crack

crack — CS2 Stats

UM76561198073671145[U:1:113405417]Steam profile ↗✓ No bans

735Tracked matches45%Win rate2021Tracked since
1,767Hours in CS1Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating19,373Top 50% of 175,286 CSDB-tracked playersPurple band · top ~11% of ranked players (population est.)
CSDB Leaderboard#81781 of 220307 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 735 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 37 days played since 31 Mar 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 19,373 +1,070 31 Mar10 Sept · 30 days played
17,61222,028peak 22,02831 Mar10 Sept
22,028Peak Premier in tracked matches
37Days played since 2026-03-31

Premier CS Rating

  • 2,655 below peak (22,028)
  • -627 over 30 days · declining
  • +1,671 over 90 days
  • Next: Pink band at 20,000 627 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-10
  • Blue band first seen 2026-09-10

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 7 days vs previous 7

No matches recorded between 10 Sep 2026 and 17 Sep 2026.

Measured 10 Sep 202617 Sep 2026; no observation near 14 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.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=34,112), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate47.4%44.3%47.0%meets
Shot accuracy12.0%11.8%13.0%0.9% short
Kill/death ratio0.891.031.080.19 short
Match win rate39.9%45.2%46.7%6.8% short

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

Widest gap: Kill/death ratio. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGcrackPREMIER19,373 · Purple bandcsdb.gg/stats

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Performance scores

Aim72
Positioning49
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY51445Last 10051%Win rateLWTLLWLWLW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −2.1pp headshot accuracy · −58ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 131 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 523ms

Last 10

  • 451 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 19%
  • Avg reaction 528ms

Last 20

  • 8111 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 557ms

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 PlayerPositioning stands above the rest of this profile (+0.8 against its own average).

Aim7.2
Utility4.2
Positioning4.9
Opening Duels3.1

Strong 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.

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

jL

Plays most like jL 97% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; 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.

T-side openings. Opening success drops from 56% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 586ms 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

Aim7.2
Positioning4.9
Utility4.2
Mechanics5.6
Opening Duels3.2
Win Impact3.3

Composite 5.3/10 (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-0.02−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time594ms−75ms
first ⅓ avg 669ms → last ⅓ avg 594ms
Headshot accuracy21.6%−0.3%
first ⅓ avg 21.9% → last ⅓ avg 21.6%

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

0.06Best match rating · 13–11 · ancient, 26 Apr
42%Best headshot accuracy · 13–11 · nuke, 26 Apr
375msFastest reaction time · 1–13 · inferno, 8 Sept
13–2Biggest win · ancient, 23 Jul

Across the last 100 tracked matches.

Highlights

4Longest win streak
138In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 64% over 14infernoWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
dust2A23131057%-0.01
mirageC167944%-0.02
infernoD1551033%-0.04
ancientA149564%-0.02
cacheC125742%-0.04
anubisA95456%-0.01
nukeB84450%-0.01
overpass330100%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

62,306Lifetime kills
0.89K/D
3,742Matches
39.9%Match win rate
47.4%Headshot % · Top 50% of Purple band
12.0%Shot accuracy · Top 50% of Purple band
4,970MVPs
1,178Hours (in match)
3,310Bombs planted
527Bombs defused

Most-used weapons

AK-4717,009
AWP6,282
P902,472
SSG 081,716
MP71,256

Lifetime map wins

5,636dust2
2,827inferno
1,478nuke
852vertigo
206cbble
198office
118safehouse
108train

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.

20.4%Headshot accuracy
32.8%Accuracy (enemy spotted)
38.7%Spray accuracy
75.0%Counter-strafing
8.2°Preaim
586msReaction time
23.9%T opening success
55.9%CT opening success
0.56Enemies flashed / flash
1.8%Flash assists
6.78HE damage / grenade
6.09Flashes / 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

    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 23.91% — below the 40% mark we flag

