PreXx

PreXx — CS2 Stats

CH76561198340609802[U:1:380344074]Steam profile ↗✓ No bans

605Tracked matches53%Win rate2022Tracked since
1,356Hours in CS6Hrs last 2 wks
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating12,124Blue band · top ~43.6% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (4 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: 12,124 +5,000 11 Apr – 29 Oct · 29 days played
5,85412,604peak 12,60411 Apr29 Oct
12,956Peak Premier in tracked matches
683Highest Faceit ELO seen on CSDB
42Days played since 2026-04-11

Faceit ELO

  • At peak — 683
  • Next: Level 3 at 751 — 68 to go
  • Reached: Level 2

Premier CS Rating

  • 480 below peak (12,604)
  • +359 over 30 days · steady
  • Next: Purple band at 15,000 — 2,876 to go
  • Reached: 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate33.4%42.0%44.4%10.9% short
Shot accuracy12.5%9.6%11.9%above
Kill/death ratio1.130.981.03above
Match win rate41.9%43.8%45.2%3.3% short

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

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

Share this profile

CSDB.GGPreXxPREMIER12,124 · Blue bandPEAK ELO683csdb.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

Aim50
Positioning64
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateLLLWWWWLLW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −2.7pp headshot accuracy · +31ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 536ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 573ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 557ms

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 (+2.2 against its own average).

Aim5.0
Utility5.8
Positioning6.4
Opening Duels2.5
Clutch2.0

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 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

Areas to improve

Reaction time. 568ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim5.0
Positioning6.4
Utility5.8
Mechanics4.3
Opening Duels4.5
Win Impact6.1

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time571ms−50ms
first ⅓ avg 620ms → last ⅓ avg 571ms
Headshot accuracy21.0%+5.2%
first ⅓ avg 15.7% → last ⅓ avg 21.0%

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

0.14Best match rating · 8–8 · vertigo, 27 May →
58%Best headshot accuracy · 13–4 · nuke, 28 Sept →
422msFastest reaction time · 13–5 · dust2, 28 Aug →
13–1Biggest win · dust2, 8 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
3–15In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 64% over 14mirageWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C2812–1643%-0.01
infernoB2413–1154%-0.01
nukeA149–564%-0.00
mirageD113–827%0.00
ancientC104–640%-0.02
cacheD62–433%-0.03
anubis—32–167%0.01
overpass—22–0100%0.03
stronghold—11–0100%0.08
vertigo—10–10%0.14

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,172Lifetime kills
1.13K/D · Top 25% of Blue band
2,058Matches
41.9%Match win rate
33.4%Headshot %
12.5%Shot accuracy · Top 50% of Blue band
5,400MVPs
665Hours (in match)
1,859Bombs planted
366Bombs defused

Most-used weapons

AK-477,092
AWP4,450
MP91,371
MP71,304
P901,299
MAC-101,220

Lifetime map wins

3,571dust2
1,613inferno
1,162nuke
746office
506cbble
420lake
307vertigo
242train

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

Faceit stats

Combat

64Matches
42%Win rate
1.05Avg K/D
78.4ADR
41%Headshot %

Clutches & streaks

30%1v1 clutch win
28%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1625%0.9213.0
Dust21250%0.9813.5
Inferno933%0.809.6
Ancient838%1.3817.0
Vertigo667%1.7610.7
Anubis4100%0.9514.3
Nuke367%1.6122.0
Train10%0.508.0

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.

21.2%Headshot accuracy
30.4%Accuracy (enemy spotted)
29.7%Spray accuracy
69.5%Counter-strafing
11.6°Preaim
568msReaction time
53.1%T opening success
42.7%CT opening success
0.51Enemies flashed / flash
4.4%Flash assists
9.06HE damage / grenade
9.51Flashes / match

