Jespa

Jespa — CS2 Stats

FI76561198243019814[U:1:282754086]Steam profile ↗✓ No bans

1,573Tracked matches62%Win rate2020Tracked since
2,276Hours in CS5Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
Premier CS Rating16,885Purple band · top ~20.9% of ranked players (population est.)
FaceitLevel 7 · 1,505 ELOTop 42.3% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (8 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: 16,885 -1,894 21 Mar – 28 Oct · 30 days played
12,77318,779peak 18,77921 Mar28 Oct
18,820Peak Premier in tracked matches
1,505Highest Faceit ELO seen on CSDB
38Days played since 2026-03-21

Faceit ELO

  • At peak — 1,505
  • Next: Level 8 at 1,531 — 26 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier CS Rating

  • 1,894 below peak (18,779)
  • +2,983 over 30 days · improving
  • +1,347 over 90 days
  • Next: Pink band at 20,000 — 3,115 to go
  • Reached: Purple band · Blue band · Light Blue band

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 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate39.9%45.7%46.8%6.9% short
Shot accuracy8.1%12.7%13.0%4.9% short
Kill/death ratio1.001.051.060.06 short
Match win rate41.5%45.7%46.3%4.8% short

This profile sits below the typical Level 8 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJespaFACEITLevel 7 · 1,505 ELOSTANDINGTop 42.3% of rankedPREMIER16,885 · Purple bandPEAK ELO1,505csdb.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

Aim72
Positioning64
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateLWLWWLWLLW

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · −4.7pp headshot accuracy · +5ms 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 502ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 506ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 503ms

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 (+1.9 against its own average).

Aim7.2
Utility5.3
Positioning6.4
Opening Duels3.6
Clutch2.6

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 89% playstyle similarity

Most alike: opening-duel success, 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. 62% T opening-duel success — entries that actually open the round.

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
Positioning6.4
Utility5.3
Mechanics5.3
Opening Duels6.4
Win Impact9.0

Composite 6.6/10 (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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time483ms−87ms
first ⅓ avg 570ms → last ⅓ avg 483ms
Headshot accuracy21.1%+4.6%
first ⅓ avg 16.5% → last ⅓ avg 21.1%

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

0.13Best match rating · 13–2 · anubis, 8 Sept →
39%Best headshot accuracy · 6–13 · dust2, 23 Oct →
344msFastest reaction time · 13–7 · inferno, 27 Sept →
13–0Biggest win · dust2, 12 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–10In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 82% over 11mirageWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
infernoC208–1240%0.01
nukeC187–1139%-0.01
mirageC176–1135%-0.01
dust2B137–654%-0.00
cacheS119–282%-0.02
anubisA117–464%0.02
ancientA74–357%0.02
overpass—20–20%-0.04
vertigo—11–0100%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (35% over 17). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

62,541Lifetime kills
1.00K/D
3,399Matches
41.5%Match win rate
39.9%Headshot %
8.1%Shot accuracy
6,935MVPs
1,450Hours (in match)
3,357Bombs planted
680Bombs defused

Most-used weapons

AK-4721,199
AWP9,166
P901,722
MP91,148
MP7986

Lifetime map wins

4,946inferno
4,679nuke
3,269dust2
1,406vertigo
1,040train
727cbble
137office
69dust

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

Faceit stats

Combat

307Matches
53%Win rate
1.02Avg K/D
79.0ADR
43%Headshot %

Clutches & streaks

33%1v1 clutch win
16%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage7253%0.9914.7
Nuke5362%1.1815.9
Inferno4751%1.1215.6
Ancient3152%0.9013.6
Dust22650%0.9215.2
Vertigo2650%1.1115.0
Anubis1527%0.9014.5
Overpass1377%1.0816.0

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.

