j9993

j9993 — CS2 Stats

US76561198097936123[U:1:137670395]Steam profile ↗✓ No bans

1,326Tracked matches42%Win rate2020Tracked since
2,957Hours in CS5Hrs last 2 wks
CSDB Rating6.9 SolidPositional Player
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (17 days ago). Ranks are recorded once per day this page is viewed.

+15Tracked matches · now 1,326
−19.2ppWin rate · 61.5% → 42.3%

Rating over time

31Days played since 2026-08-06

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches56——
Win rate48%——
K/D1.00——
Headshot %65%——

Measured 15 Sep 2026 → 11 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim76
Positioning75
Utility53

0–100 skill scores via Leetify.

Recent form

COLD48–43–9Last 10048%Win rateLWWLLLLTTL

Last 10 vs previous 10: −30pp win rate · +0.00 avg rating · −2.9pp headshot accuracy · +18ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 623ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 612ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 604ms

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 (+1.3 against its own average).

Aim7.6
Utility5.3
Positioning7.5
Opening Duels5.9

Excellent counter-strafing

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

donk

Plays most like donk 88% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

T openings. 72% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 72% on T to 52% on CT — first contacts on the defending side are being lost.

Reaction time. 619ms 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

Aim7.6
Positioning7.5
Utility5.3
Mechanics8.6
Opening Duels7.7
Win Impact2.4

Composite 6.9/10 (Solid), 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 rating0.03+0.05
first ⅓ avg -0.02 → last ⅓ avg 0.03
Reaction time614ms−35ms
first ⅓ avg 650ms → last ⅓ avg 614ms
Headshot accuracy28.4%+0.0%
first ⅓ avg 28.3% → last ⅓ avg 28.4%

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

0.19Best match rating · 13–4 · dust2, 17 Sept →
100%Best headshot accuracy · 4–1 · anubis, 15 Sept →
453msFastest reaction time · 11–13 · dust2, 21 Sept →
13–0Biggest win · vertigo, 11 Aug →

Across the last 100 tracked matches.

Highlights

10Longest win streak
8–3In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 57% over 14trainWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
cacheB189–950%0.01
vertigoB158–753%0.01
dust2C146–843%0.01
nukeA148–657%-0.00
mirageC104–640%-0.01
officeC94–544%-0.03
trainD61–517%-0.03
anubisB63–350%-0.02
eldorado—30–30%0.07
ancient—22–0100%-0.02
fachwerk—11–0100%-0.11
overpass—11–0100%-0.04
debris—11–0100%0.16

Across the last 100 tracked matches.

Lifetime stats

115,771Lifetime kills
1.44K/D · Top 5% of tracked players
4,248Matches
43.0%Match win rate
47.5%Headshot % · Top 50% of tracked players
27.8%Shot accuracy · Top 1% of tracked players
12,282MVPs
1,475Hours (in match)
4,161Bombs planted
779Bombs defused

Most-used weapons

AK-4718,465
AWP15,328
SSG 0812,901
P2502,735
Knife1,990

Lifetime map wins

13,127dust2
2,513nuke
2,394vertigo
1,165office
1,139train
834inferno
582lake
234cbble

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.

28.4%Headshot accuracy
32.6%Accuracy (enemy spotted)
30.2%Spray accuracy
88.7%Counter-strafing
10.4°Preaim
619msReaction time
72.3%T opening success
51.9%CT opening success
0.55Enemies flashed / flash
11.1%Flash assists
11.16HE damage / grenade
7.78Flashes / match

