Haywood Jablome — CS2 Stats

76561198050671012[U:1:90405284]

1,212Tracked matches50%Win rate2023Tracked since
1,035Hours in CS0Hrs last 2 wks
CSDB Rating4.6 Developing
Premier CS Rating11,832Blue band · top ~45.2% of ranked players (population est.)
CSDB Leaderboard#20231 of 28827 tracked
WingmanGold Nova III
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate40.8%41.7%44.1%3.2% short
Shot accuracy1.5%8.8%11.4%9.9% short
Kill/death ratio1.040.971.03meets
Match win rate44.6%43.8%45.2%meets

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGHaywood JablomePREMIER11,832 · Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning52
Utility46

0–100 skill scores via Leetify.

Recent form

HOT54415Last 10054%Win rateLWWWLWWWWW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating

Player DNA

Aim4.6
Aggression7.9
Utility4.6
Positioning5.2
Opening Duels3.7

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

ropz

Plays most like ropz 84% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: 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. 698ms 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
Positioning5.2
Utility4.6
Mechanics5.9
Opening Duels3.7
Win Impact5.0

Composite 4.6/10 (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-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time687ms+3ms
first ⅓ avg 684ms → last ⅓ avg 687ms
Headshot accuracy19.0%+1.6%
first ⅓ avg 17.4% → last ⅓ avg 19.0%

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

0.13Best rating — mirage 6–3
132Biggest win — inferno
8Longest win streak
106In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 89% over 9cacheWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC23101343%-0.00
dust2A22121055%0.01
infernoB168850%0.00
ancientA148657%0.01
anubisS98189%0.02
cacheD72529%0.01
nuke330100%-0.04
vertigo21150%0.03
fachwerk21150%0.04
boulder110100%0.03
overpass1010%0.03

Across the last 100 tracked matches.

Lifetime stats

28,504Lifetime kills
1.04K/D · Top 50% of Blue band
1,797Matches
44.6%Match win rate · Top 50% of Blue band
40.8%Headshot %
1.5%Shot accuracy
3,781MVPs
589Hours (in match)
1,752Bombs planted
353Bombs defused

Most-used weapons

Lifetime map wins

3,362dust2
2,770inferno
1,234nuke
1,128vertigo
231train
20lake
20sugarcane
16cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.8%Headshot accuracy
33.4%Accuracy (enemy spotted)
32.9%Spray accuracy
76.7%Counter-strafing
12.1°Preaim
698msReaction time
41.3%T opening success
48.4%CT opening success
0.47Enemies flashed / flash
10.4%Flash assists
9.29HE damage / grenade
4.58Flashes / 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 12.0734° — 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 0.4674 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
dust28–130.0526%2 Aug
mirage13–70.0528%2 Aug
ancient13–50.0212%1 Aug
dust213–11-0.0621%30 Jul
ancient10–13-0.0413%29 Jul
inferno13–90.0125%29 Jul
vertigo13–80.0622%29 Jul
anubis13–4-0.0023%29 Jul
cache13–11-0.0217%28 Jul
mirage8–0-0.0233%28 Jul
inferno13–20.1032%28 Jul
ancient13–80.0010%28 Jul
mirage13–8-0.0013%27 Jul
vertigo9–13-0.0026%26 Jul
dust213–80.0118%26 Jul
cache11–13-0.0921%26 Jul
mirage10–130.0214%26 Jul
fachwerk6–130.0421%25 Jul
nuke13–10-0.0020%24 Jul
dust24–13-0.0316%24 Jul
mirage6–30.1323%24 Jul
dust27–13-0.0722%24 Jul
cache4–13-0.0229%24 Jul
ancient4–13-0.0118%23 Jul
inferno9–13-0.0220%23 Jul
dust29–13-0.0115%22 Jul
mirage5–13-0.024%22 Jul
anubis4–13-0.0512%22 Jul
anubis13–110.0415%22 Jul
mirage9–13-0.0211%21 Jul
inferno13–110.0512%21 Jul
mirage13–9-0.0716%21 Jul
ancient9–13-0.0421%20 Jul
anubis13–40.0310%20 Jul
dust211–13-0.0113%20 Jul
dust212–12-0.0519%20 Jul
dust213–11-0.078%19 Jul
dust213–30.0922%19 Jul
ancient13–11-0.0225%19 Jul
inferno7–13-0.0615%19 Jul
cache3–130.0315%19 Jul
ancient13–70.0319%19 Jul
dust213–50.0425%19 Jul
mirage6–130.1228%19 Jul
ancient13–7-0.0114%18 Jul
ancient13–160.0213%11 Jul
inferno12–12-0.0019%11 Jul
dust213–50.0417%11 Jul
mirage13–6-0.0013%11 Jul
inferno13–80.0620%11 Jul
ancient11–130.0915%10 Jul
cache15–150.1315%10 Jul
mirage10–13-0.0220%10 Jul
cache13–90.0323%9 Jul
fachwerk13–90.0416%9 Jul
boulder13–110.0310%8 Jul
dust212–120.0015%8 Jul
inferno2–13-0.0726%8 Jul
inferno9–130.0118%7 Jul
cache11–130.0119%7 Jul
mirage13–6-0.0313%7 Jul
ancient13–30.0524%4 Jul
mirage13–9-0.035%3 Jul
inferno13–60.0717%3 Jul
anubis13–50.0916%3 Jul
mirage4–13-0.0411%2 Jul
dust23–13-0.0119%2 Jul
ancient11–13-0.0513%2 Jul
mirage15–150.0024%1 Jul
mirage13–5-0.0316%1 Jul
mirage13–6-0.0018%1 Jul
anubis16–130.0513%1 Jul
mirage5–13-0.0611%30 Jun
inferno13–5-0.0417%30 Jun
dust213–9-0.0216%30 Jun
mirage12–16-0.0318%30 Jun
anubis16–120.0415%29 Jun
dust213–110.1022%28 Jun
dust210–13-0.0521%28 Jun
overpass10–130.0323%28 Jun
ancient13–20.0423%28 Jun
mirage7–13-0.0317%28 Jun
nuke13–7-0.0620%28 Jun
dust213–40.1222%28 Jun
mirage10–130.0313%28 Jun
mirage8–130.013%28 Jun
mirage11–13-0.0319%27 Jun
inferno5–130.0418%27 Jun
dust27–130.008%27 Jun
inferno16–140.0216%27 Jun
inferno9–13-0.0212%26 Jun
dust213–110.089%26 Jun
anubis13–70.0118%20 Jun
nuke13–7-0.078%20 Jun
inferno10–13-0.109%20 Jun
dust213–40.0923%20 Jun
ancient13–40.0342%20 Jun
anubis13–7-0.0218%20 Jun
dust213–8-0.0125%19 Jun
inferno13–9-0.0224%19 Jun

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 →