21.6%Headshot accuracy
30.5%Accuracy (enemy spotted)
29.3%Spray accuracy
74.0%Counter-strafing
8.5°Preaim
474msReaction time
61.7%T opening success
49.2%CT opening success
0.45Enemies flashed / flash
3.2%Flash assists
7.70HE damage / grenade
8.12Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4465 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke11–13-0.0115%28 Oct →
dust213–110.0218%28 Oct →
dust26–13-0.0239%23 Oct →
mirage13–8-0.047%22 Oct →
dust213–100.0915%19 Oct →
inferno11–130.0017%19 Oct →
mirage13–9-0.0022%18 Oct →
mirage10–13-0.0011%18 Oct →
inferno7–130.0231%12 Oct →
dust213–00.1220%12 Oct →
cache13–70.0532%12 Oct →
mirage11–130.0224%12 Oct →
mirage13–100.0928%8 Oct →
cache13–90.0225%8 Oct →
dust25–13-0.0623%4 Oct →
ancient13–7-0.0218%4 Oct →
anubis13–7-0.0416%4 Oct →
inferno15–150.0317%2 Oct →
nuke4–1-0.0425%2 Oct →
cache13–5-0.0536%2 Oct →
inferno9–130.0633%29 Sept →
cache13–9-0.0233%29 Sept →
dust216–14-0.0023%29 Sept →
anubis13–60.0213%27 Sept →
inferno13–70.0313%27 Sept →
nuke16–140.0128%26 Sept →
cache13–70.0021%26 Sept →
nuke8–13-0.0412%23 Sept →
anubis13–160.0419%16 Sept →
anubis10–13-0.0022%15 Sept →
inferno13–90.0320%15 Sept →
mirage13–160.003%14 Sept →
inferno4–13-0.0718%14 Sept →
ancient13–70.0124%12 Sept →
inferno11–130.0125%8 Sept →
dust23–13-0.0123%8 Sept →
anubis13–20.1319%8 Sept →
mirage10–13-0.0428%7 Sept →
nuke13–70.0719%7 Sept →
mirage5–13-0.068%7 Sept →
mirage13–100.0819%6 Sept →
dust26–13-0.0811%5 Sept →
ancient13–160.0418%5 Sept →
inferno13–9-0.0426%5 Sept →
anubis13–60.0129%5 Sept →
ancient5–13-0.0311%4 Sept →
dust213–110.0125%4 Sept →
mirage11–13-0.0221%4 Sept →
anubis5–13-0.0025%31 Aug →
nuke2–13-0.0910%31 Aug →
cache13–5-0.0415%31 Aug →
inferno8–13-0.0221%31 Aug →
nuke13–10-0.0625%30 Aug →
ancient10–130.1014%30 Aug →
cache5–13-0.0212%30 Aug →
inferno10–13-0.0518%30 Aug →
nuke4–130.0127%21 Aug →
inferno13–70.0211%21 Aug →
nuke9–13-0.0215%21 Aug →
nuke13–10-0.017%16 Aug →
dust213–9-0.029%16 Aug →
dust213–6-0.0110%13 Aug →
cache13–11-0.0330%13 Aug →
mirage10–130.016%12 Aug →
anubis16–13-0.0018%12 Aug →
inferno13–110.0718%11 Aug →
mirage5–13-0.0516%11 Aug →
inferno13–70.0518%10 Aug →
inferno8–13-0.0431%10 Aug →
nuke7–13-0.0114%8 Aug →
inferno13–110.0212%8 Aug →
anubis16–14-0.0113%8 Aug →
vertigo9–5-0.0523%8 Aug →
inferno11–13-0.0118%7 Aug →
nuke16–13-0.0110%7 Aug →
inferno6–13-0.0324%7 Aug →
nuke10–130.0125%7 Aug →
nuke13–30.0619%7 Aug →
nuke4–9-0.0220%7 Aug →
cache11–13-0.0520%6 Aug →
mirage13–10.0233%6 Aug →
nuke11–13-0.0120%6 Aug →
anubis8–130.019%4 Aug →
cache9–1-0.077%4 Aug →
cache13–0-0.0517%4 Aug →
ancient13–70.0515%4 Aug →
anubis13–30.049%4 Aug →
mirage5–13-0.019%31 Jul →
dust29–13-0.0317%31 Jul →
inferno6–13-0.0114%31 Jul →
dust25–13-0.0515%29 Jul →
nuke15–150.0422%29 Jul →
mirage6–13-0.0614%22 Mar →
overpass7–13-0.0414%22 Mar →
inferno13–80.0512%22 Mar →
nuke11–13-0.018%22 Mar →
mirage13–8-0.0417%21 Mar →
ancient13–80.0021%21 Mar →
mirage1–13-0.1411%21 Mar →
overpass14–16-0.0415%21 Mar →

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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