John Dawson

John Dawson — CS2 Stats

76561198202205880[U:1:241940152]Steam profile ↗1 game ban

3,462Tracked matches43%Win rate2020Tracked since
7,915Hours in CS87Hrs last 2 wks
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating11,763Blue band · top ~45.6% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 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: 11,763 +4,067 9 Sept – 4 Nov · 20 days played
7,69615,588peak 15,5889 Sept4 Nov
15,935Peak Premier in tracked matches
18Days played since 2026-09-09

Premier CS Rating

  • 3,825 below peak (15,588)
  • Next: Purple band at 15,000 — 3,237 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Light Blue band first seen 2026-09-09

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

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=6,128), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 2 medianLevel 3 medianvs Level 3
Headshot rate27.7%41.3%41.8%14.1% short
Shot accuracy11.2%12.7%12.2%1.0% short
Kill/death ratio0.980.950.98meets
Match win rate55.9%42.6%43.3%above

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJohn DawsonFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER11,763 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim71
Positioning57
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY43–53–4Last 10043%Win rateLLWLLLLWWW

Last 10 vs previous 10: −10pp win rate · −0.06 avg rating · −0.1pp headshot accuracy · +12ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 17%
  • Avg reaction 587ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 17%
  • Avg reaction 586ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 580ms

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 (+2.4 against its own average).

Aim7.1
Utility3.6
Positioning5.7
Opening Duels2.8
Clutch1.0

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

b1t

Plays most like b1t 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 591ms 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

Aim7.1
Positioning5.7
Utility3.6
Mechanics7.1
Opening Duels5.5
Win Impact2.8

Composite 5.4/10 (Developing), 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-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time592ms−7ms
first ⅓ avg 599ms → last ⅓ avg 592ms
Headshot accuracy16.6%+2.6%
first ⅓ avg 14.0% → last ⅓ avg 16.6%

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 · 13–3 · nuke, 26 Oct →
41%Best headshot accuracy · 9–13 · nuke, 26 Oct →
438msFastest reaction time · 8–0 · cache, 2 Nov →
13–1Biggest win · nuke, 29 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
8–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 50% over 10infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
cacheB2110–1148%-0.03
nukeC218–1338%-0.02
mirageB178–947%-0.03
dust2C146–843%-0.04
infernoD103–730%-0.00
ancientB105–550%-0.04
anubisD62–433%-0.03
office—11–0100%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

181,662Lifetime kills
0.98K/D · Top 50% of Level 2 players
10,671Matches
55.9%Match win rate · Top 5% of Level 2 players
27.7%Headshot %
11.2%Shot accuracy
14,017MVPs
2,602Hours (in match)
7,113Bombs planted
1,265Bombs defused

Most-used weapons

AK-4771,285
AWP13,069
Knife6,526
MAC-103,187
P2502,467
MP92,310

Lifetime map wins

9,839dust2
7,467nuke
6,115inferno
3,615vertigo
2,310train
1,254cbble
509lake
431office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

40Matches
32%Win rate
0.59Avg K/D
74.1ADR
35%Headshot %

Clutches & streaks

25%1v1 clutch win
38%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage60%0.8314.0
Dust2333%0.8115.3
Overpass2100%0.7611.0
Vertigo20%0.7012.0
Ancient10%0.508.0
Nuke1100%1.0617.0
Inferno10%0.6517.0

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.

