BaXter

BaXter — CS2 Stats

NO76561198841376034[U:1:881110306]Steam profile ↗✓ No bans

2,926Tracked matches47%Win rate2020Tracked since
4,715Hours in CS12Hrs last 2 wks
CSDB Rating3.3 LearningClutch Specialist
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (36 days ago). Ranks are recorded once per day this page is viewed.

+41Tracked matches · now 2,926
0.0ppWin rate · 46.7% → 46.7%

Rating over time

36Days played since 2026-08-16

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches4635+11
Win rate52%54%−2pp
K/D0.710.72−0.00
Headshot %38%36%+2pp

Measured 23 Sep 2026 → 26 Oct 2026; previous 28 Aug 2026 → 23 Sep 2026.

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.

Performance scores

Aim25
Positioning35
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY48–51–1Last 10048%Win rateLLWWLWLLLW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −3.5pp headshot accuracy · −41ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 684ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 617ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 638ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+5.2 against its own average).

Aim2.5
Utility5.6
Positioning3.5
Opening Duels0.0
Clutch10.0

Reliable in 1v1s

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 61% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 615ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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
Positioning3.5
Utility5.6
Mechanics3.3
Opening Duels1.7
Win Impact3.9

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-0.04+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time618ms+6ms
first ⅓ avg 612ms → last ⅓ avg 618ms
Headshot accuracy12.2%+0.6%
first ⅓ avg 11.6% → last ⅓ avg 12.2%

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

0.09Best match rating · 8–2 · overpass, 23 Sept →
33%Best headshot accuracy · 1–13 · anubis, 9 Oct →
469msFastest reaction time · 4–13 · inferno, 19 Aug →
13–1Biggest win · mirage, 3 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
10–9In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 75% over 8nukeWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
infernoC218–1338%-0.04
nukeC176–1135%-0.04
ancientB157–847%-0.04
mirageS128–467%-0.04
dust2B115–645%-0.05
cacheS86–275%-0.05
anubisB63–350%-0.03
vertigoC52–340%-0.01
overpass—42–250%-0.00
train—11–0100%-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

119,324Lifetime kills
0.72K/D
6,570Matches
34.6%Match win rate
42.9%Headshot %
15.0%Shot accuracy · Top 50% of tracked players
8,172MVPs
2,862Hours (in match)
4,998Bombs planted
811Bombs defused

Most-used weapons

AK-4728,922
AWP14,076
FAMAS9,008
P2502,270
MP72,247

Lifetime map wins

11,880inferno
8,525nuke
4,102dust2
3,648train
2,296vertigo
431cbble
116lake
78office

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

Faceit stats

Combat

78Matches
54%Win rate
0.83Avg K/D
48.1ADR
40%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust22100%0.528.0
Nuke1100%0.6710.0

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.

12.2%Headshot accuracy
31.5%Accuracy (enemy spotted)
26.6%Spray accuracy
64.8%Counter-strafing
13.3°Preaim
615msReaction time
39.5%T opening success
34.3%CT opening success
0.63Enemies flashed / flash
6.4%Flash assists
10.61HE damage / grenade
10.76Flashes / 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 13.335° — above the 12° mark we flag

    Aim Training →
  2. 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 12.1739% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Nuke

