Gpres

Gpres — CS2 Stats

US76561198277411653[U:1:317145925]Steam profile ↗

127Tracked matches41%Win rate2023Tracked since
714Hours in CS3Hrs last 2 wks
CSDB Rating3.3 Learning
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), 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 2 medianLevel 3 medianvs Level 3
Headshot rate37.3%42.1%42.1%4.7% short
Shot accuracy19.3%12.9%12.1%above
Kill/death ratio0.831.000.990.16 short
Match win rate35.2%42.9%43.9%8.6% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGGpresFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim25
Positioning60
Utility21

0–100 skill scores via Leetify.

Recent form

COLD41536Last 10041%Win rateLWLWLLWLLL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Aim2.5
Aggression8.8
Utility2.1
Positioning6.0
Opening Duels3.3

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

jL

Plays most like jL 75% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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. 717ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim2.5
Positioning6.0
Utility2.1
Mechanics3.5
Opening Duels3.3
Win Impact2.1

Composite 3.3/10 (Learning), 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-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time711ms−51ms
first ⅓ avg 762ms → last ⅓ avg 711ms
Headshot accuracy19.2%+5.6%
first ⅓ avg 13.7% → last ⅓ avg 19.2%

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.

Highlights

0.14Best rating — dust2 13–7
131Biggest win — train
4Longest win streak
54In matches decided by ≤2 rounds
3Overtime games

Map breakdown

dust2Best map · 54% over 41trainWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B41221954%-0.02
infernoC135838%-0.04
mirageD113827%-0.00
trainD92722%-0.01
nukeC83538%-0.02
vertigoD62433%-0.02
ancient4040%-0.04
cache31233%0.02
overpass32167%-0.03
italy110100%0.04
agency1010%-0.12

Across the last 100 tracked matches.

Lifetime stats

18,081Lifetime kills
0.83K/D
1,172Matches
35.2%Match win rate
37.3%Headshot %
19.3%Shot accuracy · Top 10% of Level 2 players
1,356MVPs
321Hours (in match)
824Bombs planted
140Bombs defused

Most-used weapons

Lifetime map wins

2,296dust2
526inferno
290train
158cbble
156nuke
85vertigo
60lake
31safehouse

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.7%Headshot accuracy
27.2%Accuracy (enemy spotted)
25.3%Spray accuracy
65.6%Counter-strafing
11.1°Preaim
717msReaction time
41.9%T opening success
44.5%CT opening success
0.39Enemies flashed / flash
1.0%Flash assists
10.77HE damage / grenade
2.14Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 716.7349ms — above the 700ms mark we flag

    Aim Training
  2. 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 0.3932 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Train

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
cache10–130.0820%29 Aug
inferno8–00.1119%29 Aug
inferno3–130.0333%29 Aug
nuke13–7-0.0113%28 Aug
mirage3–13-0.0510%26 Jun
nuke7–13-0.079%26 Jun
cache13–60.008%26 Jun
cache3–13-0.0222%25 Jun
nuke3–13-0.0412%19 Jun
inferno0–9-0.230%19 Jun
ancient7–13-0.0430%1 Mar
dust25–13-0.1336%5 Feb
dust212–12-0.0240%5 Feb
dust210–13-0.0916%5 Feb
dust29–13-0.0221%20 Nov
italy13–70.0418%20 Nov
nuke2–13-0.089%16 Nov
inferno13–3-0.0235%16 Nov
train4–13-0.0514%31 Oct
nuke13–20.0612%31 Oct
overpass9–13-0.0233%30 Oct
dust213–110.0323%30 Oct
dust213–30.0019%29 Oct
dust213–7-0.0729%29 Oct
inferno14–16-0.0620%28 Oct
train10–130.0122%28 Oct
inferno10–13-0.069%27 Oct
dust213–9-0.0217%27 Oct
dust213–100.0010%27 Oct
mirage5–13-0.0314%27 Oct
overpass13–60.0017%27 Oct
dust213–20.1230%26 Oct
inferno9–13-0.0615%26 Oct
inferno13–7-0.0413%26 Oct
nuke6–13-0.0320%26 Oct
dust213–70.0410%25 Oct
mirage2–00.0917%25 Oct
dust213–40.018%25 Oct
train13–50.069%25 Oct
vertigo10–130.0222%25 Oct
dust213–6-0.0816%25 Oct
dust28–13-0.0717%25 Oct
dust213–6-0.0329%25 Oct
vertigo6–13-0.0314%25 Oct
dust23–13-0.0517%24 Oct
vertigo9–13-0.0613%24 Oct
vertigo13–11-0.0226%23 Oct
train3–13-0.079%23 Oct
dust213–70.0424%23 Oct
vertigo5–13-0.0621%23 Oct
dust213–70.0623%22 Oct
dust213–70.1415%22 Oct
inferno7–13-0.0219%22 Oct
train11–13-0.0615%20 Oct
train13–10.0729%20 Oct
overpass13–11-0.0620%20 Oct
dust213–10-0.0119%19 Oct
dust28–13-0.0419%19 Oct
mirage9–130.0022%14 Oct
dust215–15-0.0018%13 Oct
mirage13–110.0012%12 Oct
inferno13–70.017%12 Oct
inferno8–13-0.085%12 Oct
dust20–13-0.0913%12 Oct
dust25–13-0.0228%12 Oct
dust213–9-0.0219%12 Oct
train1–13-0.0528%12 Oct
dust213–8-0.0017%12 Oct
mirage13–50.0215%11 Oct
dust213–20.0422%11 Oct
dust211–13-0.018%11 Oct
dust24–13-0.093%11 Oct
nuke9–13-0.0314%11 Oct
mirage10–130.0020%11 Oct
mirage15–15-0.049%11 Oct
nuke13–70.0516%11 Oct
vertigo13–20.0310%11 Oct
dust213–8-0.0610%11 Oct
dust28–130.035%11 Oct
dust213–10.0226%10 Oct
dust212–12-0.0119%10 Oct
dust211–13-0.0411%10 Oct
agency2–6-0.1210%10 Oct
dust26–13-0.042%10 Oct
train12–12-0.0016%10 Oct
dust20–13-0.0913%10 Oct
dust213–6-0.0610%9 Oct
dust29–2-0.0317%9 Oct
ancient5–13-0.0510%9 Oct
ancient3–13-0.039%6 Oct
train12–120.0510%5 Oct
mirage5–130.0119%5 Oct
ancient0–13-0.057%5 Oct
inferno3–13-0.0319%5 Oct
inferno13–9-0.0413%5 Oct
dust22–13-0.0619%4 Oct
dust213–50.0129%4 Oct
mirage10–130.0313%4 Oct
dust22–10-0.0615%3 Oct
mirage9–13-0.0715%2 Oct

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 →