ambulars

ambulars — CS2 Stats

76561198444768365[U:1:484502637]Steam profile ↗✓ No bans

3,335Tracked matches40%Win rate2022Tracked since
CSDB Rating5.2 DevelopingSupport
CSDB Leaderboard#98879 of 251281 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (34 days ago). Ranks are recorded once per day this page is viewed.

+54Tracked matches · now 3,335
−13.3ppWin rate · 53.3% → 40.0%

Rating over time

Premier CS Rating: 18,725 -129 25 Aug – 8 Sept · 4 days played
18,72518,854peak 18,85425 Aug8 Sept
Faceit ELO: 1,626 +0 28 Aug – 8 Sept · 2 observations
1,6261,626peak 1,62628 Aug8 Sept
19,886Peak Premier in tracked matches
1,626Highest Faceit ELO seen on CSDB
29Days played since 2026-08-18

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.GGambularsFACEITLevel 8STANDINGTop 31.2% of rankedPEAK ELO1,626csdb.gg/stats

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Performance scores

Aim63
Positioning52
Utility76

0–100 skill scores via Leetify.

Recent form

COLD47–53Last 10047%Win rateLLWWLWLLLL

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · +4.3pp headshot accuracy · +15ms 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 -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 645ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 620ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 612ms

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 (+3.4 against its own average).

Aim6.3
Utility7.6
Positioning5.2
Opening Duels1.2
Clutch3.0

High utility contribution

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 72% 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

Strengths

Utility. Utility score of 76 — grenade impact well above the norm.

Areas to improve

Reaction time. 629ms 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

Aim6.3
Positioning5.2
Utility7.6
Mechanics5.6
Opening Duels1.6
Win Impact1.7

Composite 5.2/10 (Developing), 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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time621ms−14ms
first ⅓ avg 635ms → last ⅓ avg 621ms
Headshot accuracy18.0%+2.7%
first ⅓ avg 15.3% → last ⅓ avg 18.0%

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

0.12Best match rating · 13–8 · mirage, 2 Oct →
35%Best headshot accuracy · 7–13 · mirage, 30 Sept →
469msFastest reaction time · 7–13 · mirage, 30 Sept →
13–1Biggest win · mirage, 29 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
9–13In matches decided by ≤2 rounds
14Overtime games

Map breakdown

mirageBest map · 65% over 17nukeWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
mirageS1711–665%0.01
anubisA1610–663%-0.00
ancientB157–847%0.01
nukeD124–833%-0.01
dust2B115–645%0.02
infernoC114–736%-0.02
cacheD93–633%-0.03
overpass—42–250%0.02
train—21–150%0.00
tuscan_d—10–10%0.02
cbble_d—10–10%-0.03
vertigo—10–10%-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

859Matches
50%Win rate
1.06Avg K/D
77.5ADR
47%Headshot %

Clutches & streaks

35%1v1 clutch win
23%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage24244%1.0114.8
Inferno14447%1.0815.6
Anubis12556%1.0615.7
Ancient11654%1.0015.7
Dust210655%1.0414.9
Nuke6653%1.2816.9
Vertigo2548%0.8913.4
Train2152%1.3015.6

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.

17.3%Headshot accuracy
35.1%Accuracy (enemy spotted)
39.5%Spray accuracy
75.2%Counter-strafing
10.2°Preaim
629msReaction time
41.6%T opening success
31.5%CT opening success
0.63Enemies flashed / flash
12.7%Flash assists
13.96HE damage / grenade
12.42Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 31.4878% — below the 40% mark we flag