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 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno1–13-0.097%8 Sept
dust213–70.0323%24 Aug
inferno15–15-0.0617%23 Aug
ancient6–13-0.109%23 Aug
mirage10–13-0.0418%22 Aug
inferno13–3-0.0330%22 Aug
cache11–13-0.0127%13 Aug
anubis13–50.0219%13 Aug
dust26–13-0.0918%8 Aug
dust216–13-0.0020%8 Aug
mirage13–16-0.0814%8 Aug
dust213–6-0.0020%8 Aug
mirage6–130.0332%6 Aug
dust213–40.0333%6 Aug
nuke9–130.0130%6 Aug
cache3–13-0.0819%6 Aug
inferno13–60.0123%3 Aug
cache6–13-0.106%3 Aug
nuke14–16-0.0020%3 Aug
anubis13–8-0.0012%3 Aug
ancient16–12-0.0120%2 Aug
inferno8–13-0.0712%2 Aug
cache13–16-0.0526%2 Aug
dust22–13-0.0536%2 Aug
inferno6–13-0.0125%1 Aug
mirage13–7-0.0610%1 Aug
cache13–60.0016%1 Aug
nuke6–13-0.0526%1 Aug
mirage13–90.0120%31 Jul
ancient13–50.0132%31 Jul
ancient13–40.0530%31 Jul
dust211–13-0.0127%31 Jul
mirage16–140.0338%30 Jul
dust213–3-0.0226%30 Jul
cache16–130.0314%30 Jul
inferno13–6-0.0417%30 Jul
mirage3–13-0.0935%30 Jul
ancient2–13-0.0516%26 Jul
mirage9–13-0.0516%26 Jul
cache13–9-0.0124%26 Jul
anubis6–13-0.0031%25 Jul
nuke13–10-0.0027%25 Jul
dust213–11-0.0025%25 Jul
ancient13–5-0.0818%25 Jul
ancient11–13-0.0428%24 Jul
cache14–16-0.0930%24 Jul
cache11–13-0.0226%24 Jul
dust213–100.0026%23 Jul
ancient13–20.0026%23 Jul
ancient8–13-0.0523%22 Jul
ancient13–110.0221%22 Jul
inferno13–70.0342%21 Jul
inferno9–13-0.1125%21 Jul
mirage13–110.0114%18 Jul
mirage13–100.0319%17 Jul
inferno6–13-0.0424%17 Jul
nuke13–70.0121%2 Jul
cache13–70.0125%30 Jun
dust23–13-0.0322%6 Jun
inferno13–7-0.0519%6 Jun
mirage6–13-0.0321%6 Jun
nuke5–13-0.0220%11 May
mirage9–130.0625%11 May
dust211–13-0.0718%11 May
inferno9–13-0.0127%11 May
anubis3–13-0.058%1 May
dust27–13-0.0028%1 May
dust213–4-0.0624%1 May
mirage15–15-0.0122%30 Apr
inferno11–13-0.0516%30 Apr
anubis5–13-0.0626%30 Apr
cache6–13-0.0925%30 Apr
ancient13–50.0023%29 Apr
ancient13–2-0.0225%29 Apr
dust213–11-0.0116%29 Apr
cache13–11-0.0118%29 Apr
dust29–13-0.0719%28 Apr
overpass13–8-0.0115%28 Apr
ancient13–110.0615%26 Apr
dust29–130.0521%26 Apr
anubis13–2-0.0327%26 Apr
mirage13–11-0.0520%26 Apr
nuke13–11-0.0142%26 Apr
inferno9–13-0.0219%12 Apr
inferno15–15-0.0032%11 Apr
nuke13–11-0.0019%9 Apr
anubis13–80.0131%8 Apr
anubis15–15-0.0313%5 Apr
mirage13–9-0.019%5 Apr
dust213–11-0.0119%4 Apr
ancient6–13-0.0223%4 Apr
overpass13–4-0.0429%4 Apr
overpass16–140.0219%4 Apr
dust26–13-0.0126%3 Apr
dust29–13-0.0238%3 Apr
dust213–2-0.0214%3 Apr
mirage15–15-0.0116%3 Apr
dust213–110.0422%3 Apr
dust213–3-0.0224%3 Apr
anubis13–100.0117%31 Mar

Match data via Leetify.

Recent teammates

Milestones

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