John Tinkle

John Tinkle — CS2 Stats

76561199092824513[U:1:1132558785]Steam profile ↗✓ No bans

162Tracked matches59%Win rate2026Tracked since
CSDB Rating3.9 LearningPositional Player
Premier CS Rating10,000Blue band · top ~54.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

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

Rating over time

Premier CS Rating: 10,000 +4,443 16 Aug – 16 Oct · 30 days played
5,55710,119peak 10,11916 Aug16 Oct
10,119Peak Premier in tracked matches
36Days played since 2026-08-07

Premier CS Rating

  • 119 below peak (10,119)
  • +2,227 over 30 days · improving
  • Next: Purple band at 15,000 — 5,000 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-13

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

Share this profile

CSDB.GGJohn TinklePREMIER10,000 · Blue bandcsdb.gg/stats

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Performance scores

Aim42
Positioning59
Utility15

0–100 skill scores via Leetify.

Recent form

STEADY52–46–2Last 10052%Win rateLLWWWWWWLL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −1.8pp headshot accuracy · +84ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 614ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 8%
  • Avg reaction 590ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 9%
  • Avg reaction 548ms

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 (+2.9 against its own average).

Aim4.2
Utility1.5
Positioning5.9
Opening Duels1.6

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

donk

Plays most like donk 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

Counter-strafing. Only 62% 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

Aim4.2
Positioning5.9
Utility1.5
Mechanics2.6
Opening Duels2.5
Win Impact7.9

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time572ms−29ms
first ⅓ avg 601ms → last ⅓ avg 572ms
Headshot accuracy9.0%+0.8%
first ⅓ avg 8.2% → last ⅓ avg 9.0%

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

0.17Best match rating · 13–6 · mirage, 8 Sept →
50%Best headshot accuracy · 8–2 · cache, 22 Sept →
391msFastest reaction time · 13–16 · mirage, 9 Oct →
13–0Biggest win · anubis, 18 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
8–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 64% over 14infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
cacheB2512–1348%-0.00
mirageB2110–1148%-0.00
dust2B1910–953%-0.02
anubisA149–564%-0.02
infernoD62–433%-0.02
train—42–250%0.02
ancient—32–167%0.02
vertigo—22–0100%0.03
nuke—21–150%0.04
italy—11–0100%0.08
rush_001—10–10%-0.04
office—11–0100%0.03
shelter—10–10%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 6). 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.

9.2%Headshot accuracy
31.7%Accuracy (enemy spotted)
32.3%Spray accuracy
61.9%Counter-strafing
9.0°Preaim
544msReaction time
36.3%T opening success
43.7%CT opening success
0.18Enemies flashed / flash
1.2%Flash assists
6.19HE damage / grenade
1.05Flashes / 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 9.1803% — 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 0.1822 — 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 36.2694% — below the 40% mark we flag

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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–13-0.048%16 Oct →
cache8–13-0.047%16 Oct →
cache12–7-0.0115%14 Oct →
mirage13–30.0314%14 Oct →
anubis13–80.026%14 Oct →
cache13–5-0.019%13 Oct →
cache13–50.0410%12 Oct →
italy13–70.085%12 Oct →
rush_0013–7-0.040%12 Oct →
dust27–13-0.008%11 Oct →
anubis13–7-0.049%11 Oct →
cache13–10-0.052%11 Oct →
cache13–9-0.018%10 Oct →
mirage13–16-0.0212%9 Oct →
dust213–70.0511%9 Oct →
anubis3–13-0.079%9 Oct →
cache13–10.1112%8 Oct →
train11–130.049%8 Oct →
cache13–70.0119%8 Oct →
mirage2–13-0.0510%8 Oct →
inferno1–13-0.0615%8 Oct →
cache1–13-0.025%8 Oct →
anubis13–8-0.028%8 Oct →
train4–00.0125%8 Oct →
train7–9-0.035%8 Oct →
train2–60.075%8 Oct →
cache11–130.0219%1 Oct →
dust28–2-0.060%30 Sept →
dust214–16-0.028%30 Sept →
cache16–14-0.016%29 Sept →
inferno15–15-0.038%29 Sept →
dust211–13-0.085%29 Sept →
cache8–13-0.048%29 Sept →
inferno13–5-0.0014%24 Sept →
cache13–11-0.056%23 Sept →
vertigo13–100.0916%23 Sept →
anubis13–80.023%23 Sept →
dust21–13-0.106%23 Sept →
anubis13–1-0.014%23 Sept →
cache8–20.0450%22 Sept →
anubis13–100.0114%21 Sept →
mirage13–10-0.0613%17 Sept →
mirage13–80.0317%17 Sept →
ancient5–13-0.024%17 Sept →
anubis10–13-0.055%10 Sept →
cache11–13-0.0214%10 Sept →
dust29–13-0.0413%10 Sept →
cache9–130.098%10 Sept →
ancient13–80.088%10 Sept →
inferno5–130.006%10 Sept →
nuke13–90.088%9 Sept →
mirage13–60.1715%8 Sept →
dust213–20.0917%8 Sept →
cache10–130.0011%8 Sept →
nuke10–13-0.019%8 Sept →
mirage13–60.0615%8 Sept →
dust213–6-0.0011%8 Sept →
ancient13–11-0.008%8 Sept →
dust21–13-0.0317%8 Sept →
anubis9–13-0.0113%8 Sept →
dust213–11-0.0418%7 Sept →
anubis10–13-0.053%6 Sept →
cache3–130.015%6 Sept →
office13–70.037%6 Sept →
vertigo13–9-0.024%6 Sept →
mirage13–100.0210%5 Sept →
mirage4–13-0.1014%4 Sept →
dust26–130.017%4 Sept →
cache11–13-0.0617%4 Sept →
mirage4–00.170%4 Sept →
cache6–13-0.060%26 Aug →
dust213–8-0.0416%25 Aug →
dust25–13-0.065%25 Aug →
anubis16–14-0.0310%25 Aug →
anubis13–90.0214%24 Aug →
mirage9–13-0.014%24 Aug →
mirage13–70.044%21 Aug →
mirage11–13-0.0312%20 Aug →
cache13–11-0.022%19 Aug →
anubis13–0-0.000%18 Aug →
mirage2–13-0.059%18 Aug →
cache5–13-0.017%18 Aug →
mirage13–10-0.0610%18 Aug →
inferno13–80.036%18 Aug →
mirage13–16-0.089%18 Aug →
mirage15–15-0.038%17 Aug →
dust213–7-0.056%16 Aug →
dust213–110.096%14 Aug →
cache13–30.0217%14 Aug →
shelter4–13-0.0412%11 Aug →
dust27–13-0.067%11 Aug →
dust213–6-0.113%11 Aug →
dust213–30.107%11 Aug →
mirage13–3-0.044%11 Aug →
cache6–13-0.028%10 Aug →
anubis6–13-0.059%10 Aug →
inferno5–13-0.0513%10 Aug →
mirage4–13-0.045%10 Aug →
mirage2–13-0.0413%7 Aug →
mirage4–130.0021%7 Aug →

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 →

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