szpej

szpej — CS2 Stats

PL76561198795086122[U:1:834820394]Steam profile ↗✓ No bans

471Tracked matches68%Win rate2026Tracked since
369Hours in CS19Hrs last 2 wks
CSDB Rating6.0 SolidClutch Specialist
Premier CS Rating5,449Light Blue band · top ~76.7% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). 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: 5,449 -3,086 10 Sept – 13 Nov · 20 days played
5,44914,094peak 14,09410 Sept13 Nov
14,094Peak Premier in tracked matches
26Days played since 2026-09-10

Premier CS Rating

  • 8,645 below peak (14,094)
  • -6,971 over 30 days · declining
  • Next: Blue band at 10,000 — 4,551 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-14
  • Light 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches42171−129
Win rate57%54%+3pp
K/D0.950.86+0.08
Headshot %46%47%−1pp

Measured 20 Oct 2026 → 14 Nov 2026; previous 14 Sep 2026 → 20 Oct 2026.

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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate42.0%39.9%42.0%meets
Shot accuracy0.0%7.0%9.6%9.6% short
Kill/death ratio0.860.920.980.12 short
Match win rate48.8%42.3%43.8%above

This profile matches the typical Blue band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGszpejPREMIER5,449 · Light Blue 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

Aim75
Positioning59
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY54–32–14Last 10054%Win rateWTWLLLWWWL

Last 10 vs previous 10: −10pp win rate · −0.07 avg rating · −7.3pp headshot accuracy · +162ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 10%
  • Avg reaction 720ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 716ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 634ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.8 against its own average).

Aim7.5
Utility4.9
Positioning5.9
Opening Duels4.2
Clutch7.4

Strong CT-side openerReliable in 1v1s

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

m0NESY

Plays most like m0NESY 93% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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. 621ms 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

Aim7.5
Positioning5.9
Utility4.9
Mechanics6.1
Opening Duels6.0
Win Impact10.0

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time646ms−3ms
first ⅓ avg 649ms → last ⅓ avg 646ms
Headshot accuracy19.5%+4.4%
first ⅓ avg 15.1% → last ⅓ avg 19.5%

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

0.19Best match rating · 9–2 · nuke, 1 Oct →
42%Best headshot accuracy · 13–8 · dust2, 22 Oct →
375msFastest reaction time · 7–9 · nuke, 25 Sept →
13–0Biggest win · dust2, 18 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
6–3In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 75% over 8infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
nukeA5128–2355%0.01
dust2S139–469%0.01
mirageA95–456%-0.01
ancientS86–275%-0.03
infernoD62–433%-0.02
anubis—41–325%0.00
cache—33–0100%-0.01
vertigo—20–20%-0.07
office—20–20%-0.04
debris—10–10%-0.22
eldorado—10–10%-0.13

Across the last 100 tracked matches.

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

Lifetime stats

8,743Lifetime kills
0.86K/D
774Matches
48.8%Match win rate · Top 10% of Light Blue band
42.0%Headshot % · Top 50% of Light Blue band
0.0%Shot accuracy
2,202MVPs
205Hours (in match)
920Bombs planted
125Bombs defused

Most-used weapons

Lifetime map wins

3,125nuke
537dust2
271inferno
108vertigo
63train
14office

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

Faceit stats

Combat

19Matches
53%Win rate
0.82Avg K/D
69.4ADR
42%Headshot %

Clutches & streaks

57%1v1 clutch win
20%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke560%0.9112.6
Mirage560%0.9013.4
Dust2450%0.7614.0
Ancient333%0.8214.3
Anubis250%0.5011.0

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.

