jorran

jorran — CS2 Stats

SE76561198209925539[U:1:249659811]Steam profile ↗✓ No bans

437Tracked matches44%Win rate2022Tracked since
844Hours in CS8Hrs last 2 wks
CSDB Rating5.4 DevelopingPositional Player
WingmanMaster Guardian II
Ladder ranks via Leetify
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. 46 days played since 26 May 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 14,939 -60 6 Jun26 Jun · 3 days played
14,58514,999peak 14,9996 Jun26 Jun
14,999Peak Premier in tracked matches
46Days played since 2026-05-26

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches2
Win rate50%
K/D0.73
Headshot %66%

Measured 14 Sep 202620 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.

Performance scores

Aim65
Positioning63
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY47485Last 10047%Win rateTWWLWWLLLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −0.6pp headshot accuracy · −14ms reaction

Win rate +10pp 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

  • 311 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 577ms

Last 10

  • 541 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 597ms

Last 20

  • 992 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • 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 PlayerPositioning stands above the rest of this profile (+2.6 against its own average).

Aim6.5
Utility4.5
Positioning6.3
Opening Duels4.0
Clutch0.0

Strong T-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

iM

Plays most like iM 85% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

CT openings. Opening success drops from 53% on T to 34% on CT — first contacts on the defending side are being lost.

Reaction time. 614ms 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

Aim6.5
Positioning6.3
Utility4.5
Mechanics5.9
Opening Duels3.3
Win Impact3.1

Composite 5.4/10 (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-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time618ms−55ms
first ⅓ avg 673ms → last ⅓ avg 618ms
Headshot accuracy13.4%−0.1%
first ⅓ avg 13.5% → last ⅓ avg 13.4%

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

0.20Best match rating · 9–0 · nuke, 8 Aug
27%Best headshot accuracy · 13–10 · mirage, 11 Sept
422msFastest reaction time · 13–6 · ancient, 3 Sept
13–0Biggest win · dust2, 6 Sept

Across the last 100 tracked matches.

Highlights

5Longest win streak
76In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 76% over 21ancientWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
cacheS2116576%0.01
mirageB168850%0.00
dust2C135838%0.02
ancientD91811%-0.02
anubisS96367%-0.00
nukeD82625%-0.03
vertigoD62433%-0.03
infernoB63350%-0.01
trainD62433%-0.04
office41325%-0.01
overpass110100%-0.06
boulder1010%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,791Lifetime kills
0.82K/D
1,240Matches
28.1%Match win rate
40.4%Headshot %
0.4%Shot accuracy
1,415MVPs
644Hours (in match)
742Bombs planted
160Bombs defused

Most-used weapons

Lifetime map wins

975dust2
628inferno
530nuke
353vertigo
236train
132office
23ar_shoots
12ar_baggage

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

Faceit stats

Combat

7Matches
57%Win rate
1.23Avg K/D
85.1ADR
35%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust2250%1.2217.5
Ancient250%1.5716.5
Anubis250%0.9423.0
Cache1100%1.1622.0

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.

13.5%Headshot accuracy
34.9%Accuracy (enemy spotted)
42.0%Spray accuracy
76.7%Counter-strafing
9.3°Preaim
614msReaction time
52.5%T opening success
34.0%CT opening success
0.53Enemies flashed / flash
3.2%Flash assists
9.07HE damage / grenade
6.53Flashes / 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 13.4721% — below the 15% mark we flag

    Aim Training
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.0086% — below the 40% mark we flag

Spend your practice time on Ancient

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke12–12-0.0317%18 Sept
vertigo13–7-0.0420%18 Sept
mirage13–100.0427%11 Sept
mirage9–130.0516%10 Sept
cache13–30.0414%6 Sept
dust213–00.0314%6 Sept
mirage7–13-0.147%6 Sept
office11–130.0211%4 Sept
ancient9–13-0.088%3 Sept
anubis19–15-0.038%3 Sept
ancient13–60.0517%3 Sept
dust213–8-0.0123%1 Sept
anubis12–12-0.0520%1 Sept
cache13–20.037%28 Aug
dust25–13-0.0120%27 Aug
anubis5–130.0212%27 Aug
ancient4–13-0.0925%25 Aug
cache13–8-0.063%25 Aug
inferno4–9-0.0811%25 Aug
vertigo3–9-0.0711%25 Aug
dust25–130.1013%25 Aug
ancient10–13-0.016%24 Aug
ancient10–13-0.009%22 Aug
ancient3–13-0.016%22 Aug
cache1–2-0.0617%19 Aug
mirage10–130.019%19 Aug
train13–90.0418%16 Aug
train13–70.0412%16 Aug
cache13–110.0117%11 Aug
dust27–13-0.048%11 Aug
dust212–120.0312%10 Aug
mirage7–130.0213%10 Aug
dust213–110.0112%10 Aug
nuke5–9-0.1622%9 Aug
nuke2–9-0.1711%9 Aug
nuke9–00.096%9 Aug
inferno7–90.0113%9 Aug
inferno5–9-0.0315%9 Aug
overpass9–3-0.0614%8 Aug
nuke9–00.2024%8 Aug
nuke7–9-0.1013%8 Aug
inferno9–60.027%8 Aug
inferno9–70.0110%8 Aug
cache13–60.0411%7 Aug
mirage13–8-0.0122%7 Aug
inferno13–6-0.0015%7 Aug
mirage10–13-0.0317%6 Aug
nuke7–13-0.0510%6 Aug
anubis13–80.0215%6 Aug
mirage13–3-0.0117%6 Aug
mirage13–100.0213%4 Aug
dust27–13-0.0315%4 Aug
anubis13–4-0.036%4 Aug
mirage13–8-0.038%4 Aug
mirage13–40.1215%4 Aug
cache10–13-0.117%4 Aug
boulder5–13-0.0215%3 Aug
cache13–9-0.084%3 Aug
mirage8–13-0.0118%3 Aug
ancient3–10-0.049%3 Aug
ancient13–160.0217%3 Aug
dust210–130.0416%31 Jul
vertigo7–13-0.0321%29 Jul
vertigo11–13-0.0914%29 Jul
dust29–13-0.0224%28 Jul
mirage11–13-0.0411%28 Jul
anubis13–110.059%27 Jul
anubis13–20.0320%27 Jul
cache13–50.0717%15 Jul
ancient12–12-0.0318%14 Jul
dust213–8-0.0118%9 Jul
mirage3–13-0.079%9 Jul
dust213–00.088%9 Jul
office10–13-0.0218%8 Jul
office13–1-0.0521%8 Jul
office3–120.0215%8 Jul
cache13–70.0610%2 Jul
cache7–130.0512%1 Jul
cache12–12-0.0414%1 Jul
cache13–8-0.018%28 Jun
cache10–30.0715%28 Jun
mirage13–110.0316%26 Jun
train3–13-0.080%20 Jun
train3–13-0.110%20 Jun
train1–13-0.0825%20 Jun
train0–13-0.070%20 Jun
nuke9–130.0213%15 Jun
cache13–70.046%13 Jun
cache13–110.0516%8 Jun
cache13–11-0.0215%7 Jun
mirage13–10.1014%6 Jun
dust29–130.0416%6 Jun
vertigo10–130.0119%4 Jun
vertigo13–20.039%3 Jun
cache6–130.0024%29 May
cache13–70.0212%28 May
cache13–70.0718%27 May
anubis5–13-0.0420%27 May
anubis13–60.0215%27 May
cache13–50.045%26 May

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 →