jorran

jorran — CS2 Stats

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

474Tracked matches60%Win rate2022Tracked since
922Hours in CS25Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (32 days ago). Ranks are recorded once per day this page is viewed.

+34Tracked matches · now 474
+13.6ppWin rate · 46.4% → 60.0%

Rating over time

45Days played since 2026-07-29

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
Matches61——
Win rate62%——
K/D0.82——
Headshot %51%——

Measured 24 Sep 2026 → 26 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.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,617), 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 4 medianLevel 5 medianvs Level 5
Headshot rate41.2%42.7%43.8%2.6% short
Shot accuracy0.4%11.2%12.0%11.6% short
Kill/death ratio0.820.991.020.20 short
Match win rate29.9%43.9%44.7%14.8% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGjorranFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim66
Positioning60
Utility48

0–100 skill scores via Leetify.

Recent form

HOT51–46–3Last 10051%Win rateWWLWLWWLWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −3.3pp headshot accuracy · +35ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 580ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 593ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 575ms

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 (+1.5 against its own average).

Aim6.6
Utility4.8
Positioning6.0
Opening Duels2.2
Clutch4.8

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

NiKo

Plays most like NiKo 85% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 565ms 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

Aim6.6
Positioning6.0
Utility4.8
Mechanics6.1
Opening Duels2.8
Win Impact8.3

Composite 5.9/10 (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 rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time574ms−110ms
first ⅓ avg 684ms → last ⅓ avg 574ms
Headshot accuracy16.0%+2.6%
first ⅓ avg 13.4% → last ⅓ avg 16.0%

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.

Personal bests

0.20Best match rating · 9–0 · nuke, 8 Aug →
40%Best headshot accuracy · 8–6 · rush_001, 12 Oct →
422msFastest reaction time · 13–6 · ancient, 3 Sept →
13–0Biggest win · dust2, 2 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
7–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 82% over 11ancientWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB2110–1148%-0.00
ancientD144–1029%-0.02
dust2C125–742%0.01
cacheS119–282%0.00
nukeD93–633%-0.03
anubisS96–367%-0.01
infernoA95–456%0.01
trainS54–180%0.01
vertigo—41–325%-0.05
overpass—22–0100%-0.05
office—21–150%0.04
rush_001—11–0100%-0.07
boulder—10–10%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,643Lifetime kills
0.82K/D
1,311Matches
29.9%Match win rate
41.2%Headshot %
0.4%Shot accuracy
1,658MVPs
683Hours (in match)
805Bombs planted
229Bombs defused

Most-used weapons

Lifetime map wins

1,012dust2
661inferno
565nuke
359vertigo
275train
145office
25ar_shoots
12ar_baggage

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

Faceit stats

Combat

24Matches
54%Win rate
1.13Avg K/D
73.8ADR
41%Headshot %

Clutches & streaks

44%1v1 clutch win
17%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient743%1.0412.3
Mirage633%1.3516.8
Anubis580%1.0216.2
Dust2450%1.0814.8
Nuke1100%1.2018.0
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.

14.9%Headshot accuracy
34.4%Accuracy (enemy spotted)
39.8%Spray accuracy
77.5%Counter-strafing
10.4°Preaim
565msReaction time
40.8%T opening success
41.7%CT opening success
0.53Enemies flashed / flash
6.0%Flash assists
10.83HE damage / grenade
5.58Flashes / 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. 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 14.8913% — below the 15% mark we flag

    Aim Training →
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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–60.0213%25 Oct →
nuke13–80.0323%25 Oct →
ancient5–13-0.0519%25 Oct →
mirage13–90.0311%23 Oct →
mirage10–13-0.038%23 Oct →
mirage13–11-0.0717%23 Oct →
anubis13–50.0211%22 Oct →
mirage16–19-0.0212%22 Oct →
cache13–70.0811%21 Oct →
cache13–40.1521%21 Oct →
mirage14–16-0.0512%18 Oct →
anubis13–70.0218%18 Oct →
ancient8–13-0.0113%18 Oct →
ancient11–13-0.0717%15 Oct →
inferno13–20.1217%14 Oct →
rush_0018–6-0.0740%12 Oct →
ancient16–140.056%11 Oct →
nuke10–13-0.0418%10 Oct →
train11–13-0.0514%7 Oct →
train13–70.0427%7 Oct →
mirage18–22-0.0412%5 Oct →
dust213–00.0311%2 Oct →
train13–3-0.0126%2 Oct →
dust29–13-0.0523%30 Sept →
overpass13–6-0.0420%28 Sept →
inferno7–13-0.0211%28 Sept →
cache13–2-0.026%28 Sept →
ancient13–9-0.089%26 Sept →
ancient13–2-0.0017%26 Sept →
mirage5–13-0.1025%26 Sept →
anubis13–7-0.0112%25 Sept →
mirage13–20.1222%25 Sept →
office13–110.058%24 Sept →
vertigo6–13-0.0613%23 Sept →
inferno13–70.1019%23 Sept →
mirage13–100.1212%22 Sept →
nuke12–12-0.0317%18 Sept →
vertigo13–7-0.0420%18 Sept →
anubis15–19-0.0418%13 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 →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.