20.9%Headshot accuracy
37.4%Accuracy (enemy spotted)
43.9%Spray accuracy
77.2%Counter-strafing
10.6°Preaim
621msReaction time
49.2%T opening success
58.7%CT opening success
0.60Enemies flashed / flash
6.7%Flash assists
7.92HE damage / grenade
11.00Flashes / match

Recommended for you

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–110.0219%13 Nov →
anubis15–150.0312%13 Nov →
ancient13–11-0.140%12 Nov →
anubis8–13-0.057%11 Nov →
vertigo1–9-0.1713%11 Nov →
nuke6–9-0.0214%11 Nov →
cache13–8-0.0128%5 Nov →
nuke13–10-0.0415%5 Nov →
dust213–90.0121%1 Nov →
office10–13-0.0715%1 Nov →
inferno8–8-0.0719%1 Nov →
mirage10–13-0.0216%1 Nov →
office3–13-0.0126%30 Oct →
ancient13–30.0431%23 Oct →
nuke13–50.1010%23 Oct →
dust213–70.0721%22 Oct →
ancient13–4-0.0329%22 Oct →
nuke13–40.0624%22 Oct →
dust213–40.0416%22 Oct →
ancient2–130.0124%22 Oct →
inferno10–130.0326%22 Oct →
dust213–80.0542%22 Oct →
dust213–7-0.0233%21 Oct →
dust215–150.0822%21 Oct →
anubis6–130.0627%20 Oct →
mirage13–9-0.0017%18 Oct →
dust213–0-0.0014%18 Oct →
mirage4–13-0.0822%16 Oct →
cache13–9-0.0521%16 Oct →
ancient13–100.0030%16 Oct →
nuke9–5-0.0915%16 Oct →
nuke8–8-0.188%16 Oct →
nuke9–2-0.028%16 Oct →
ancient8–13-0.0424%16 Oct →
dust213–6-0.0411%16 Oct →
nuke3–9-0.1325%14 Oct →
nuke9–20.087%14 Oct →
nuke9–30.0915%14 Oct →
nuke9–70.0918%14 Oct →
nuke9–50.1115%14 Oct →
nuke2–9-0.1718%11 Oct →
nuke6–9-0.0320%11 Oct →
nuke1–9-0.1128%11 Oct →
nuke9–30.1622%11 Oct →
nuke9–70.0715%11 Oct →
nuke13–40.0413%10 Oct →
mirage13–70.0314%10 Oct →
nuke4–9-0.1414%10 Oct →
nuke8–80.0116%10 Oct →
nuke5–9-0.156%10 Oct →
nuke8–8-0.0413%10 Oct →
mirage13–5-0.0118%10 Oct →
nuke9–7-0.0111%10 Oct →
nuke9–50.1416%10 Oct →
nuke2–9-0.119%10 Oct →
nuke9–10.084%10 Oct →
inferno3–9-0.1215%10 Oct →
nuke8–80.015%10 Oct →
nuke9–60.1619%10 Oct →
nuke8–80.0821%9 Oct →
nuke7–90.058%9 Oct →
nuke9–0-0.0125%4 Oct →
nuke9–50.0416%4 Oct →
nuke9–50.1014%4 Oct →
nuke3–9-0.016%4 Oct →
nuke9–3-0.0414%4 Oct →
dust23–6-0.0540%3 Oct →
ancient13–8-0.0116%3 Oct →
mirage15–150.0318%3 Oct →
mirage10–13-0.0819%3 Oct →
dust28–13-0.047%3 Oct →
ancient16–14-0.0715%2 Oct →
nuke7–90.0211%1 Oct →
nuke9–3-0.0714%1 Oct →
inferno9–00.1023%1 Oct →
nuke9–20.1917%1 Oct →
nuke8–8-0.0814%1 Oct →
nuke9–50.0510%1 Oct →
nuke9–30.1117%1 Oct →
nuke9–5-0.0912%1 Oct →
cache13–90.0416%1 Oct →
dust213–100.0714%1 Oct →
mirage5–10.065%1 Oct →
inferno13–10-0.0513%1 Oct →
dust213–50.0320%30 Sept →
nuke13–30.0116%29 Sept →
nuke8–8-0.0521%28 Sept →
inferno6–9-0.0221%28 Sept →
debris3–9-0.2211%27 Sept →
eldorado5–9-0.1312%27 Sept →
anubis13–10-0.0315%27 Sept →
nuke2–13-0.0416%27 Sept →
vertigo9–130.0316%27 Sept →
nuke7–90.1218%25 Sept →
nuke8–8-0.1413%25 Sept →
nuke9–50.0915%25 Sept →
dust28–13-0.027%25 Sept →
nuke8–8-0.0311%23 Sept →
nuke9–30.1030%23 Sept →
nuke8–8-0.0614%23 Sept →

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 →

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