zs0lt1-- — CS2 Stats

76561198171068674[U:1:210802946]✓ No bans

6,673Tracked matches47%Win rate2020Tracked since
CSDB Rating6.8 SolidHybrid Rifler
FaceitLevel 10 · 3,333 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GGzs0lt1--FACEITLevel 10 · 3,333 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim94
Positioning52
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY52462Last 10052%Win rateLLWLWLLWWL

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim9.4
Aggression6.2
Utility5.0
Positioning5.2
Opening Duels3.0
Clutch4.0

Sharp aimerStrong CT-side openerLimited utility dependence

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: opening-fight frequency, aim profile.

Where you differ: lower utility contribution.

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

Aim. Aim score of 94 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 42 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 53% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 567ms 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

Aim9.4
Positioning5.2
Utility5.0
Mechanics8.0
Opening Duels3.0
Win Impact3.9

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time570ms+16ms
first ⅓ avg 554ms → last ⅓ avg 570ms
Headshot accuracy23.9%−3.7%
first ⅓ avg 27.6% → last ⅓ avg 23.9%

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

0.13Best rating — train 13–2
131Biggest win — inferno
8Longest win streak
L2Current streak
84In matches decided by ≤2 rounds
9Overtime games

Map breakdown

trainBest map · 75% over 8ancientWeakest map · 39% over 28
MapGradePlayedRecordWin rateAvg rating
ancientC28111739%0.01
mirageB22111150%-0.01
infernoA149564%0.02
dust2S139469%0.01
trainS86275%0.05
anubisA53260%0.00
nukeC52340%-0.02
overpass31233%-0.01
office1010%0.10
italy1010%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (39% over 28). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

8,851Matches
52%Win rate
1.18Avg K/D
82.8ADR
50%Headshot %

Clutches & streaks

40%1v1 clutch win
22%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage168054%1.2117.7
Ancient111751%1.2217.8
Dust268052%1.2117.3
Anubis46853%1.1717.0
Inferno34254%1.1716.8
Nuke23146%1.1717.9
Train15648%1.1517.7
Overpass13948%1.1316.8

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.

24.5%Headshot accuracy
43.5%Accuracy (enemy spotted)
47.3%Spray accuracy
86.2%Counter-strafing
9.3°Preaim
567msReaction time
31.4%T opening success
53.0%CT opening success
0.50Enemies flashed / flash
5.3%Flash assists
9.53HE damage / grenade
4.15Flashes / 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 31.4231% — 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.

39% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.0917%18 Aug
anubis10–13-0.0322%5 Aug
mirage13–50.0817%30 Jul
ancient12–16-0.0324%25 Jul
mirage13–11-0.0820%24 Jul
mirage10–13-0.0322%24 Jul
ancient9–130.0118%21 Jul
ancient19–160.0525%19 Jul
dust213–10-0.0217%18 Jul
ancient4–13-0.0837%5 Jul
inferno5–13-0.0230%5 Jul
ancient7–130.0210%3 Jul
mirage10–13-0.0121%3 Jul
inferno13–50.0142%1 Jul
inferno13–50.0444%30 Jun
dust213–50.0220%30 Jun
ancient8–13-0.0121%29 Jun
mirage6–13-0.048%29 Jun
inferno13–30.0318%29 Jun
anubis13–110.0126%26 Jun
ancient7–130.0539%31 May
ancient13–70.0633%15 May
inferno13–60.0325%15 May
ancient10–13-0.0120%15 May
overpass10–13-0.0232%4 May
dust213–2-0.037%4 May
mirage13–40.0424%20 Apr
nuke6–13-0.0329%16 Apr
ancient13–100.0033%13 Apr
ancient6–13-0.0138%10 Apr
mirage8–13-0.0519%7 Apr
nuke13–11-0.0115%2 Apr
mirage13–30.0220%2 Apr
dust213–50.1024%27 Jan
ancient13–50.0444%27 Jan
inferno13–20.0733%20 Jan
anubis13–10-0.0521%20 Jan
anubis7–13-0.0220%15 Jan
inferno16–140.0314%11 Jan
dust213–110.0527%5 Jan
mirage13–70.0736%4 Jan
ancient4–13-0.0638%31 Dec
train13–100.0125%30 Dec
ancient6–13-0.0618%21 Dec
mirage20–220.0031%20 Dec
inferno10–130.0923%15 Dec
ancient5–130.0022%11 Dec
ancient16–140.0040%7 Dec
ancient13–80.0426%6 Dec
dust28–13-0.0125%2 Dec
ancient8–13-0.0235%30 Nov
dust26–13-0.0210%30 Nov
mirage13–80.0741%30 Nov
ancient13–70.0626%24 Nov
mirage22–180.0520%18 Nov
dust213–20.0424%14 Nov
train13–20.1319%7 Nov
dust213–10-0.0218%4 Nov
inferno13–10.0024%27 Oct
ancient13–80.0925%27 Oct
inferno6–13-0.1125%25 Oct
mirage4–13-0.0432%25 Oct
ancient11–13-0.0642%25 Oct
nuke13–9-0.0222%21 Oct
anubis13–20.1039%21 Oct
dust27–13-0.0627%15 Oct
overpass13–10-0.0111%13 Oct
nuke10–13-0.0528%12 Oct
ancient13–20.1213%12 Oct
mirage8–13-0.0216%10 Oct
office12–120.1052%6 Oct
mirage13–110.0319%5 Oct
ancient14–16-0.0130%2 Oct
mirage5–13-0.0134%29 Sept
ancient13–90.0024%29 Sept
mirage13–7-0.0825%28 Sept
mirage10–13-0.0520%27 Sept
overpass9–130.0131%26 Sept
train1–13-0.0728%23 Sept
dust213–70.0236%23 Sept
inferno9–130.0634%23 Sept
train9–130.0734%23 Sept
mirage13–11-0.076%22 Sept
mirage13–40.0027%21 Sept
train13–40.0210%20 Sept
dust213–30.0567%20 Sept
inferno8–13-0.0426%20 Sept
mirage7–130.0326%19 Sept
ancient6–13-0.0726%18 Sept
ancient9–13-0.0224%16 Sept
dust27–130.0323%15 Sept
italy12–120.0224%15 Sept
ancient13–60.0639%14 Sept
inferno13–90.0729%14 Sept
train13–100.0734%14 Sept
train13–20.0864%14 Sept
ancient7–130.0315%14 Sept
train16–130.0516%13 Sept
inferno19–15-0.0116%12 Sept
nuke11–13-0.0115%12 Sept

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →