Craig Jones

Craig Jones — CS2 Stats

76561199206953159[U:1:1246687431]Steam profile ↗

1,329Tracked matches57%Win rate2021Tracked since
2,481Hours in CS41Hrs last 2 wks
CSDB Rating4.8 Developing
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian I
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 rate39.1%42.2%42.7%3.5% short
Shot accuracy12.3%11.9%10.8%above
Kill/death ratio0.740.981.000.26 short
Match win rate33.3%43.6%44.1%10.8% short

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

Widest gap: Kill/death ratio. 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.GGCraig JonesFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim58
Positioning46
Utility24

0–100 skill scores via Leetify.

Recent form

HOT50437Last 10050%Win rateLWWWWLWWWW

Last 10 vs previous 10: +50pp win rate · +0.01 avg rating

Player DNA

Aim5.8
Aggression5.4
Utility2.4
Positioning4.6
Opening Duels1.2

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 78% playstyle similarity

Most alike: opening-fight frequency, 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. 640ms 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

Aim5.8
Positioning4.6
Utility2.4
Mechanics6.1
Opening Duels1.4
Win Impact7.4

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time644ms−53ms
first ⅓ avg 697ms → last ⅓ avg 644ms
Headshot accuracy14.8%+0.1%
first ⅓ avg 14.8% → last ⅓ avg 14.8%

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

0.13Best rating — train 9–13
131Biggest win — office
8Longest win streak
85In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 83% over 6infernoWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageA1710759%-0.01
nukeC156940%-0.01
officeC145936%-0.01
vertigoB137654%-0.01
cacheC125742%-0.02
infernoD93633%0.01
trainA74357%0.03
anubisS65183%-0.01
dust2330100%-0.02
ancient21150%-0.04
overpass21150%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,957Lifetime kills
0.74K/D
1,974Matches
33.3%Match win rate
39.1%Headshot %
12.3%Shot accuracy · Top 50% of Level 3 players
2,413MVPs
951Hours (in match)
973Bombs planted
291Bombs defused

Most-used weapons

AK-476,047
AWP2,822
MP71,186
Knife423

Lifetime map wins

1,201inferno
1,102dust2
1,003vertigo
928nuke
586train
344office
20lake
19cbble

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

Faceit stats

Combat

10Matches
50%Win rate
0.82Avg K/D
ADR
42%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLWW

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.

15.3%Headshot accuracy
38.4%Accuracy (enemy spotted)
45.2%Spray accuracy
77.3%Counter-strafing
14.3°Preaim
640msReaction time
28.7%T opening success
41.2%CT opening success
0.33Enemies flashed / flash
2.7%Flash assists
11.52HE damage / grenade
2.37Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.3118° — above the 12° 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 0.3293 — 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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient5–13-0.0715%29 Aug
nuke13–60.0522%29 Aug
dust213–90.0114%29 Aug
nuke13–100.038%29 Aug
mirage13–110.0216%29 Aug
nuke11–13-0.0311%29 Aug
nuke13–8-0.0112%28 Aug
mirage13–3-0.0721%28 Aug
mirage13–70.0121%27 Aug
train13–90.0219%27 Aug
vertigo12–120.0210%25 Aug
cache10–13-0.0622%24 Aug
cache0–13-0.0229%22 Aug
office13–10.1026%22 Aug
vertigo13–11-0.0513%22 Aug
nuke5–9-0.083%21 Aug
vertigo9–7-0.0213%21 Aug
office9–13-0.067%21 Aug
vertigo1–130.0310%21 Aug
office4–130.0113%19 Aug
nuke13–8-0.0412%19 Aug
mirage13–7-0.0223%19 Aug
vertigo13–30.0824%19 Aug
vertigo7–13-0.0627%18 Aug
mirage7–130.0111%16 Aug
mirage13–110.0921%16 Aug
office13–8-0.0613%15 Aug
ancient13–7-0.0115%15 Aug
nuke11–130.018%13 Aug
nuke12–12-0.0213%12 Aug
mirage9–13-0.109%12 Aug
nuke8–13-0.0110%11 Aug
vertigo8–13-0.040%9 Aug
office8–13-0.068%9 Aug
overpass8–13-0.0111%8 Aug
vertigo13–11-0.0610%8 Aug
anubis13–100.019%8 Aug
inferno13–50.0320%8 Aug
train13–40.0411%6 Aug
train5–13-0.0317%6 Aug
office8–13-0.093%4 Aug
inferno10–13-0.0219%2 Aug
cache4–13-0.0119%1 Aug
vertigo12–12-0.069%1 Aug
cache12–12-0.010%1 Aug
vertigo13–40.0517%31 Jul
vertigo13–7-0.0117%31 Jul
nuke6–13-0.0226%30 Jul
office8–130.0216%30 Jul
inferno5–13-0.059%30 Jul
anubis13–40.0110%28 Jul
office13–5-0.0325%28 Jul
mirage6–130.0414%27 Jul
vertigo13–9-0.022%27 Jul
inferno7–13-0.008%27 Jul
mirage13–6-0.0316%26 Jul
office6–20.060%26 Jul
train13–6-0.027%26 Jul
vertigo1–13-0.0412%26 Jul
office7–130.0211%25 Jul
anubis13–20.0617%25 Jul
overpass13–20.0511%25 Jul
anubis8–13-0.0720%25 Jul
cache2–130.036%25 Jul
inferno13–80.1123%25 Jul
cache13–90.0613%25 Jul
anubis13–6-0.043%25 Jul
cache13–6-0.049%24 Jul
dust213–80.0127%23 Jul
mirage13–11-0.086%23 Jul
nuke13–30.1218%23 Jul
inferno13–50.016%23 Jul
train9–130.1367%23 Jul
office2–13-0.0612%23 Jul
mirage9–130.0214%23 Jul
train13–9-0.0113%22 Jul
mirage13–7-0.0316%22 Jul
office13–20.0723%22 Jul
office11–13-0.008%21 Jul
train9–130.079%21 Jul
cache13–110.0915%20 Jul
nuke12–10.0331%19 Jul
office11–13-0.0618%19 Jul
inferno12–12-0.039%19 Jul
nuke6–13-0.0212%19 Jul
nuke12–12-0.057%19 Jul
inferno12–120.0716%18 Jul
cache4–1-0.100%18 Jul
cache13–5-0.068%18 Jul
cache10–13-0.0214%18 Jul
cache11–13-0.0618%18 Jul
mirage13–100.079%18 Jul
mirage9–13-0.097%18 Jul
anubis13–10-0.0612%17 Jul
mirage13–50.0318%17 Jul
nuke5–13-0.0513%17 Jul
inferno10–13-0.0620%17 Jul
mirage8–13-0.058%17 Jul
mirage3–13-0.068%17 Jul
dust213–11-0.0820%17 Jul

Match data via Leetify.

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →