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JonSolod

JonSolod — CS2 Stats

US76561197980928677[U:1:20662949]Steam profile ↗

338Tracked matches54%Win rate2020Tracked since
2,288Hours in CS1Hrs last 2 wks
CSDB Rating3.5 Learning
FaceitLevel 3 · 891 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,149), 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 3 medianLevel 4 medianvs Level 4
Headshot rate32.8%42.2%42.7%9.9% short
Shot accuracy16.9%11.9%10.8%above
Kill/death ratio0.900.981.000.09 short
Match win rate41.9%43.6%44.1%2.2% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJonSolodFACEITLevel 3 · 891 ELOSTANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim46
Positioning25
Utility28

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateWLTWLTWLWW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim4.6
Aggression1.2
Utility2.8
Positioning2.5
Opening Duels0.0
Clutch0.0

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 62% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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. 664ms 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

Aim4.6
Positioning2.5
Utility2.8
Mechanics6.1
Opening Duels0.0
Win Impact6.2

Composite 3.5/10 (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-0.05−0.03
first ⅓ avg -0.02 → last ⅓ avg -0.05
Reaction time658ms+32ms
first ⅓ avg 627ms → last ⅓ avg 658ms
Headshot accuracy14.0%−1.7%
first ⅓ avg 15.7% → last ⅓ avg 14.0%

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.

Highlights

0.09Best rating — train 13–9
13–0Biggest win — overpass
4Longest win streak
2–8In matches decided by ≤2 rounds
1Overtime games

Map breakdown

overpassBest map · 60% over 15dust2Weakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
nukeB199–1047%-0.04
trainB189–950%-0.01
infernoB157–847%-0.04
overpassA159–660%-0.01
dust2D123–925%-0.05
cacheB84–450%-0.06
ancientC73–443%-0.04
anubis—43–175%-0.00
mirage—22–0100%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,552Lifetime kills
0.90K/D
2,755Matches
41.9%Match win rate
32.8%Headshot %
16.9%Shot accuracy · Top 25% of Level 3 players
4,949MVPs
1,173Hours (in match)
2,229Bombs planted
449Bombs defused

Most-used weapons

AK-4716,993
M4A4 / M4A1-S14,619
AWP5,152
P2000 / USP-S3,515
Glock-182,249
Galil AR1,366
FAMAS982
P250935
XM1014848
SSG 08596

Lifetime map wins

7,440inferno
2,739dust2
2,666nuke
2,628train
324cbble
257vertigo
90dust
42assault

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

Faceit stats

Combat

21Matches
38%Win rate
0.76Avg K/D
82.5ADR
36%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno40%0.8114.8
Dust23100%0.9118.0
Nuke20%0.5811.5
Mirage20%0.6610.5
Train2100%1.3811.5
Ancient2100%0.7316.0
Anubis10%1.0018.0

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.

14.0%Headshot accuracy
29.1%Accuracy (enemy spotted)
32.1%Spray accuracy
77.5%Counter-strafing
8.9°Preaim
664msReaction time
26.5%T opening success
20.2%CT opening success
0.54Enemies flashed / flash
0.9%Flash assists
12.74HE damage / grenade
2.28Flashes / 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 14.0189% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.282 — below the 4 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 26.5241% — below the 40% mark we flag

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–90.0314%29 Aug →
dust24–13-0.108%29 Aug →
inferno12–12-0.0430%27 Jun →
nuke13–10-0.087%25 Jun →
cache8–13-0.0912%25 Jun →
inferno12–12-0.0319%24 Jun →
mirage13–4-0.0714%24 Jun →
dust28–13-0.028%24 Jun →
inferno13–7-0.0422%9 Jun →
train13–10-0.0216%31 May →
cache6–13-0.059%30 May →
inferno2–13-0.078%30 May →
inferno5–13-0.0215%29 May →
cache4–13-0.106%29 May →
inferno13–5-0.0917%28 May →
cache13–2-0.0321%28 May →
cache5–13-0.0417%27 May →
cache13–7-0.0716%25 May →
cache13–3-0.0513%7 May →
cache13–9-0.0418%7 May →
ancient4–13-0.0924%18 Apr →
inferno12–16-0.0412%5 Feb →
anubis13–10-0.0013%5 Feb →
overpass10–13-0.0513%26 Sept →
nuke13–11-0.0611%26 Sept →
dust27–13-0.079%14 Sept →
dust213–8-0.046%14 Sept →
inferno6–130.038%14 Sept →
inferno13–10-0.0715%14 Sept →
overpass13–9-0.0521%14 Sept →
nuke7–00.0120%14 Sept →
overpass11–13-0.0314%14 Sept →
nuke11–13-0.079%13 Sept →
train7–13-0.0738%13 Sept →
ancient13–8-0.0329%13 Sept →
train9–13-0.0911%12 Sept →
inferno13–8-0.079%12 Sept →
overpass13–80.0217%11 Sept →
nuke4–13-0.0519%11 Sept →
overpass13–7-0.0716%11 Sept →
nuke11–13-0.0610%10 Sept →
nuke13–7-0.065%10 Sept →
ancient6–13-0.0714%10 Sept →
train13–80.0111%9 Sept →
nuke8–13-0.0214%8 Sept →
ancient13–7-0.0219%7 Sept →
nuke7–130.0016%7 Sept →
overpass11–13-0.059%7 Sept →
train13–50.0310%7 Sept →
overpass13–20.0717%7 Sept →
ancient8–13-0.045%6 Sept →
nuke13–8-0.0512%6 Sept →
overpass13–4-0.0515%6 Sept →
nuke10–13-0.0511%6 Sept →
inferno11–13-0.0611%5 Sept →
ancient13–50.0011%5 Sept →
dust211–13-0.0513%5 Sept →
dust210–13-0.0411%5 Sept →
train13–90.017%4 Sept →
train13–60.0611%4 Sept →
train6–13-0.0715%4 Sept →
ancient9–13-0.0315%4 Sept →
overpass13–80.0211%4 Sept →
mirage13–10-0.0114%4 Sept →
anubis13–6-0.039%4 Sept →
train9–130.039%3 Sept →
train13–90.0913%3 Sept →
nuke11–13-0.0310%3 Sept →
dust28–40.017%3 Sept →
train13–9-0.0317%3 Sept →
inferno13–7-0.049%2 Sept →
train13–8-0.0311%2 Sept →
train12–120.009%2 Sept →
train13–10-0.0114%2 Sept →
train12–12-0.0213%2 Sept →
train7–130.0319%2 Sept →
train5–13-0.0317%1 Sept →
inferno6–13-0.0214%31 Aug →
dust210–13-0.0416%31 Aug →
dust26–13-0.0719%31 Aug →
overpass13–10-0.0414%31 Aug →
overpass13–30.0822%31 Aug →
dust213–9-0.0018%28 Aug →
nuke13–6-0.045%28 Aug →
nuke9–13-0.0612%27 Aug →
overpass10–13-0.0719%27 Aug →
nuke13–8-0.0616%27 Aug →
nuke13–90.0520%25 Aug →
dust25–13-0.0710%25 Aug →
inferno13–8-0.0321%23 Aug →
nuke11–13-0.0023%23 Aug →
dust25–13-0.096%23 Aug →
overpass3–13-0.0435%23 Aug →
nuke4–13-0.0626%23 Aug →
train10–13-0.0825%21 Aug →
overpass13–00.0615%21 Aug →
nuke13–11-0.054%21 Aug →
overpass9–130.0430%21 Aug →
anubis12–12-0.016%20 Aug →
inferno13–90.0617%20 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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