Recommended for you

Spend your practice time on Train

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
train6–130.0325%10 Oct →
mirage13–90.0516%10 Oct →
mirage13–110.0221%8 Oct →
train8–130.0316%5 Oct →
dust26–13-0.0116%3 Oct →
anubis7–13-0.0332%3 Oct →
vertigo2–13-0.0636%30 Sept →
eldorado8–80.0417%27 Sept →
eldorado8–80.0830%27 Sept →
eldorado6–90.0829%27 Sept →
vertigo13–100.0523%26 Sept →
cache13–30.0430%26 Sept →
office13–20.0131%26 Sept →
vertigo10–130.0013%25 Sept →
office4–130.0764%25 Sept →
nuke11–130.0922%24 Sept →
office6–13-0.0320%24 Sept →
vertigo13–50.1020%24 Sept →
cache9–13-0.0823%23 Sept →
vertigo13–10-0.0320%23 Sept →
dust213–8-0.0846%23 Sept →
vertigo12–120.0030%23 Sept →
dust212–120.1540%23 Sept →
dust212–120.0824%23 Sept →
mirage12–12-0.0230%23 Sept →
mirage5–13-0.0029%22 Sept →
train10–13-0.0230%22 Sept →
vertigo13–60.0521%22 Sept →
nuke13–70.0121%22 Sept →
cache13–90.1364%22 Sept →
dust211–13-0.0234%21 Sept →
cache6–130.1145%21 Sept →
nuke9–130.0218%21 Sept →
nuke11–13-0.0627%21 Sept →
nuke13–6-0.0521%21 Sept →
anubis13–5-0.0033%18 Sept →
dust213–10-0.0433%18 Sept →
cache13–11-0.0231%18 Sept →
vertigo8–13-0.035%17 Sept →
vertigo13–9-0.0025%17 Sept →
dust213–40.1939%17 Sept →
train13–11-0.0834%15 Sept →
cache13–6-0.0622%15 Sept →
anubis4–10.05100%15 Sept →
vertigo13–5-0.0416%15 Sept →
nuke13–11-0.0819%15 Sept →
cache13–6-0.0120%15 Sept →
anubis7–1-0.0733%15 Sept →
ancient13–10.0023%15 Sept →
mirage2–13-0.0725%15 Sept →
nuke13–70.0538%13 Sept →
cache1–13-0.0229%12 Sept →
cache5–130.0230%10 Sept →
vertigo12–120.0532%10 Sept →
dust26–13-0.0221%9 Sept →
nuke13–11-0.0413%8 Sept →
cache6–13-0.0434%8 Sept →
mirage9–130.059%8 Sept →
vertigo10–130.0920%8 Sept →
dust213–6-0.0327%8 Sept →
vertigo8–13-0.0418%6 Sept →
nuke13–6-0.0227%6 Sept →
dust213–50.0826%6 Sept →
nuke5–13-0.0324%4 Sept →
office13–3-0.0134%4 Sept →
cache13–4-0.0427%4 Sept →
mirage13–30.0224%4 Sept →
dust212–12-0.0823%4 Sept →
cache13–10-0.0323%1 Sept →
office13–9-0.0720%1 Sept →
train9–13-0.0535%1 Sept →
ancient13–7-0.0518%1 Sept →
dust213–80.0134%1 Sept →
office5–13-0.0931%31 Aug →
nuke5–13-0.0248%31 Aug →
train4–13-0.1022%31 Aug →
office13–9-0.0824%31 Aug →
mirage7–13-0.0628%31 Aug →
fachwerk13–9-0.1160%28 Aug →
cache10–130.0431%28 Aug →
overpass13–9-0.0425%28 Aug →
anubis7–13-0.0427%26 Aug →
office6–13-0.0422%26 Aug →
vertigo13–11-0.0512%25 Aug →
nuke13–11-0.0224%23 Aug →
office1–13-0.0159%23 Aug →
cache8–130.0433%23 Aug →
debris9–50.1657%23 Aug →
mirage6–13-0.0421%23 Aug →
cache8–130.0827%23 Aug →
cache10–13-0.0226%16 Aug →
dust22–13-0.0617%16 Aug →
nuke12–120.0821%16 Aug →
vertigo13–00.0721%11 Aug →
anubis8–13-0.0419%11 Aug →
mirage13–8-0.0415%11 Aug →
nuke13–60.0327%11 Aug →
dust29–130.0235%11 Aug →
cache13–11-0.0224%11 Aug →
cache13–8-0.0127%6 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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