XP37

XP37 — CS2 Stats

NO76561198310566914[U:1:350301186]Steam profile ↗✓ No bans

278Tracked matches53%Win rate2022Tracked since
1,544Hours in CS47Hrs last 2 wks
CSDB Rating4.3 DevelopingSupport
Premier CS Rating12,424Blue band · top ~42.1% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (3 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: 12,424 +1,683 16 May – 8 Oct · 24 days played
9,49112,424peak 12,42416 May8 Oct
12,424Peak Premier in tracked matches
51Days played since 2026-05-01

Premier CS Rating

  • At peak — 12,424
  • +1,532 over 30 days · improving
  • Next: Purple band at 15,000 — 2,576 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 Level 5 among CSDB-tracked players (n=13,649), 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 5 medianLevel 6 medianvs Level 6
Headshot rate33.8%43.7%44.8%11.0% short
Shot accuracy16.2%12.0%12.4%above
Kill/death ratio1.051.021.03meets
Match win rate41.6%44.7%45.2%3.6% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGXP37FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER12,424 · 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

Aim56
Positioning34
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY44–50–6Last 10044%Win rateLWWLWWWWLL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −1.7pp headshot accuracy · −0ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 564ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 588ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 588ms

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 (+2.7 against its own average).

Aim5.6
Utility6.0
Positioning3.4
Opening Duels0.0
Clutch3.8

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

Twistzz

Plays most like Twistzz 80% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 585ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim5.6
Positioning3.4
Utility6.0
Mechanics4.2
Opening Duels0.0
Win Impact6.1

Composite 4.3/10 (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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time586ms−91ms
first ⅓ avg 676ms → last ⅓ avg 586ms
Headshot accuracy12.7%−6.0%
first ⅓ avg 18.7% → last ⅓ avg 12.7%

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 · 13–6 · cache, 30 Sept →
32%Best headshot accuracy · 13–6 · anubis, 16 May →
406msFastest reaction time · 5–13 · mirage, 21 Aug →
13–1Biggest win · vertigo, 29 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
10–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 56% over 18cacheWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
infernoC187–1139%-0.01
mirageA1810–856%-0.01
cacheD144–1029%-0.02
dust2B147–750%0.00
ancientB115–645%-0.00
anubisB84–450%-0.00
nukeB84–450%0.02
overpassD72–529%0.02
vertigo—21–150%-0.02

Across the last 100 tracked matches.

Lifetime stats

36,516Lifetime kills
1.05K/D · Top 50% of Level 5 players
2,265Matches
41.6%Match win rate
33.8%Headshot %
16.2%Shot accuracy · Top 25% of Level 5 players
3,668MVPs
755Hours (in match)
2,073Bombs planted
441Bombs defused

Most-used weapons

Lifetime map wins

3,191dust2
1,937inferno
596nuke
306train
270safehouse
254cbble
242office
201vertigo

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

Faceit stats

Combat

72Matches
43%Win rate
1.10Avg K/D
79.9ADR
36%Headshot %

Clutches & streaks

39%1v1 clutch win
27%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno1553%1.1915.3
Mirage1020%0.8314.3
Ancient1050%0.9713.2
Nuke933%1.5914.2
Anubis838%1.1915.5
Dust2667%1.2014.2
Cache1100%2.4024.0

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.

12.5%Headshot accuracy
35.5%Accuracy (enemy spotted)
40.4%Spray accuracy
68.7%Counter-strafing
10.4°Preaim
585msReaction time
16.7%T opening success
30.4%CT opening success
0.55Enemies flashed / flash
2.7%Flash assists
8.10HE damage / grenade
14.05Flashes / 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 12.5197% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 16.6939% — below the 40% mark we flag

