John

John — CS2 Stats

JP76561199230734038[U:1:1270468310]Steam profile ↗

1,966Tracked matches79%Win rate2022Tracked since
1,464Hours in CS
CSDB Rating6.9 SolidHybrid Rifler
Premier CS Rating24,372Top 50% of 819 CSDB-tracked playersPink band · top ~3.7% of ranked players (population est.)
CSDB Leaderboard#3503 of 18775 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Share this profile

CSDB.GGJohnFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER24,372 · Pink 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

Aim84
Positioning46
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY68266Last 10068%Win rateLWWWTWWWLL

Last 10 vs previous 10: +10pp win rate · -0.06 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim8.4
Aggression5.8
Utility4.8
Positioning4.6
Opening Duels1.9
Clutch0.0

Excellent counter-strafingStrong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 90% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution; lower positioning 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

Strengths

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 48% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 645ms 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

Aim8.4
Positioning4.6
Utility4.8
Mechanics8.9
Opening Duels2.3
Win Impact10.0

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time651ms−43ms
first ⅓ avg 693ms → last ⅓ avg 651ms
Headshot accuracy30.2%−1.0%
first ⅓ avg 31.2% → last ⅓ avg 30.2%

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.

Highlights

0.31Best rating — inferno 9–1
130Biggest win — cache
8Longest win streak
88In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 100% over 8ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoA1810856%0.05
debrisS139469%0.06
poseidonS1110191%0.09
cacheA117464%-0.02
nukeA85363%0.02
mirageS880100%-0.01
dust2S75271%-0.02
vertigoS64267%0.03
ancientD62433%-0.01
overpass42250%0.02
train330100%0.04
anubis21150%-0.06
eldorado1010%0.04
office110100%0.10
boulder110100%0.17

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

54,563Lifetime kills
1.00K/D
3,600Matches
48.3%Match win rate · Top 50% of Pink band
63.9%Headshot % · Top 10% of Pink band
10.5%Shot accuracy
7,921MVPs
1,464Hours (in match)
2,821Bombs planted
579Bombs defused

Most-used weapons

AK-4717,560
AWP2,823
FAMAS1,986
MP91,232
SSG 081,043

Lifetime map wins

5,292inferno
3,770dust2
1,634vertigo
1,625nuke
1,490train
1,244cbble
122office
7italy

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

Faceit stats

Combat

121Matches
60%Win rate
1.25Avg K/D
80.8ADR
56%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1377%1.0113.8
Anubis1164%1.0916.0
Ancient978%0.9613.8
Inferno6100%1.2718.0
Vertigo450%0.7016.5
Overpass450%1.1617.8
Nuke333%1.2618.0
Dust22100%1.4219.0

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.

28.7%Headshot accuracy
35.1%Accuracy (enemy spotted)
36.1%Spray accuracy
90.0%Counter-strafing
9.5°Preaim
645msReaction time
26.9%T opening success
48.1%CT opening success
0.42Enemies flashed / flash
7.0%Flash assists
5.06HE damage / grenade
7.29Flashes / 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 0.4225 — below the 0.5 mark we flag

    Grenade Lineups
  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 26.8975% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke7–9-0.1018%4 Aug
vertigo9–40.0038%4 Aug
vertigo13–30.0036%4 Aug
debris9–5-0.0855%4 Aug
poseidon8–8-0.0918%4 Aug
overpass9–20.2230%4 Aug
vertigo9–40.1222%4 Aug
overpass13–2-0.0331%3 Aug
dust211–13-0.0432%3 Aug
inferno14–160.0226%3 Aug
mirage13–50.0339%3 Aug
inferno7–9-0.0127%3 Aug
cache13–60.0818%1 Aug
ancient2–13-0.0523%1 Aug
vertigo4–9-0.0229%1 Aug
nuke8–80.2131%1 Aug
vertigo6–90.0522%31 Jul
inferno9–50.2117%31 Jul
debris9–60.1229%31 Jul
mirage13–9-0.0553%30 Jul
inferno13–10.0114%30 Jul
cache13–0-0.078%30 Jul
ancient13–50.0435%30 Jul
nuke9–7-0.0424%29 Jul
inferno8–8-0.0632%29 Jul
poseidon9–40.0229%29 Jul
poseidon9–30.1247%29 Jul
debris9–40.1136%29 Jul
debris9–40.0524%29 Jul
debris4–9-0.0443%29 Jul
overpass6–9-0.0827%29 Jul
nuke9–20.2333%29 Jul
vertigo9–40.0650%29 Jul
poseidon9–40.1242%29 Jul
inferno9–70.0152%29 Jul
poseidon9–40.0943%28 Jul
poseidon9–50.1652%28 Jul
poseidon9–10.2832%28 Jul
debris9–50.1534%28 Jul
debris8–8-0.0022%28 Jul
debris5–9-0.0142%28 Jul
inferno3–9-0.0919%28 Jul
dust213–8-0.0334%26 Jul
cache13–7-0.0523%26 Jul
train13–50.0250%26 Jul
inferno13–50.0617%26 Jul
dust213–30.0231%26 Jul
inferno5–9-0.0232%26 Jul
nuke13–6-0.040%26 Jul
inferno13–60.0026%26 Jul
ancient10–6-0.0122%26 Jul
mirage13–8-0.0228%26 Jul
inferno9–20.2126%26 Jul
debris9–10.1747%26 Jul
inferno9–10.1057%26 Jul
dust214–16-0.0225%26 Jul
debris9–70.0432%25 Jul
inferno9–10.3140%25 Jul
inferno9–50.0226%25 Jul
poseidon9–70.0835%25 Jul
poseidon9–3-0.0557%25 Jul
inferno11–13-0.0019%24 Jul
ancient12–120.0126%24 Jul
anubis10–13-0.0727%24 Jul
nuke13–1-0.0257%24 Jul
inferno6–90.0831%24 Jul
mirage16–12-0.0819%24 Jul
mirage13–40.0146%23 Jul
nuke4–0-0.030%23 Jul
anubis13–6-0.0545%23 Jul
cache7–10.0640%23 Jul
ancient9–13-0.0648%23 Jul
train13–100.1237%23 Jul
mirage13–80.0027%23 Jul
cache13–3-0.0525%23 Jul
inferno6–90.0040%22 Jul
inferno9–40.0235%22 Jul
eldorado8–80.0436%22 Jul
poseidon9–40.0038%22 Jul
poseidon9–20.2750%22 Jul
debris7–9-0.0129%22 Jul
debris9–60.0153%22 Jul
debris9–10.2334%22 Jul
mirage13–00.0120%22 Jul
overpass5–13-0.0228%22 Jul
cache9–13-0.0729%22 Jul
nuke11–13-0.0210%21 Jul
dust24–0-0.0338%21 Jul
train13–9-0.0126%21 Jul
cache9–8-0.0714%21 Jul
ancient4–13-0.0150%21 Jul
cache4–40.0421%20 Jul
cache10–13-0.0728%20 Jul
office13–90.1043%20 Jul
cache6–130.0032%19 Jul
boulder13–10.1729%19 Jul
cache5–13-0.0117%19 Jul
dust213–110.0417%19 Jul
mirage13–50.0221%19 Jul
dust213–11-0.0521%19 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 →