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Balexi — CS2 Stats

76561198125221369[U:1:164955641]

451Tracked matches57%Win rate2020Tracked since
CSDB Rating5.5 SolidSupport
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGBalexiFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim50
Positioning50
Utility74

0–100 skill scores via Leetify.

Recent form

STEADY56–38–6Last 10056%Win rateLWLWLLLWWL

Last 10 vs previous 10: -40pp win rate · -0.04 avg rating

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim5.0
Aggression4.9
Utility7.4
Positioning5.0
Opening Duels1.2
Clutch5.4

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

NiKo

Plays most like NiKo 85% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: 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

T-side openings. Opening success drops from 43% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 644ms 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

Aim5.0
Positioning5.0
Utility7.4
Mechanics6.8
Opening Duels1.6
Win Impact7.4

Composite 5.5/10 (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 rating-0.03−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time634ms−17ms
first ⅓ avg 651ms → last ⅓ avg 634ms
Headshot accuracy14.2%+1.4%
first ⅓ avg 12.8% → last ⅓ avg 14.2%

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.

Highlights

0.15Best rating — mirage 16–1
16–1Biggest win — mirage
6Longest win streak
7–9In matches decided by ≤2 rounds
28Overtime games

Map breakdown

overpassBest map · 82% over 11ancientWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageA2415–963%-0.02
infernoB199–1047%-0.03
nukeS1713–476%-0.04
overpassS119–282%-0.04
ancientD92–722%-0.06
dust2S75–271%-0.01
trainC52–340%-0.02
vertigo—40–40%-0.03
anubis—30–30%-0.05
grail—11–0100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

436Matches
50%Win rate
0.74Avg K/D
64.8ADR
35%Headshot %

Clutches & streaks

47%1v1 clutch win
17%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno1968%0.8211.9
Mirage1479%0.8912.6
Ancient617%0.6312.5
Nuke475%0.608.3
Train333%1.3012.3
Dust23100%0.7912.3
Overpass3100%0.7712.7
Vertigo10%0.6511.0

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.

13.7%Headshot accuracy
32.2%Accuracy (enemy spotted)
33.4%Spray accuracy
80.4%Counter-strafing
10.8°Preaim
644msReaction time
26.8%T opening success
43.1%CT opening success
0.67Enemies flashed / flash
7.2%Flash assists
12.99HE damage / grenade
6.01Flashes / 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 13.6858% — 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 26.8164% — below the 40% mark we flag

Spend your practice time on Ancient

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage10–13-0.0612%18 Oct →
dust213–11-0.0411%6 Jun →
nuke8–13-0.0617%6 Jun →
mirage13–70.028%1 Jun →
inferno7–13-0.0117%1 Jun →
ancient14–16-0.019%1 Jun →
inferno6–13-0.0720%1 Jun →
mirage16–14-0.049%1 Jun →
inferno13–11-0.0220%31 May →
ancient11–13-0.079%31 May →
dust213–100.0415%31 May →
ancient17–19-0.0211%30 May →
mirage13–40.0415%30 May →
inferno13–6-0.013%30 May →
nuke13–70.017%29 May →
inferno13–10-0.0324%29 May →
mirage11–13-0.0812%29 May →
dust213–90.0116%29 May →
inferno13–50.0611%28 May →
dust213–50.0315%28 May →
ancient13–6-0.0314%28 May →
inferno4–13-0.069%28 May →
nuke13–7-0.0514%28 May →
mirage0–13-0.0827%28 May →
anubis12–12-0.0314%28 May →
inferno12–12-0.0213%28 May →
train13–30.0520%24 May →
ancient6–13-0.114%23 May →
mirage16–14-0.0319%23 May →
nuke6–13-0.0824%23 May →
mirage13–16-0.0613%23 May →
inferno13–5-0.0323%23 May →
ancient9–13-0.0514%23 May →
inferno13–8-0.048%21 May →
anubis3–13-0.0815%21 May →
dust25–13-0.0419%21 May →
mirage13–8-0.0425%21 May →
ancient4–13-0.088%21 May →
train13–16-0.076%21 May →
nuke16–14-0.0516%21 May →
mirage2–13-0.1211%21 May →
inferno3–13-0.1121%16 May →
mirage13–9-0.0315%16 May →
nuke6–13-0.085%16 May →
mirage13–4-0.0019%16 May →
ancient13–6-0.0911%16 May →
train8–13-0.0715%16 May →
overpass13–6-0.0719%14 May →
train13–70.0013%14 May →
dust29–2-0.0519%14 May →
nuke13–40.0316%14 May →
mirage13–7-0.0218%14 May →
vertigo6–13-0.0718%13 May →
nuke13–8-0.0513%13 May →
mirage13–3-0.0128%13 May →
grail13–20.039%13 May →
overpass13–50.0114%7 May →
nuke13–6-0.0411%7 May →
mirage11–13-0.0510%7 May →
train12–120.0122%7 May →
nuke13–5-0.050%7 May →
dust28–13-0.028%1 Jan →
nuke3–13-0.140%1 Jan →
overpass16–13-0.0215%8 Mar →
inferno13–7-0.0117%8 Mar →
vertigo11–13-0.0513%8 Mar →
nuke16–120.0216%11 Jan →
overpass13–70.0218%7 Jan →
overpass13–7-0.087%3 Jan →
mirage13–110.0013%3 Jan →
nuke16–130.0018%2 Jan →
vertigo15–15-0.0012%2 Jan →
inferno15–15-0.0516%2 Jan →
mirage11–130.000%2 Jan →
mirage13–60.0216%19 Dec →
inferno15–15-0.0410%19 Dec →
vertigo9–13-0.0111%19 Dec →
ancient11–13-0.047%17 Dec →
mirage13–10.0310%17 Dec →
anubis8–13-0.0514%17 Dec →
overpass13–3-0.0217%17 Dec →
inferno13–0-0.0113%17 Dec →
nuke13–7-0.0512%14 Dec →
nuke13–9-0.0316%3 Sept →
nuke16–13-0.0910%2 Sept →
mirage13–4-0.0313%2 Sept →
mirage11–16-0.0414%12 Aug →
inferno5–16-0.084%12 Aug →
overpass16–5-0.039%23 Apr →
mirage10–16-0.0217%10 Apr →
overpass16–7-0.0117%10 Apr →
overpass16–8-0.1119%9 Apr →
inferno6–16-0.0724%9 Apr →
inferno16–13-0.0410%30 Mar →
mirage16–60.0219%30 Mar →
overpass7–16-0.1214%29 Mar →
inferno17–190.015%29 Mar →
overpass16–19-0.0211%28 Mar →
mirage16–10.1511%25 Mar →
nuke16–140.0115%24 Mar →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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