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno11–13-0.0112%9 Oct →
mirage13–3-0.0218%8 Oct →
mirage13–60.0217%8 Oct →
mirage3–13-0.0512%8 Oct →
cache13–9-0.039%7 Oct →
inferno13–9-0.015%7 Oct →
cache13–60.1311%30 Sept →
ancient13–110.0510%30 Sept →
cache10–13-0.029%30 Sept →
ancient7–13-0.058%30 Sept →
mirage8–13-0.0413%29 Sept →
vertigo13–1-0.0111%29 Sept →
ancient4–130.0424%25 Sept →
mirage6–13-0.027%25 Sept →
dust29–8-0.036%25 Sept →
inferno13–50.0013%25 Sept →
mirage8–13-0.0313%25 Sept →
anubis13–7-0.0318%24 Sept →
mirage13–70.007%24 Sept →
cache13–80.0515%23 Sept →
anubis13–40.0819%23 Sept →
inferno6–13-0.0113%23 Sept →
dust23–13-0.0615%23 Sept →
inferno7–130.036%20 Sept →
ancient8–130.0010%20 Sept →
dust216–130.0713%20 Sept →
overpass13–100.029%19 Sept →
dust216–140.0015%18 Sept →
overpass11–13-0.0316%18 Sept →
anubis7–13-0.0323%18 Sept →
cache6–13-0.0112%18 Sept →
mirage6–13-0.0313%17 Sept →
mirage13–9-0.0917%15 Sept →
vertigo6–13-0.0410%15 Sept →
anubis13–100.0423%15 Sept →
ancient2–13-0.0519%15 Sept →
ancient8–13-0.087%14 Sept →
dust213–4-0.0222%9 Sept →
dust25–130.0518%4 Sept →
anubis9–13-0.0113%3 Sept →
anubis8–130.027%2 Sept →
dust213–10.0927%30 Aug →
ancient7–13-0.0219%29 Aug →
nuke13–110.0318%25 Aug →
mirage13–10-0.0115%23 Aug →
inferno13–3-0.0114%23 Aug →
cache13–6-0.0426%23 Aug →
ancient13–20.0315%22 Aug →
inferno13–7-0.026%21 Aug →
ancient13–60.0112%21 Aug →
mirage5–130.0313%21 Aug →
nuke13–90.0815%20 Aug →
ancient13–5-0.0113%17 Aug →
dust213–8-0.0515%16 Aug →
mirage3–13-0.0516%16 Aug →
inferno16–120.0214%15 Aug →
mirage7–13-0.0410%15 Aug →
anubis8–13-0.0410%16 Jun →
dust213–20.038%10 Jun →
ancient13–110.0515%9 Jun →
nuke10–130.0816%6 Jun →
dust27–130.0414%6 Jun →
overpass13–110.0611%5 Jun →
inferno9–13-0.0214%4 Jun →
inferno7–13-0.0317%4 Jun →
dust215–15-0.0516%25 May →
overpass9–13-0.0317%22 May →
mirage13–30.0628%18 May →
inferno14–16-0.0121%18 May →
inferno15–150.0016%18 May →
cache11–13-0.089%17 May →
inferno13–7-0.0017%16 May →
mirage13–110.0326%16 May →
overpass12–120.0014%16 May →
anubis13–6-0.0432%16 May →
inferno13–11-0.0227%16 May →
inferno12–16-0.0319%14 May →
nuke13–90.0218%13 May →
cache12–12-0.0517%13 May →
nuke11–130.0227%13 May →
mirage13–30.1224%13 May →
inferno6–130.0219%12 May →
overpass12–120.0025%11 May →
cache4–13-0.0115%11 May →
nuke8–13-0.0227%10 May →
nuke6–13-0.0811%9 May →
mirage13–100.0012%9 May →
dust210–130.0629%9 May →
dust22–13-0.0711%9 May →
inferno6–13-0.059%8 May →
nuke13–110.0324%7 May →
dust24–13-0.0517%7 May →
overpass9–130.0815%7 May →
mirage13–11-0.0314%6 May →
cache2–13-0.083%3 May →
cache11–13-0.0124%2 May →
cache5–13-0.0824%2 May →
inferno9–13-0.0715%1 May →
cache12–12-0.0122%1 May →
cache1–13-0.006%1 May →

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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