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

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0512%23 Oct →
nuke11–13-0.0411%22 Oct →
ancient13–5-0.0118%22 Oct →
ancient13–4-0.016%21 Oct →
inferno2–13-0.1011%21 Oct →
inferno13–5-0.0319%20 Oct →
overpass10–13-0.062%20 Oct →
nuke9–13-0.0513%20 Oct →
dust212–16-0.0520%19 Oct →
cache13–10-0.0713%19 Oct →
nuke13–8-0.0416%19 Oct →
mirage13–8-0.0110%19 Oct →
ancient9–13-0.026%13 Oct →
nuke13–70.0513%13 Oct →
dust213–6-0.0416%12 Oct →
anubis13–11-0.075%12 Oct →
mirage8–13-0.0815%9 Oct →
nuke5–13-0.0517%9 Oct →
anubis1–13-0.0633%9 Oct →
inferno3–130.0128%7 Oct →
anubis13–70.019%6 Oct →
nuke8–13-0.0513%4 Oct →
inferno9–13-0.068%4 Oct →
overpass16–12-0.065%4 Oct →
inferno13–11-0.047%4 Oct →
ancient5–130.024%4 Oct →
mirage13–7-0.0017%26 Sept →
inferno23–25-0.0416%25 Sept →
cache13–9-0.0410%25 Sept →
dust211–13-0.105%25 Sept →
nuke9–13-0.060%25 Sept →
inferno13–8-0.0118%24 Sept →
nuke13–9-0.028%24 Sept →
overpass8–20.098%23 Sept →
anubis8–130.0210%23 Sept →
dust213–60.025%23 Sept →
mirage10–13-0.065%23 Sept →
mirage7–13-0.0524%22 Sept →
overpass20–220.0114%22 Sept →
dust210–13-0.0719%22 Sept →
inferno10–1-0.099%22 Sept →
nuke13–16-0.0314%16 Sept →
train13–11-0.0630%16 Sept →
inferno12–16-0.0811%16 Sept →
vertigo13–8-0.0117%15 Sept →
ancient16–19-0.0312%15 Sept →
nuke6–13-0.038%14 Sept →
dust211–13-0.0910%14 Sept →
ancient10–13-0.0710%9 Sept →
mirage13–9-0.0910%9 Sept →
ancient16–12-0.0915%9 Sept →
nuke3–13-0.0622%8 Sept →
cache13–3-0.038%8 Sept →
inferno11–13-0.0412%8 Sept →
ancient13–60.0318%4 Sept →
inferno11–13-0.0017%4 Sept →
anubis13–10-0.0215%4 Sept →
vertigo13–3-0.0219%4 Sept →
ancient12–10.037%3 Sept →
mirage13–1-0.028%3 Sept →
nuke13–10-0.0315%3 Sept →
anubis10–13-0.0610%2 Sept →
inferno8–13-0.019%2 Sept →
nuke9–130.029%2 Sept →
nuke13–11-0.0514%2 Sept →
dust210–13-0.0216%1 Sept →
mirage13–11-0.109%1 Sept →
cache13–100.0110%1 Sept →
nuke9–13-0.078%31 Aug →
ancient11–13-0.0815%31 Aug →
inferno2–13-0.108%31 Aug →
cache12–12-0.0910%31 Aug →
mirage9–13-0.045%30 Aug →
ancient13–9-0.0614%30 Aug →
nuke13–5-0.059%30 Aug →
inferno13–10-0.0617%30 Aug →
dust219–17-0.076%29 Aug →
cache13–11-0.0613%29 Aug →
inferno13–11-0.018%28 Aug →
ancient7–13-0.058%28 Aug →
vertigo3–130.0513%28 Aug →
ancient8–13-0.1417%24 Aug →
vertigo7–13-0.053%21 Aug →
mirage13–11-0.079%21 Aug →
cache6–13-0.073%21 Aug →
inferno16–14-0.0317%21 Aug →
mirage22–18-0.0315%20 Aug →
ancient13–9-0.079%20 Aug →
inferno7–13-0.0115%20 Aug →
vertigo10–13-0.029%19 Aug →
ancient9–13-0.0814%19 Aug →
inferno4–13-0.1311%19 Aug →
dust213–9-0.0720%19 Aug →
mirage13–80.0230%18 Aug →
dust211–13-0.0413%18 Aug →
nuke5–13-0.049%18 Aug →
cache16–12-0.0312%17 Aug →
inferno13–70.0317%17 Aug →
dust213–4-0.0010%16 Aug →
inferno9–13-0.098%16 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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