JolteN

JolteN — CS2 Stats

76561197967194588[U:1:6928860]Steam profile ↗✓ No bans

4,649Tracked matches39%Win rate2020Tracked since
5,642Hours in CS
CSDB Rating5.6 SolidSupport
Premier CS Rating15,890Purple band · top ~24.9% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,890 +3,356 30 Aug – 26 Oct · 28 days played
11,76821,024peak 21,02430 Aug26 Oct
21,718Peak Premier in tracked matches
26Days played since 2026-08-30

Premier CS Rating

  • 5,134 below peak (21,024)
  • -689 over 30 days · declining
  • Next: Pink band at 20,000 — 4,110 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-10-05
  • Blue band first seen 2026-08-30

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

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), 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 rate38.1%42.7%43.8%5.7% short
Shot accuracy10.6%11.2%12.0%1.4% short
Kill/death ratio0.860.991.020.16 short
Match win rate45.4%43.9%44.7%meets

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. 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.GGJolteNFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER15,890 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim58
Positioning71
Utility71

0–100 skill scores via Leetify.

Recent form

COLD50–44–6Last 10050%Win rateLLLLWLLWLL

Last 10 vs previous 10: −20pp win rate · +0.04 avg rating · +2.4pp headshot accuracy · +12ms reaction

Win rate down 20pp 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 (+0.04), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 614ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 595ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 590ms

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: Support — Utility contribution stands above the rest of this profile (+1.5 against its own average).

Aim5.8
Utility7.1
Positioning7.1
Opening Duels3.7
Clutch4.6

Effective flashes

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

ZywOo

Plays most like ZywOo 69% 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

Strengths

T openings. 67% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 67% on T to 47% on CT — first contacts on the defending side are being lost.

Reaction time. 574ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.8
Positioning7.1
Utility7.1
Mechanics3.4
Opening Duels6.8
Win Impact1.4

Composite 5.6/10 (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 0.00 → last ⅓ avg -0.00
Reaction time587ms+35ms
first ⅓ avg 552ms → last ⅓ avg 587ms
Headshot accuracy14.0%+0.0%
first ⅓ avg 14.0% → last ⅓ avg 14.0%

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

0.16Best match rating · 13–1 · nuke, 16 Oct →
38%Best headshot accuracy · 11–13 · ancient, 25 Oct →
438msFastest reaction time · 13–9 · anubis, 23 Oct →
13–0Biggest win · inferno, 17 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L4Current streak
6–8In matches decided by ≤2 rounds
17Overtime games

Map breakdown

cacheBest map · 71% over 7anubisWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
nukeA2113–862%0.01
infernoA1811–761%-0.01
dust2C176–1135%-0.01
ancientA159–660%0.02
mirageD144–1029%-0.01
anubisD82–625%-0.02
cacheS75–271%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

205,923Lifetime kills
0.86K/D
11,836Matches
45.4%Match win rate · Top 50% of Level 4 players
38.1%Headshot %
10.6%Shot accuracy
23,986MVPs
5,642Hours (in match)
17,401Bombs planted
3,030Bombs defused

Most-used weapons

AK-4759,474
AWP18,796
Galil AR10,489
FAMAS6,989
MP96,117
MAC-104,313

Lifetime map wins

54,667nuke
23,819inferno
11,511dust2
7,002vertigo
1,977train
539office
285cbble
11italy

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

Faceit stats

Combat

136Matches
51%Win rate
0.94Avg K/D
75.9ADR
41%Headshot %

Clutches & streaks

43%1v1 clutch win
17%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke3070%1.1114.9
Mirage3053%0.8813.8
Inferno1533%1.0414.9
Anubis1429%0.9112.8
Vertigo1354%0.8411.1
Ancient1346%0.8914.5
Dust21136%0.8114.6
Overpass3100%1.3015.7

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.

