BALTAZAR

BALTAZAR — CS2 Stats

CA76561198012172719[U:1:51906991]Steam profile ↗✓ No bans

2,098Tracked matches61%Win rate2020Tracked since
CSDB Rating6.7 SolidAggressive Rifler
Ladder ranks via Leetify

Performance scores

Aim83
Positioning56
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY523810Last 10052%Win rateWLWLWWWWLL

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.3
Aggression7.3
Utility6.6
Positioning5.6
Opening Duels2.9

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Twistzz

Plays most like Twistzz 93% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 60% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.3
Positioning5.6
Utility6.6
Mechanics5.5
Opening Duels3.8
Win Impact8.6

Composite 6.7/10 (Solid), 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 rating0.03−0.03
first ⅓ avg 0.06 → last ⅓ avg 0.03
Reaction time478ms−74ms
first ⅓ avg 551ms → last ⅓ avg 478ms
Headshot accuracy18.9%+0.8%
first ⅓ avg 18.1% → last ⅓ avg 18.9%

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.

Highlights

0.23Best rating — nuke 13–5
131Biggest win — mirage
6Longest win streak
77In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 73% over 11infernoWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
dust2C32141844%0.04
infernoD1551033%0.02
mirageB137654%0.04
ancientS118373%0.05
nukeS96367%0.07
anubisA85363%0.04
trainS64267%0.07
cacheB63350%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

164Matches
57%Win rate
1.32Avg K/D
ADR
43%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLLW

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.

18.8%Headshot accuracy
36.9%Accuracy (enemy spotted)
41.9%Spray accuracy
74.6%Counter-strafing
9.1°Preaim
472msReaction time
23.1%T opening success
60.0%CT opening success
0.69Enemies flashed / flash
11.1%Flash assists
9.93HE damage / grenade
9.31Flashes / 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

    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 23.0683% — 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.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–8-0.0120%26 Aug
inferno11–130.0021%26 Aug
ancient13–50.0118%25 Aug
dust23–130.0318%25 Aug
mirage16–14-0.0112%25 Aug
ancient13–11-0.0022%25 Aug
mirage13–10.0113%25 Aug
ancient13–50.029%25 Aug
dust29–130.0425%25 Aug
inferno5–100.0219%25 Aug
train13–20.1418%25 Aug
dust211–13-0.0317%25 Aug
inferno12–120.0028%24 Aug
nuke13–40.0916%24 Aug
dust26–13-0.0219%24 Aug
mirage12–120.0318%24 Aug
inferno10–13-0.0720%24 Aug
dust213–10.0721%24 Aug
inferno13–6-0.0028%23 Aug
dust25–130.0620%23 Aug
anubis11–13-0.0122%23 Aug
dust213–110.0619%22 Aug
inferno6–130.0124%22 Aug
train13–30.0711%22 Aug
ancient13–80.0318%21 Aug
ancient13–30.1130%19 Aug
dust213–30.0610%19 Aug
dust213–9-0.0314%19 Aug
cache13–10-0.0014%19 Aug
ancient11–130.0918%17 Aug
dust212–120.0528%17 Aug
mirage7–130.0616%17 Aug
dust25–130.0417%17 Aug
inferno13–110.0416%17 Aug
nuke13–40.0920%17 Aug
dust210–130.0917%13 Aug
inferno12–12-0.0411%13 Aug
train12–120.0815%12 Aug
anubis11–130.0615%12 Aug
dust28–130.0214%12 Aug
anubis13–30.0216%12 Aug
nuke13–40.0322%11 Aug
inferno0–50.0531%11 Aug
nuke13–50.2325%11 Aug
train12–120.0714%11 Aug
inferno8–130.0812%10 Aug
dust25–13-0.0221%10 Aug
mirage13–10-0.017%10 Aug
ancient13–100.0519%10 Aug
anubis13–60.0114%10 Aug
cache7–13-0.0112%10 Aug
inferno12–120.0117%8 Aug
anubis7–130.1011%8 Aug
inferno13–30.0712%8 Aug
dust211–130.0919%8 Aug
mirage7–20.0225%6 Aug
dust23–80.0321%6 Aug
dust213–40.0128%3 Aug
cache7–130.0520%3 Aug
inferno13–70.0724%2 Aug
ancient8–130.0821%1 Aug
nuke9–130.0121%31 Jul
dust24–13-0.0314%31 Jul
mirage13–60.1020%31 Jul
anubis13–110.0313%30 Jul
train13–50.0621%30 Jul
cache7–13-0.0015%30 Jul
dust210–130.1016%29 Jul
inferno13–10.1112%29 Jul
mirage5–13-0.0317%29 Jul
nuke7–130.0918%28 Jul
inferno10–130.0017%28 Jul
dust213–40.0715%28 Jul
dust25–130.0119%28 Jul
dust213–20.0713%28 Jul
mirage13–60.0721%28 Jul
nuke13–40.0518%27 Jul
cache13–110.0517%27 Jul
nuke13–8-0.0617%24 Jul
dust212–12-0.0114%24 Jul
mirage11–130.0222%24 Jul
dust25–130.1123%24 Jul
ancient13–60.0715%24 Jul
anubis13–80.1015%24 Jul
mirage13–40.1121%24 Jul
dust213–110.1015%22 Jul
dust213–40.0414%22 Jul
ancient13–50.0410%22 Jul
ancient12–120.0317%21 Jul
dust212–120.0720%20 Jul
train13–30.0112%20 Jul
dust213–70.0616%20 Jul
nuke9–130.0823%20 Jul
mirage2–130.0627%20 Jul
dust213–20.0418%19 Jul
mirage8–130.0733%19 Jul
cache13–40.1719%19 Jul
dust213–90.1025%19 Jul
dust213–80.0816%19 Jul
dust213–30.0424%19 Jul

Match data via Leetify.

Milestones

1,000 Matches
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