rev1se

rev1se — CS2 Stats

GD76561198992048883[U:1:1031783155]Steam profile ↗✓ No bans

712Tracked matches48%Win rate2020Tracked since
1,516Hours in CS
CSDB Rating3.7 LearningAll-Rounder
Premier CS Rating10,000Blue band · top ~54.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 712 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 10,000 +5,491 22 Jun – 1 Nov · 15 days played
4,50910,692peak 10,69222 Jun1 Nov
11,074Peak Premier in tracked matches
19Days played since 2026-06-12

Premier CS Rating

  • 692 below peak (10,692)
  • 0 over 90 days
  • Next: Purple band at 15,000 — 5,000 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-30
  • Light Blue band first seen 2026-08-30

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
Matches1——
Win rate0%——
K/D0.52——
Headshot %55%——

Measured 15 Oct 2026 → 14 Nov 2026; no observation near 60 days ago, so there is no previous window yet.

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 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 rate31.4%42.0%44.4%13.0% short
Shot accuracy19.5%9.6%11.9%above
Kill/death ratio1.110.981.03above
Match win rate33.5%43.8%45.2%11.7% 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.GGrev1sePREMIER10,000 · Blue bandcsdb.gg/stats

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Performance scores

Aim42
Positioning37
Utility36

0–100 skill scores via Leetify.

Recent form

COLD49–48–3Last 10049%Win rateLWLLTLLWWL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · −2.7pp headshot accuracy · −22ms reaction

Win rate down 30pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 7%
  • Avg reaction 716ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 665ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 10%
  • Avg reaction 676ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim4.2
Utility3.6
Positioning3.7
Opening Duels1.7

Effective flashes

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

ZywOo

Plays most like ZywOo 83% 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

Strengths

Flashes. 0.79 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 668ms 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

Aim4.2
Positioning3.7
Utility3.6
Mechanics5.8
Opening Duels0.8
Win Impact4.4

Composite 3.7/10 (Learning), 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 time670ms+10ms
first ⅓ avg 661ms → last ⅓ avg 670ms
Headshot accuracy9.1%−2.2%
first ⅓ avg 11.3% → last ⅓ avg 9.1%

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

0.12Best match rating · 13–7 · ancient, 22 Jun →
24%Best headshot accuracy · 9–13 · dust2, 12 Jun →
375msFastest reaction time · 3–0 · dust2, 22 Jun →
13–0Biggest win · inferno, 19 Jul →

Across the last 100 tracked matches.

Highlights

10Longest win streak
6–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 67% over 12infernoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2A3319–1458%0.01
mirageC238–1535%-0.02
ancientS128–467%0.00
nukeA127–558%-0.02
infernoD113–827%-0.02
anubisA53–260%-0.02
overpass—21–150%0.00
cache—10–10%-0.02
train—10–10%-0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

90,015Lifetime kills
1.11K/D · Top 25% of Blue band
4,689Matches
33.5%Match win rate
31.4%Headshot %
19.5%Shot accuracy · Top 5% of Blue band
4,897MVPs
1,516Hours (in match)
1,010Bombs planted
401Bombs defused

Most-used weapons

AWP21,659
AK-4720,376
AUG2,138
SG 5531,497
SCAR-201,332

Lifetime map wins

17,261dust2
2,603inferno
353vertigo
310nuke
25cbble
13train
9italy
4stmarc

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.

9.1%Headshot accuracy
35.3%Accuracy (enemy spotted)
31.3%Spray accuracy
76.0%Counter-strafing
10.3°Preaim
668msReaction time
33.7%T opening success
32.9%CT opening success
0.79Enemies flashed / flash
3.6%Flash assists
3.85HE damage / grenade
7.35Flashes / 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 9.0925% — 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 33.7494% — below the 40% mark we flag

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.