Recommended for you

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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke7–13-0.006%29 Oct →
inferno11–130.0415%29 Oct →
inferno11–13-0.0525%29 Oct →
dust213–30.013%29 Oct →
cache16–13-0.0323%28 Oct →
dust213–7-0.0516%28 Oct →
anubis13–6-0.0116%28 Oct →
inferno7–13-0.0232%28 Oct →
inferno10–130.0522%16 Oct →
dust213–2-0.0325%16 Oct →
inferno9–13-0.0820%14 Oct →
ancient16–12-0.0714%14 Oct →
inferno13–30.0423%14 Oct →
dust211–130.0317%13 Oct →
mirage13–160.0123%10 Oct →
inferno13–2-0.0229%8 Oct →
dust213–10.0615%8 Oct →
dust211–13-0.0121%6 Oct →
inferno13–2-0.0329%6 Oct →
inferno14–16-0.0119%6 Oct →
nuke13–50.0531%28 Sept →
inferno13–50.0026%28 Sept →
nuke13–40.0158%28 Sept →
ancient11–130.0025%24 Sept →
ancient13–70.0016%21 Sept →
nuke8–13-0.0121%21 Sept →
dust213–6-0.0230%21 Sept →
cache16–140.0212%19 Sept →
ancient6–13-0.0912%18 Sept →
mirage5–13-0.0524%12 Sept →
inferno13–7-0.0114%12 Sept →
dust21–13-0.0820%2 Sept →
mirage15–15-0.049%28 Aug →
dust213–5-0.0016%28 Aug →
nuke13–6-0.038%28 Aug →
inferno10–13-0.027%20 Aug →
nuke13–20.0010%20 Aug →
cache11–13-0.0310%3 Aug →
inferno13–40.0117%3 Aug →
dust215–15-0.0418%26 Jul →
dust213–80.0316%25 Jul →
mirage8–130.0114%13 Jul →
ancient10–130.0318%13 Jul →
inferno13–100.0715%13 Jul →
stronghold13–90.0812%8 Jul →
cache3–13-0.0713%8 Jul →
inferno13–90.0216%30 Jun →
dust211–13-0.0122%30 Jun →
mirage14–16-0.019%30 Jun →
ancient11–13-0.0514%28 May →
nuke13–6-0.0310%28 May →
dust25–13-0.0412%28 May →
vertigo8–80.1414%27 May →
overpass9–50.0722%27 May →
inferno2–9-0.1610%27 May →
dust213–80.0819%21 May →
anubis13–60.049%21 May →
dust24–13-0.0614%21 May →
dust213–110.0113%19 May →
inferno10–13-0.0320%19 May →
nuke13–6-0.018%19 May →
mirage13–80.0321%17 May →
ancient9–13-0.0213%17 May →
dust211–13-0.0014%9 May →
ancient13–9-0.0213%9 May →
nuke13–100.0420%9 May →
mirage14–160.0322%7 May →
ancient7–13-0.0316%7 May →
inferno13–90.0314%6 May →
dust213–9-0.0914%6 May →
overpass13–6-0.0011%5 May →
inferno13–16-0.0514%5 May →
inferno13–10-0.0119%5 May →
dust23–13-0.0614%5 May →
dust211–13-0.0012%29 Apr →
cache4–13-0.0324%29 Apr →
cache3–13-0.0116%29 Apr →
nuke16–13-0.0122%28 Apr →
dust213–60.0328%28 Apr →
inferno13–9-0.034%28 Apr →
dust213–16-0.0116%28 Apr →
dust27–130.0014%27 Apr →
dust210–130.0223%27 Apr →
mirage6–13-0.0614%27 Apr →
mirage10–130.0110%27 Apr →
ancient13–100.0115%27 Apr →
nuke11–13-0.0219%25 Apr →
nuke11–13-0.0117%25 Apr →
inferno7–13-0.0320%22 Apr →
mirage13–9-0.007%19 Apr →
mirage13–100.0813%15 Apr →
nuke5–130.0316%14 Apr →
inferno13–90.0513%14 Apr →
anubis7–13-0.0110%14 Apr →
dust213–70.0215%14 Apr →
dust210–130.0215%13 Apr →
dust27–13-0.0619%11 Apr →
inferno13–11-0.0420%11 Apr →
dust28–13-0.0618%11 Apr →
nuke13–5-0.0717%11 Apr →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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