14.5%Headshot accuracy
36.1%Accuracy (enemy spotted)
38.3%Spray accuracy
65.1%Counter-strafing
9.8°Preaim
574msReaction time
67.3%T opening success
46.8%CT opening success
0.70Enemies flashed / flash
5.1%Flash assists
13.06HE damage / grenade
12.68Flashes / 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 14.4586% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Anubis

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–130.0520%26 Oct →
mirage8–13-0.047%26 Oct →
dust213–160.0213%25 Oct →
dust26–13-0.0614%25 Oct →
nuke13–60.0723%25 Oct →
inferno6–13-0.0217%25 Oct →
ancient5–130.0613%25 Oct →
cache13–11-0.029%25 Oct →
ancient11–130.0338%25 Oct →
nuke10–130.0313%25 Oct →
dust211–13-0.0315%25 Oct →
cache12–7-0.0423%25 Oct →
inferno13–7-0.0218%24 Oct →
dust20–7-0.0413%24 Oct →
anubis7–13-0.0811%24 Oct →
ancient13–70.0313%24 Oct →
inferno4–13-0.0413%23 Oct →
inferno11–13-0.0412%23 Oct →
inferno5–130.0018%23 Oct →
nuke13–90.017%23 Oct →
nuke13–60.0611%23 Oct →
inferno15–15-0.0117%23 Oct →
anubis13–9-0.0015%23 Oct →
mirage15–15-0.0015%22 Oct →
inferno13–6-0.004%22 Oct →
nuke13–1-0.019%22 Oct →
mirage13–20.0216%22 Oct →
anubis9–13-0.0119%21 Oct →
nuke1–13-0.047%21 Oct →
anubis12–16-0.067%21 Oct →
nuke13–70.0112%21 Oct →
anubis6–130.0612%20 Oct →
nuke15–15-0.0110%20 Oct →
dust215–15-0.036%20 Oct →
dust213–20.0613%20 Oct →
dust213–7-0.0310%20 Oct →
ancient16–14-0.0012%19 Oct →
inferno4–13-0.0121%19 Oct →
nuke13–90.102%19 Oct →
mirage6–13-0.0323%18 Oct →
dust26–13-0.0112%18 Oct →
mirage3–13-0.0319%17 Oct →
dust213–5-0.0019%17 Oct →
mirage8–13-0.0214%17 Oct →
inferno13–00.025%17 Oct →
anubis11–13-0.0514%16 Oct →
cache13–80.029%16 Oct →
ancient8–13-0.0321%16 Oct →
nuke13–10.1612%16 Oct →
nuke13–6-0.0218%16 Oct →
nuke9–13-0.0124%16 Oct →
dust213–9-0.018%15 Oct →
inferno4–13-0.117%14 Oct →
dust213–16-0.0210%14 Oct →
cache6–13-0.1111%14 Oct →
nuke10–13-0.0516%13 Oct →
nuke2–13-0.0510%13 Oct →
inferno13–10-0.005%13 Oct →
inferno16–13-0.0411%13 Oct →
mirage13–11-0.0412%13 Oct →
anubis13–60.0320%13 Oct →
nuke11–13-0.059%11 Oct →
nuke13–160.0015%11 Oct →
nuke13–70.0210%11 Oct →
cache13–70.024%11 Oct →
cache16–12-0.0210%11 Oct →
dust28–13-0.0115%11 Oct →
ancient11–30.1223%11 Oct →
inferno13–60.0310%11 Oct →
ancient13–80.049%11 Oct →
nuke13–6-0.0516%11 Oct →
ancient13–11-0.019%10 Oct →
ancient13–40.0515%10 Oct →
ancient6–13-0.0410%9 Oct →
ancient13–70.0711%9 Oct →
mirage13–16-0.0613%7 Oct →
mirage5–13-0.0614%7 Oct →
inferno16–120.0110%6 Oct →
ancient11–13-0.0811%6 Oct →
ancient11–130.0013%6 Oct →
cache15–15-0.0011%6 Oct →
dust26–13-0.0414%5 Oct →
dust213–90.0113%5 Oct →
mirage15–15-0.0212%5 Oct →
mirage13–7-0.0116%5 Oct →
nuke13–9-0.0218%4 Oct →
anubis6–13-0.0413%3 Oct →
inferno13–110.0015%3 Oct →
mirage7–13-0.0111%3 Oct →
inferno13–50.0416%30 Sept →
inferno13–9-0.0110%30 Sept →
nuke13–6-0.0221%29 Sept →
dust213–80.0025%29 Sept →
nuke16–14-0.0212%28 Sept →
ancient16–120.046%28 Sept →
dust27–130.0710%28 Sept →
dust29–13-0.0422%27 Sept →
inferno13–50.0223%27 Sept →
mirage13–100.0617%27 Sept →
ancient13–90.0417%27 Sept →

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 →

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