16.4%Headshot accuracy
33.7%Accuracy (enemy spotted)
39.6%Spray accuracy
81.8%Counter-strafing
9.2°Preaim
591msReaction time
58.6%T opening success
45.5%CT opening success
0.41Enemies flashed / flash
8.9%Flash assists
12.68HE damage / grenade
1.92Flashes / 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. 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 0.4116 — 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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno3–13-0.0719%4 Nov →
cache9–13-0.0614%3 Nov →
ancient13–7-0.057%3 Nov →
nuke6–13-0.0830%3 Nov →
anubis9–13-0.0714%3 Nov →
dust26–13-0.0423%3 Nov →
dust28–13-0.0816%3 Nov →
anubis13–11-0.0115%2 Nov →
mirage13–5-0.0423%2 Nov →
nuke13–11-0.067%2 Nov →
dust213–5-0.0215%2 Nov →
dust28–13-0.0814%2 Nov →
anubis13–50.0721%2 Nov →
nuke7–13-0.0122%2 Nov →
ancient8–130.0415%2 Nov →
office13–10-0.036%2 Nov →
cache8–00.0314%2 Nov →
nuke13–60.0838%2 Nov →
nuke6–13-0.0812%1 Nov →
nuke9–130.0211%1 Nov →
nuke13–6-0.0226%1 Nov →
nuke8–13-0.008%1 Nov →
inferno13–5-0.0620%31 Oct →
mirage13–110.0013%31 Oct →
nuke9–13-0.0325%31 Oct →
mirage10–130.0113%31 Oct →
dust211–130.0219%31 Oct →
cache13–70.0129%31 Oct →
inferno9–13-0.039%30 Oct →
dust26–13-0.083%29 Oct →
cache13–4-0.0511%29 Oct →
nuke13–1-0.0420%29 Oct →
cache8–13-0.0516%29 Oct →
nuke13–80.0515%29 Oct →
mirage13–10-0.0113%29 Oct →
ancient13–8-0.0017%28 Oct →
cache8–13-0.0619%28 Oct →
cache6–13-0.1020%28 Oct →
dust213–110.0123%28 Oct →
mirage9–13-0.0325%28 Oct →
cache13–100.0716%28 Oct →
inferno5–130.0120%27 Oct →
mirage13–7-0.0214%27 Oct →
nuke13–50.0426%27 Oct →
dust213–70.017%27 Oct →
cache11–130.0314%27 Oct →
inferno7–13-0.0117%27 Oct →
inferno15–150.0232%26 Oct →
cache12–12-0.0031%26 Oct →
nuke9–13-0.0741%26 Oct →
mirage13–4-0.063%26 Oct →
cache5–13-0.0523%26 Oct →
mirage2–13-0.0825%26 Oct →
nuke13–30.1021%26 Oct →
nuke11–13-0.0515%25 Oct →
ancient10–13-0.058%25 Oct →
cache13–4-0.0011%25 Oct →
nuke5–13-0.069%25 Oct →
nuke10–130.0224%24 Oct →
anubis11–13-0.0713%24 Oct →
mirage9–130.0519%24 Oct →
ancient13–8-0.0418%24 Oct →
inferno13–20.0211%24 Oct →
dust24–13-0.0931%23 Oct →
cache10–13-0.0023%23 Oct →
cache13–11-0.0313%23 Oct →
cache13–90.0213%23 Oct →
mirage5–13-0.068%23 Oct →
inferno13–80.0216%23 Oct →
mirage13–4-0.0513%23 Oct →
anubis10–13-0.079%23 Oct →
cache13–7-0.0826%23 Oct →
cache13–6-0.0510%23 Oct →
dust213–5-0.0514%22 Oct →
inferno5–130.0513%22 Oct →
inferno9–130.009%22 Oct →
ancient1–13-0.0422%22 Oct →
nuke7–13-0.0713%22 Oct →
cache13–1-0.0213%22 Oct →
mirage11–13-0.0611%22 Oct →
dust215–15-0.036%21 Oct →
mirage15–15-0.0611%21 Oct →
dust213–11-0.0113%21 Oct →
ancient13–8-0.1111%21 Oct →
dust28–13-0.089%21 Oct →
cache6–13-0.0629%20 Oct →
mirage9–13-0.0713%19 Oct →
ancient13–9-0.068%19 Oct →
ancient7–130.0115%19 Oct →
nuke13–11-0.0618%19 Oct →
anubis4–13-0.0618%19 Oct →
mirage13–4-0.0217%19 Oct →
ancient6–13-0.0915%19 Oct →
cache4–13-0.0311%19 Oct →
cache6–13-0.0617%19 Oct →
mirage13–11-0.0412%19 Oct →
nuke11–130.018%19 Oct →
mirage3–13-0.0314%19 Oct →
nuke10–13-0.0328%18 Oct →
dust213–8-0.0012%18 Oct →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.