak (8,620)
  • +1,292 over 90 days
  • Next: Blue band at 10,000 4,174 to go
  • Reached: Light Blue band

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

Share this profile

CSDB.GGJohn SharterPREMIER5,826 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim34
Positioning31
Utility21

0–100 skill scores via Leetify.

Recent form

STEADY37576Last 10037%Win rateLWWLLLWWWT

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −2.8pp headshot accuracy · −48ms 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

  • 23 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 9%
  • Avg reaction 672ms

Last 10

  • 541 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 8%
  • Avg reaction 652ms

Last 20

  • 9101 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 676ms

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 PlayerPositioning stands above the rest of this profile (+1.4 against its own average).

Aim3.4
Utility2.1
Positioning3.1
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

NiKo

Plays most like NiKo 84% 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. 675ms 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

Aim3.4
Positioning3.1
Utility2.1
Mechanics4.9
Opening Duels0.0
Win Impact2.1

Composite 2.6/10 (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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time678ms−68ms
first ⅓ avg 746ms → last ⅓ avg 678ms
Headshot accuracy9.5%−1.0%
first ⅓ avg 10.5% → last ⅓ avg 9.5%

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

0.08Best match rating · 13–5 · nuke, 17 Mar
20%Best headshot accuracy · 13–4 · ancient, 17 Mar
453msFastest reaction time · 1–13 · ancient, 6 Jun
13–3Biggest win · inferno, 24 Aug

Across the last 100 tracked matches.

Highlights

3Longest win streak
56In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 55% over 22mirageWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoD2351822%-0.05
nukeA22121055%-0.01
ancientB2091145%-0.04
cacheD82625%-0.05
dust2C73443%-0.04
overpassC73443%-0.06
anubisD62433%-0.02
mirageD51420%-0.01
train2020%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 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.

9.5%Headshot accuracy
32.2%Accuracy (enemy spotted)
33.8%Spray accuracy
71.9%Counter-strafing
10.8°Preaim
675msReaction time
27.6%T opening success
29.5%CT opening success
0.14Enemies flashed / flash
6.0%Flash assists
10.26HE damage / grenade
0.47Flashes / 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 9.4866% — below the 15% 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 0.1387 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 27.5858% — below the 40% mark we flag

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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke11–13-0.047%9 Sept
inferno13–7-0.025%9 Sept
nuke13–110.0111%9 Sept
cache7–13-0.095%9 Sept
nuke3–13-0.0515%7 Sept
inferno9–13-0.037%28 Aug
dust213–5-0.032%28 Aug
ancient13–10-0.0113%28 Aug
ancient13–6-0.032%28 Aug
nuke15–15-0.0212%28 Aug
anubis4–13-0.0310%28 Aug
ancient4–13-0.0314%27 Aug
nuke13–10-0.0615%27 Aug
nuke7–130.0313%25 Aug
dust21–13-0.039%25 Aug
anubis13–80.026%25 Aug
mirage1–13-0.087%25 Aug
dust213–5-0.0515%25 Aug
inferno13–30.028%24 Aug
nuke10–13-0.0111%24 Aug
anubis8–130.0012%24 Aug
mirage4–13-0.1011%24 Aug
ancient13–80.013%16 Aug
inferno6–13-0.0716%15 Aug
nuke7–130.078%13 Aug
cache11–13-0.0610%6 Aug
inferno13–10-0.0113%6 Aug
ancient7–130.0211%6 Aug
anubis7–13-0.047%6 Aug
anubis16–13-0.047%6 Aug
nuke9–130.058%5 Aug
inferno11–13-0.055%2 Aug
ancient13–7-0.0418%2 Aug
nuke12–16-0.0110%29 Jul
nuke13–60.013%26 Jul
inferno7–13-0.077%26 Jul
dust24–13-0.0510%19 Jul
inferno10–13-0.059%19 Jul
nuke13–50.044%19 Jul
inferno1–13-0.139%18 Jul
ancient2–13-0.049%17 Jul
inferno6–13-0.0612%17 Jul
inferno5–13-0.0313%17 Jul
inferno15–15-0.032%14 Jul
nuke13–7-0.032%14 Jul
cache15–15-0.037%14 Jul
inferno7–13-0.069%14 Jul
ancient13–11-0.0811%14 Jul
mirage7–130.028%14 Jul
mirage13–40.0810%13 Jul
inferno2–13-0.107%28 Jun
ancient16–12-0.055%28 Jun
dust213–80.007%23 Jun
overpass13–7-0.032%21 Jun
dust214–16-0.044%20 Jun
inferno13–11-0.0212%20 Jun
inferno7–13-0.048%20 Jun
ancient10–13-0.014%20 Jun
overpass7–13-0.087%13 Jun
inferno5–13-0.034%13 Jun
ancient7–13-0.076%12 Jun
nuke7–13-0.127%12 Jun
cache12–12-0.0511%6 Jun
train8–13-0.0710%6 Jun
train4–13-0.0310%6 Jun
cache8–13-0.094%6 Jun
ancient1–13-0.077%6 Jun
overpass15–15-0.0715%9 May
cache13–11-0.0515%9 May
nuke13–8-0.010%7 May
dust210–13-0.089%7 May
inferno13–5-0.058%7 May
nuke13–7-0.0412%7 May
ancient16–12-0.0811%7 May
cache5–13-0.0313%3 May
cache13–7-0.011%3 May
inferno9–13-0.0210%26 Apr
mirage15–150.038%25 Apr
anubis9–13-0.024%20 Apr
ancient11–13-0.0411%12 Apr
inferno5–13-0.119%10 Apr
ancient13–7-0.0312%10 Apr
ancient9–13-0.052%10 Apr
ancient10–13-0.049%9 Apr
overpass13–10-0.075%30 Mar
nuke13–90.0113%30 Mar
ancient3–13-0.120%30 Mar
overpass10–13-0.0617%27 Mar
inferno3–13-0.0617%27 Mar
inferno9–13-0.0213%24 Mar
inferno12–16-0.0412%21 Mar
nuke13–7-0.017%21 Mar
nuke11–13-0.0619%20 Mar
overpass13–5-0.048%20 Mar
ancient10–13-0.0317%17 Mar
nuke13–3-0.0114%17 Mar
overpass7–13-0.0515%17 Mar
nuke13–110.029%17 Mar
ancient13–40.0220%17 Mar
nuke13–50.0812%17 Mar

Match data via Leetify.

Recent teammates

Milestones

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