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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0211%8 Oct →
cache6–13-0.0313%8 Oct →
mirage13–11-0.0315%8 Oct →
mirage13–3-0.0035%8 Oct →
tuscan_d9–130.0212%3 Oct →
train13–20.0525%3 Oct →
nuke8–13-0.0110%3 Oct →
cache0–13-0.1510%3 Oct →
inferno8–130.0128%3 Oct →
mirage3–13-0.0522%3 Oct →
overpass6–13-0.0013%3 Oct →
ancient13–80.0311%3 Oct →
anubis13–110.0512%3 Oct →
ancient10–130.0212%3 Oct →
inferno7–130.0015%2 Oct →
mirage13–80.1227%2 Oct →
nuke3–13-0.0316%2 Oct →
cbble_d11–13-0.036%2 Oct →
dust24–13-0.0416%2 Oct →
cache13–90.0811%2 Oct →
inferno13–8-0.0315%1 Oct →
nuke11–13-0.0114%1 Oct →
cache16–130.0117%1 Oct →
ancient16–120.0532%30 Sept →
mirage7–13-0.0335%30 Sept →
nuke9–13-0.0222%30 Sept →
mirage13–11-0.0121%30 Sept →
mirage13–70.0411%29 Sept →
anubis3–13-0.0822%29 Sept →
anubis7–13-0.0414%29 Sept →
ancient13–70.0127%29 Sept →
dust213–70.0926%29 Sept →
overpass13–50.0319%28 Sept →
nuke3–13-0.0619%28 Sept →
mirage13–110.0220%27 Sept →
inferno3–13-0.0714%27 Sept →
mirage11–130.0415%26 Sept →
ancient23–25-0.0022%22 Sept →
ancient7–13-0.0510%19 Sept →
inferno13–90.0120%17 Sept →
mirage13–100.0118%16 Sept →
nuke13–10-0.0625%16 Sept →
ancient16–130.0316%11 Sept →
inferno3–13-0.0815%11 Sept →
dust27–13-0.0114%11 Sept →
mirage13–60.0620%11 Sept →
cache16–19-0.0614%11 Sept →
overpass13–50.0724%6 Sept →
mirage17–190.0717%6 Sept →
nuke11–130.0113%6 Sept →
mirage14–160.0310%4 Sept →
inferno9–13-0.0121%2 Sept →
ancient13–80.0525%2 Sept →
inferno16–140.0114%2 Sept →
dust213–90.0521%2 Sept →
nuke5–13-0.0311%2 Sept →
cache20–22-0.0310%1 Sept →
anubis13–30.1010%1 Sept →
dust26–13-0.0213%1 Sept →
inferno13–110.057%1 Sept →
ancient13–90.0719%1 Sept →
vertigo11–13-0.0519%1 Sept →
nuke13–7-0.0316%1 Sept →
cache9–130.0016%30 Aug →
anubis13–100.0224%30 Aug →
anubis10–00.069%30 Aug →
anubis13–4-0.0410%30 Aug →
mirage13–10-0.0115%30 Aug →
ancient13–70.0327%29 Aug →
mirage13–10.0113%29 Aug →
dust213–60.037%29 Aug →
inferno8–13-0.0514%29 Aug →
dust22–130.0120%28 Aug →
anubis13–80.0011%28 Aug →
mirage6–13-0.0215%28 Aug →
train5–13-0.0528%26 Aug →
anubis7–13-0.0513%26 Aug →
nuke19–170.0813%26 Aug →
dust213–60.0717%26 Aug →
anubis1–13-0.070%25 Aug →
dust21–13-0.018%25 Aug →
ancient7–130.0313%25 Aug →
anubis13–10-0.0316%25 Aug →
nuke16–14-0.0410%24 Aug →
anubis13–7-0.0119%24 Aug →
cache6–13-0.049%24 Aug →
mirage13–9-0.0519%24 Aug →
ancient14–160.0322%24 Aug →
anubis13–80.0111%24 Aug →
anubis13–60.0316%23 Aug →
dust213–110.0422%23 Aug →
ancient7–130.0212%23 Aug →
cache13–8-0.0723%22 Aug →
ancient5–13-0.1021%22 Aug →
anubis6–13-0.0117%21 Aug →
inferno17–19-0.036%20 Aug →
nuke11–130.038%20 Aug →
anubis8–13-0.0224%20 Aug →
overpass20–22-0.0216%20 Aug →
ancient3–13-0.0618%18 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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