reze

reze — CS2 Stats

JP76561199094233878[U:1:1133968150]Steam profile ↗✓ No bans

1,198Tracked matches63%Win rate2021Tracked since
CSDB Rating6.2 SolidPositional Player
FaceitLevel 8 · 1,509 ELOTop 31.2% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (55 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,509 → 1,509
+45Tracked matches · now 1,198
−3.3ppWin rate · 66.7% → 63.3%

Rating over time

Premier CS Rating: 24,506 -114 19 May – 25 May · 2 days played
24,50624,620peak 24,62019 May25 May
24,739Peak Premier in tracked matches
1,509Highest Faceit ELO seen on CSDB
41Days played since 2026-05-18

Faceit ELO

  • At peak — 1,509
  • Next: Level 8 at 1,531 — 22 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-13
  • Level 6 first seen 2026-09-13

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGrezeFACEITLevel 8 · 1,509 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,509csdb.gg/stats

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Performance scores

Aim72
Positioning66
Utility39

0–100 skill scores via Leetify.

Recent form

HOT55–42–3Last 10055%Win rateWLWLLWWWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +0.2pp headshot accuracy · −18ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 639ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 571ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 580ms

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 (+1.8 against its own average).

Aim7.2
Utility3.9
Positioning6.6
Opening Duels4.2
Clutch4.6

Limited utility dependence

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

donk

Plays most like donk 89% 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 553ms 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

Aim7.2
Positioning6.6
Utility3.9
Mechanics6.6
Opening Duels5.0
Win Impact9.4

Composite 6.2/10 (Solid), 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 rating0.01+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time558ms−70ms
first ⅓ avg 627ms → last ⅓ avg 558ms
Headshot accuracy14.1%−3.8%
first ⅓ avg 17.9% → last ⅓ avg 14.1%

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

0.14Best match rating · 13–7 · mirage, 11 Aug →
29%Best headshot accuracy · 11–13 · dust2, 11 Aug →
414msFastest reaction time · 13–11 · anubis, 3 Nov →
13–1Biggest win · mirage, 27 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–9In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 67% over 6dust2Weakest map · 45% over 22
MapGradePlayedRecordWin rateAvg rating
mirageA3017–1357%0.02
dust2B2210–1245%0.01
infernoA169–756%0.01
anubisA138–562%0.01
ancientS64–267%0.00
cacheA53–260%0.01
nukeA53–260%0.00
overpass—20–20%-0.04
vertigo—11–0100%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (45% over 22). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

350Matches
54%Win rate
1.09Avg K/D
80.7ADR
43%Headshot %

Clutches & streaks

43%1v1 clutch win
28%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage8062%1.1917.4
Dust25857%1.1116.9
Inferno3456%1.2316.6
Anubis2955%1.1518.3
Ancient1932%1.1014.3
Nuke1155%0.9913.2
Cache757%1.1314.4
Train250%1.5415.0

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.

14.2%Headshot accuracy
37.7%Accuracy (enemy spotted)
39.5%Spray accuracy
79.6%Counter-strafing
10.4°Preaim
553msReaction time
57.4%T opening success
42.4%CT opening success
0.37Enemies flashed / flash
7.8%Flash assists
8.18HE damage / grenade
4.66Flashes / 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 14.1885% — below the 15% 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 0.3726 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

45% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–10-0.0014%7 Nov →
mirage10–130.0216%7 Nov →
dust213–100.0611%6 Nov →
inferno10–13-0.0120%5 Nov →
inferno8–13-0.018%4 Nov →
anubis13–110.0017%3 Nov →
mirage13–40.0315%3 Nov →
mirage13–10-0.0210%29 Oct →
inferno13–7-0.0212%29 Oct →
ancient13–100.0320%29 Oct →
mirage13–70.0317%26 Oct →
nuke5–13-0.1110%25 Oct →
inferno13–100.0119%25 Oct →
mirage13–80.0217%22 Oct →
dust24–13-0.0414%17 Oct →
anubis6–13-0.0410%17 Oct →
mirage13–11-0.0212%17 Oct →
nuke8–80.0715%14 Oct →
anubis13–70.0318%3 Oct →
inferno11–13-0.0110%1 Oct →
inferno9–130.0212%29 Sept →
mirage7–13-0.0415%27 Sept →
cache10–13-0.0212%27 Sept →
anubis13–80.048%24 Sept →
anubis13–11-0.0213%24 Sept →
mirage9–13-0.058%24 Sept →
inferno13–50.0318%20 Sept →
cache13–20.0721%20 Sept →
inferno16–13-0.0018%19 Sept →
dust213–60.0716%19 Sept →
inferno13–110.0417%19 Sept →
mirage13–100.016%17 Sept →
mirage11–130.0917%17 Sept →
dust213–60.0518%15 Sept →
dust214–160.0722%14 Sept →
dust213–60.0119%14 Sept →
anubis10–130.0220%14 Sept →
inferno9–70.0714%13 Sept →
inferno5–9-0.0416%13 Sept →
dust213–9-0.0311%10 Sept →
mirage17–190.0315%10 Sept →
inferno13–50.0316%10 Sept →
anubis13–100.016%10 Sept →
anubis9–13-0.0016%10 Sept →
mirage3–8-0.069%10 Sept →
mirage13–50.0617%10 Sept →
mirage13–8-0.0015%7 Sept →
nuke13–60.0010%7 Sept →
mirage13–80.0217%7 Sept →
dust213–8-0.0011%29 Aug →
mirage10–130.0815%29 Aug →
dust213–7-0.0027%29 Aug →
ancient13–20.0321%28 Aug →
ancient13–7-0.0014%28 Aug →
mirage13–11-0.0117%28 Aug →
mirage13–110.0016%27 Aug →
dust217–19-0.0118%27 Aug →
inferno13–110.0018%27 Aug →
dust211–13-0.0013%27 Aug →
mirage9–130.0910%27 Aug →
dust213–80.0210%27 Aug →
dust28–13-0.0525%27 Aug →
mirage5–110.0326%27 Aug →
mirage13–10.0619%27 Aug →
mirage13–40.0015%20 Aug →
inferno13–10-0.0413%19 Aug →
mirage16–120.0111%14 Aug →
dust26–13-0.0018%14 Aug →
ancient13–110.0215%11 Aug →
mirage13–70.1423%11 Aug →
nuke13–80.0013%11 Aug →
dust211–13-0.0429%11 Aug →
dust26–13-0.0418%23 Jun →
anubis13–8-0.0416%23 Jun →
mirage10–13-0.0020%13 Jun →
anubis13–60.1218%13 Jun →
dust213–70.0220%10 Jun →
overpass9–13-0.029%10 Jun →
nuke13–90.0410%10 Jun →
anubis13–40.0523%31 May →
anubis11–130.0018%27 May →
anubis6–13-0.0321%27 May →
dust213–70.0212%27 May →
inferno6–13-0.0124%27 May →
dust210–13-0.0317%27 May →
ancient3–13-0.079%26 May →
overpass4–13-0.0715%26 May →
dust28–130.0415%26 May →
vertigo13–110.0213%26 May →
cache13–100.0422%26 May →
mirage10–130.0418%25 May →
inferno10–130.0325%21 May →
dust212–120.0319%21 May →
mirage12–120.0119%21 May →
mirage13–1-0.0220%21 May →
mirage8–13-0.0513%19 May →
mirage16–130.0223%19 May →
dust211–13-0.0225%19 May →
ancient9–130.0116%18 May →
cache5–13-0.0714%18 May →

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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