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient7–13-0.045%25 Jul →
dust28–3-0.008%25 Jul →
cache5–13-0.020%25 Jul →
inferno8–13-0.048%25 Jul →
dust215–150.0516%25 Jul →
mirage9–13-0.038%25 Jul →
dust23–80.0110%25 Jul →
ancient12–10.0010%25 Jul →
ancient13–90.027%22 Jul →
anubis0–13-0.0413%22 Jul →
nuke13–11-0.0110%22 Jul →
dust211–13-0.0214%22 Jul →
dust213–110.0316%19 Jul →
mirage13–8-0.027%19 Jul →
dust28–130.0110%19 Jul →
inferno13–00.0915%19 Jul →
mirage10–130.0112%19 Jul →
mirage13–110.025%18 Jul →
dust27–13-0.0215%18 Jul →
mirage13–9-0.007%18 Jul →
dust213–90.028%18 Jul →
mirage15–15-0.049%17 Jul →
mirage13–10-0.0113%17 Jul →
mirage15–15-0.056%17 Jul →
nuke5–13-0.078%17 Jul →
ancient8–130.035%15 Jul →
dust27–13-0.0311%15 Jul →
anubis13–6-0.079%15 Jul →
inferno13–8-0.083%15 Jul →
ancient7–13-0.032%13 Jul →
dust213–8-0.007%12 Jul →
dust213–9-0.015%12 Jul →
ancient4–13-0.0217%12 Jul →
dust213–6-0.035%12 Jul →
mirage3–13-0.0810%12 Jul →
dust213–70.006%12 Jul →
nuke13–2-0.028%27 Jun →
dust213–50.068%27 Jun →
mirage13–11-0.018%27 Jun →
dust213–90.0510%27 Jun →
mirage11–130.026%27 Jun →
inferno2–13-0.104%27 Jun →
anubis13–7-0.033%27 Jun →
nuke13–8-0.023%27 Jun →
overpass13–80.048%27 Jun →
nuke11–130.004%27 Jun →
mirage6–13-0.047%27 Jun →
nuke2–13-0.0811%27 Jun →
inferno7–13-0.0310%27 Jun →
nuke1–13-0.0714%27 Jun →
ancient13–90.036%27 Jun →
anubis13–20.0811%26 Jun →
dust213–30.0216%26 Jun →
dust213–40.0717%26 Jun →
ancient13–6-0.0710%25 Jun →
nuke13–00.0410%25 Jun →
nuke13–11-0.0115%25 Jun →
mirage13–20.0711%22 Jun →
ancient13–70.125%22 Jun →
dust213–10.0714%22 Jun →
inferno3–13-0.024%22 Jun →
dust213–90.0021%22 Jun →
dust23–00.000%22 Jun →
dust213–70.0415%22 Jun →
overpass3–13-0.0417%21 Jun →
anubis9–13-0.033%21 Jun →
mirage3–13-0.0519%21 Jun →
ancient13–70.0314%21 Jun →
nuke16–140.0510%21 Jun →
ancient13–6-0.057%21 Jun →
nuke13–100.049%21 Jun →
train9–13-0.1010%19 Jun →
ancient13–9-0.0210%19 Jun →
dust210–10.0614%19 Jun →
mirage4–13-0.0511%19 Jun →
mirage9–130.0311%19 Jun →
dust213–20.0313%18 Jun →
inferno11–13-0.0311%17 Jun →
dust28–13-0.0212%17 Jun →
inferno11–13-0.0314%17 Jun →
inferno13–50.039%17 Jun →
inferno5–13-0.0112%16 Jun →
dust25–13-0.035%16 Jun →
mirage8–13-0.0413%16 Jun →
mirage13–6-0.096%16 Jun →
dust29–13-0.0611%13 Jun →
dust213–100.0511%13 Jun →
mirage4–11-0.0120%13 Jun →
dust28–13-0.0218%13 Jun →
dust26–130.0317%13 Jun →
mirage13–100.017%13 Jun →
mirage9–130.0413%13 Jun →
dust213–8-0.018%13 Jun →
inferno3–13-0.0214%12 Jun →
dust24–13-0.027%12 Jun →
dust25–13-0.0214%12 Jun →
nuke8–13-0.055%12 Jun →
mirage8–13-0.027%12 Jun →
mirage13–16-0.056%12 Jun →
dust29–13-0.0324%12 Jun →

Match data via Leetify.

Recent teammates

Milestones

500 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.