batemanESQ

batemanESQ — CS2 Stats

76561199825799486[U:1:1865533758]Steam profile ↗✓ No bans

1,372Tracked matches38%Win rate2025Tracked since
CSDB Rating4.2 DevelopingSupport
Premier CS Rating2,980Grey band · top ~87.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 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: 2,980 +478 15 Jul – 12 Nov · 28 days played
2,5023,497peak 3,49715 Jul12 Nov
3,636Peak Premier in tracked matches
35Days played since 2026-07-13

Premier CS Rating

  • 517 below peak (3,497)
  • +167 over 30 days · steady
  • -394 over 90 days
  • Next: Light Blue band at 5,000 — 2,020 to go

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGbatemanESQPREMIER2,980 · Grey bandcsdb.gg/stats

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Performance scores

Aim53
Positioning43
Utility52

0–100 skill scores via Leetify.

Recent form

HOT38–59–3Last 10038%Win rateWLWWWLWWWL

Last 10 vs previous 10: +50pp win rate · +0.02 avg rating · −1.7pp headshot accuracy · +17ms reaction

Win rate up 50pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 7%
  • Avg reaction 661ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 9%
  • Avg reaction 649ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 641ms

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 (+1.3 against its own average).

Aim5.3
Utility5.2
Positioning4.3
Opening Duels2.1

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 83% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 634ms 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

Aim5.3
Positioning4.3
Utility5.2
Mechanics6.9
Opening Duels2.6
Win Impact1.0

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time634ms−93ms
first ⅓ avg 727ms → last ⅓ avg 634ms
Headshot accuracy10.2%−0.3%
first ⅓ avg 10.5% → last ⅓ avg 10.2%

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.

Personal bests

0.08Best match rating · 13–2 · dust2, 25 Oct →
29%Best headshot accuracy · 13–11 · dust2, 6 Aug →
484msFastest reaction time · 11–13 · ancient, 24 Sept →
13–2Biggest win · dust2, 25 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
11–9In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 74% over 19cacheWeakest map · 6% over 16
MapGradePlayedRecordWin rateAvg rating
nukeD217–1433%-0.01
ancientS1914–574%0.00
cacheD161–156%-0.02
anubisB137–654%0.01
vertigoD102–820%-0.02
dust2C73–443%-0.02
infernoD72–529%-0.02
mirage—41–325%-0.04
train—31–233%-0.06

Across the last 100 tracked matches.

Skill profile

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

10.1%Headshot accuracy
35.9%Accuracy (enemy spotted)
34.1%Spray accuracy
81.2%Counter-strafing
10.7°Preaim
634msReaction time
35.0%T opening success
45.5%CT opening success
0.56Enemies flashed / flash
1.9%Flash assists
10.05HE damage / grenade
9.71Flashes / 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 10.091% — 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 35% — 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.

6% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis13–10-0.0010%12 Nov →
nuke11–130.0110%12 Nov →
anubis13–110.026%12 Nov →
vertigo13–110.024%6 Nov →
ancient13–50.026%5 Nov →
anubis8–130.0214%2 Nov →
ancient13–5-0.0013%2 Nov →
ancient13–60.037%29 Oct →
nuke13–5-0.028%29 Oct →
dust27–13-0.0513%29 Oct →
anubis2–13-0.0314%29 Oct →
nuke15–15-0.017%27 Oct →
nuke7–13-0.027%25 Oct →
dust213–20.088%25 Oct →
cache3–13-0.099%25 Oct →
nuke7–13-0.0415%9 Oct →
ancient9–130.0722%9 Oct →
dust28–13-0.039%8 Oct →
ancient13–2-0.043%8 Oct →
train3–13-0.0514%8 Oct →
vertigo2–13-0.0810%1 Oct →
train6–13-0.0510%1 Oct →
vertigo13–4-0.046%1 Oct →
vertigo5–13-0.0410%30 Sept →
mirage7–13-0.099%25 Sept →
mirage6–13-0.0712%25 Sept →
ancient13–11-0.0112%24 Sept →
ancient4–13-0.0213%24 Sept →
anubis12–16-0.0211%24 Sept →
nuke11–130.0411%24 Sept →
ancient11–13-0.029%24 Sept →
vertigo9–13-0.0113%17 Sept →
ancient7–00.0213%12 Sept →
nuke5–9-0.0613%12 Sept →
cache8–130.038%11 Sept →
dust22–13-0.058%11 Sept →
mirage13–90.0520%10 Sept →
dust213–7-0.0110%10 Sept →
dust22–13-0.0614%9 Sept →
vertigo3–130.0112%9 Sept →
vertigo11–130.0114%9 Sept →
nuke9–13-0.0211%9 Sept →
cache9–130.0124%2 Sept →
inferno13–60.0213%2 Sept →
anubis13–110.0111%1 Sept →
inferno11–13-0.018%1 Sept →
cache12–12-0.028%28 Aug →
vertigo11–130.025%28 Aug →
cache13–16-0.0618%27 Aug →
vertigo6–13-0.036%27 Aug →
cache3–80.000%27 Aug →
nuke10–90.0019%26 Aug →
nuke8–13-0.017%19 Aug →
cache11–130.068%19 Aug →
cache2–13-0.0311%19 Aug →
train13–3-0.0723%19 Aug →
vertigo0–13-0.0318%19 Aug →
cache12–16-0.0512%12 Aug →
anubis5–130.0211%11 Aug →
nuke13–20.0216%11 Aug →
ancient13–80.0217%11 Aug →
anubis7–13-0.0120%8 Aug →
anubis13–60.056%8 Aug →
nuke9–13-0.0111%8 Aug →
ancient13–90.029%8 Aug →
ancient13–30.0611%6 Aug →
anubis13–11-0.0022%6 Aug →
dust213–11-0.0529%6 Aug →
nuke6–13-0.0316%30 Jul →
cache7–13-0.0318%30 Jul →
anubis9–13-0.0014%29 Jul →
nuke13–11-0.048%29 Jul →
nuke13–20.0210%22 Jul →
nuke9–130.036%22 Jul →
ancient13–10-0.049%22 Jul →
cache5–13-0.0210%22 Jul →
nuke7–13-0.0416%22 Jul →
inferno8–13-0.028%20 Jul →
nuke13–40.079%20 Jul →
cache3–13-0.089%20 Jul →
ancient13–80.0614%20 Jul →
inferno13–20.077%15 Jul →
cache11–130.008%15 Jul →
ancient13–5-0.059%15 Jul →
nuke10–130.0311%15 Jul →
nuke13–11-0.055%14 Jul →
nuke6–13-0.077%14 Jul →
ancient13–60.0410%14 Jul →
cache15–15-0.0114%14 Jul →
cache13–7-0.019%14 Jul →
cache4–13-0.0318%14 Jul →
ancient2–13-0.058%14 Jul →
inferno9–13-0.042%14 Jul →
ancient14–16-0.0212%14 Jul →
inferno9–13-0.0811%14 Jul →
anubis13–70.0412%14 Jul →
inferno7–13-0.077%13 Jul →
mirage10–13-0.0510%13 Jul →
anubis13–11-0.017%13 Jul →
ancient13–11-0.034%13 Jul →

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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