wren

wren — CS2 Stats

BG76561199213637722[U:1:1253371994]Steam profile ↗✓ No bans

1,651Tracked matches50%Win rate2025Tracked since
CSDB Rating2.0 LearningPositional Player
Ladder ranks via Leetify

Performance scores

Aim8
Positioning41
Utility1

0–100 skill scores via Leetify.

Recent form

STEADY35–56–9Last 10035%Win rateWLLWWLWTWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −0.5pp headshot accuracy · +30ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 8%
  • Avg reaction 656ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 683ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 668ms

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 (+2.4 against its own average).

Aim0.8
Utility0.1
Positioning4.1
Opening Duels0.8

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

s1mple

Plays most like s1mple 64% 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

CT openings. Opening success drops from 57% on T to 35% on CT — first contacts on the defending side are being lost.

Reaction time. 672ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 0% 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

Aim0.8
Positioning4.1
Utility0.1
Mechanics0.0
Opening Duels4.1
Win Impact5.0

Composite 2.0/10 (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-0.04+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time676ms−16ms
first ⅓ avg 692ms → last ⅓ avg 676ms
Headshot accuracy11.0%−0.9%
first ⅓ avg 11.9% → last ⅓ avg 11.0%

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

0.08Best match rating · 13–10 · dust2, 3 Sept →
22%Best headshot accuracy · 9–13 · nuke, 3 Sept →
500msFastest reaction time · 6–3 · inferno, 31 Aug →
13–0Biggest win · inferno, 12 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–5In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 49% over 37mirageWeakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
infernoB3718–1949%-0.02
dust2D216–1529%-0.04
mirageD132–1115%-0.02
cacheD113–827%-0.07
nukeD51–420%-0.02
vertigoC52–340%-0.04
anubis—42–250%-0.04
ancient—21–150%-0.08
overpass—10–10%-0.04
train—10–10%-0.11

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (15% over 13). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

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

11.6%Headshot accuracy
28.6%Accuracy (enemy spotted)
0.0%Spray accuracy
0.0%Counter-strafing
15.7°Preaim
672msReaction time
57.3%T opening success
35.4%CT opening success
0.00Enemies flashed / flash
0.0%Flash assists
0.00HE damage / grenade
0.00Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 15.6511° — above the 12° mark we flag

    Aim Training →
  2. Movement Guide

    Under half your shots are taken fully stopped, so the bullets are going where the spread sends them rather than where you aim.

    Counter-strafing 0% — below the 45% mark we flag

    Practice Config →
  3. 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 11.6025% — below the 15% mark we flag

    Aim Training →
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.

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–6-0.1013%17 Oct →
dust24–13-0.045%17 Oct →
nuke5–130.016%16 Oct →
vertigo13–8-0.014%16 Oct →
cache13–10-0.0312%16 Oct →
mirage6–130.0012%16 Oct →
dust213–3-0.0719%16 Oct →
inferno12–12-0.0222%16 Oct →
inferno13–20.0516%16 Oct →
dust213–4-0.086%16 Oct →
inferno13–50.0211%15 Oct →
inferno13–0-0.038%12 Oct →
inferno4–13-0.0713%11 Oct →
inferno5–130.0317%11 Oct →
mirage12–12-0.0510%10 Oct →
cache2–13-0.1012%10 Oct →
inferno13–11-0.0416%10 Oct →
anubis4–13-0.077%10 Oct →
dust29–13-0.0015%10 Oct →
vertigo13–5-0.068%10 Oct →
ancient6–13-0.0819%9 Oct →
dust22–13-0.1017%9 Oct →
inferno13–10-0.0311%9 Oct →
vertigo9–13-0.0010%9 Oct →
nuke5–13-0.035%8 Oct →
anubis13–8-0.0317%8 Oct →
inferno13–20.027%8 Oct →
mirage7–13-0.0110%8 Oct →
cache13–11-0.046%8 Oct →
dust27–130.0311%8 Oct →
inferno2–13-0.1012%25 Sept →
mirage7–13-0.048%25 Sept →
cache1–13-0.110%25 Sept →
inferno10–13-0.067%25 Sept →
inferno4–13-0.0611%24 Sept →
inferno7–130.019%24 Sept →
dust212–12-0.0610%24 Sept →
inferno11–13-0.0717%24 Sept →
inferno3–13-0.1017%14 Sept →
mirage5–130.0414%13 Sept →
dust27–13-0.047%13 Sept →
cache5–13-0.055%13 Sept →
inferno13–7-0.0212%12 Sept →
mirage13–10-0.049%12 Sept →
dust213–40.0219%12 Sept →
mirage12–12-0.0312%12 Sept →
dust211–13-0.0919%12 Sept →
inferno13–110.0714%12 Sept →
dust29–13-0.0113%11 Sept →
dust22–13-0.0216%11 Sept →
mirage5–130.018%11 Sept →
inferno13–60.059%11 Sept →
dust211–13-0.0517%11 Sept →
inferno6–130.037%11 Sept →
inferno13–6-0.029%11 Sept →
inferno12–12-0.0214%7 Sept →
inferno8–130.018%6 Sept →
inferno13–80.0818%6 Sept →
inferno8–13-0.0118%6 Sept →
inferno5–130.0216%6 Sept →
cache9–13-0.105%4 Sept →
ancient13–11-0.086%4 Sept →
anubis13–10-0.0411%4 Sept →
mirage13–10-0.0612%3 Sept →
dust27–13-0.0514%3 Sept →
nuke13–9-0.0610%3 Sept →
dust213–100.0813%3 Sept →
nuke9–13-0.0322%3 Sept →
cache13–4-0.038%2 Sept →
inferno13–3-0.0713%2 Sept →
mirage9–13-0.0611%2 Sept →
overpass12–12-0.0418%1 Sept →
train1–13-0.1118%1 Sept →
cache10–13-0.0312%1 Sept →
dust25–13-0.0411%1 Sept →
inferno8–13-0.0317%1 Sept →
inferno13–4-0.069%31 Aug →
dust29–13-0.078%31 Aug →
inferno6–3-0.0215%31 Aug →
inferno9–13-0.0920%30 Aug →
inferno13–8-0.0015%29 Aug →
anubis10–13-0.027%29 Aug →
vertigo6–13-0.0810%28 Aug →
cache6–13-0.052%28 Aug →
mirage5–130.0011%28 Aug →
dust212–12-0.0816%28 Aug →
inferno11–130.0710%28 Aug →
mirage7–13-0.0414%28 Aug →
dust213–6-0.0610%27 Aug →
nuke5–13-0.002%27 Aug →
inferno10–13-0.0414%26 Aug →
dust213–9-0.0611%26 Aug →
inferno13–110.0211%26 Aug →
vertigo10–13-0.0710%25 Aug →
inferno13–90.0110%25 Aug →
cache12–12-0.108%25 Aug →
mirage8–13-0.0214%25 Aug →
dust210–13-0.039%25 Aug →
inferno12–12-0.0716%24 Aug →
cache11–13-0.097%24 Aug →

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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