fiesta — CS2 Stats

76561199035799522[U:1:1075533794]

2,577Tracked matches53%Win rate2020Tracked since
CSDB Rating6.9 SolidAggressive Rifler
FaceitLevel 10 · 2,822 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGfiestaFACEITLevel 10 · 2,822 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim85
Positioning53
Utility56

0–100 skill scores via Leetify.

Recent form

HOT4753Last 10047%Win rateLWWWWLLWWW

Last 10 vs previous 10: +40pp win rate · -0.01 avg rating

Player DNA

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

Aim8.5
Aggression8.5
Utility5.6
Positioning5.3
Opening Duels3.9
Clutch3.4

Sharp aimerExcellent counter-strafingStrong CT-side openerEffective flashes

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

b1t

Plays most like b1t 92% playstyle similarity

Most alike: opening-fight frequency, 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

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 54% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 633ms 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

Aim8.5
Positioning5.3
Utility5.6
Mechanics8.5
Opening Duels3.9
Win Impact6.1

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time638ms+5ms
first ⅓ avg 633ms → last ⅓ avg 638ms
Headshot accuracy26.9%+4.2%
first ⅓ avg 22.7% → last ⅓ avg 26.9%

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

0.15Best rating — train 13–3
133Biggest win — train
4Longest win streak
116In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 66% over 29ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2S29191066%0.01
mirageC27111641%0.00
infernoC145936%0.00
ancientD82625%-0.01
overpassB84450%0.01
trainC83538%0.02
anubis21150%0.01
nuke21150%0.01
cache21150%0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,578Matches
51%Win rate
1.12Avg K/D
82.2ADR
50%Headshot %

Clutches & streaks

37%1v1 clutch win
21%1v2 clutch win
18Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust245959%1.1517.0
Mirage45252%1.1317.3
Ancient23143%1.0216.3
Inferno17350%1.0616.1
Train5648%1.0715.8
Overpass4943%0.9415.9
Anubis2941%0.8414.1
Nuke2627%0.8313.5

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.

25.1%Headshot accuracy
35.0%Accuracy (enemy spotted)
39.0%Spray accuracy
88.2%Counter-strafing
7.8°Preaim
633msReaction time
37.4%T opening success
53.9%CT opening success
0.76Enemies flashed / flash
6.1%Flash assists
8.69HE damage / grenade
8.31Flashes / 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 37.417% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis3–13-0.0433%9 Jul
dust213–70.0724%9 Jul
mirage16–140.0225%9 Jul
ancient16–140.0232%24 May
dust213–110.0225%23 May
ancient5–13-0.0120%18 May
dust23–13-0.0112%14 May
overpass13–8-0.0141%14 May
dust213–100.0027%8 May
mirage13–4-0.0231%8 May
nuke8–6-0.0121%8 May
overpass9–130.0531%5 May
mirage0–7-0.0550%2 May
dust23–130.0131%2 May
cache9–130.0632%1 May
cache13–100.0926%1 May
dust27–13-0.0218%22 Apr
dust216–190.0324%18 Apr
mirage13–110.0119%6 Apr
dust26–13-0.0421%4 Apr
mirage7–13-0.0828%4 Apr
inferno13–50.0118%14 Mar
anubis13–100.0626%21 Feb
mirage13–6-0.0029%30 Jan
ancient7–13-0.0611%28 Jan
inferno7–13-0.0418%14 Jan
mirage13–70.0737%2 Jan
train5–13-0.0317%13 Oct
train13–110.0118%12 Oct
mirage13–70.0528%3 Oct
dust213–40.0627%23 Sept
inferno8–130.0362%22 Sept
dust213–100.0627%21 Sept
mirage8–13-0.0114%20 Sept
train13–60.0531%19 Sept
inferno5–13-0.0315%17 Sept
mirage8–130.0035%16 Sept
mirage13–4-0.0121%14 Sept
inferno13–40.0741%12 Sept
overpass3–13-0.0119%7 Sept
dust25–13-0.0221%4 Sept
train13–30.1540%29 Aug
dust213–100.0312%27 Aug
overpass6–13-0.0724%23 Aug
dust213–110.0233%22 Aug
ancient13–16-0.0219%21 Aug
mirage10–13-0.0728%20 Aug
inferno6–130.0324%20 Aug
overpass13–30.0129%19 Aug
overpass9–13-0.0334%17 Aug
dust213–5-0.0030%4 Aug
dust219–160.0024%3 Aug
mirage11–13-0.0226%3 Aug
dust28–130.0230%29 Jul
overpass13–60.0314%29 Jul
mirage13–100.0328%29 Jul
mirage9–13-0.0325%29 Jul
dust216–12-0.0228%29 Jul
ancient13–160.0226%25 Jul
overpass16–140.0933%20 Jul
dust213–60.0332%16 Jul
train5–13-0.0230%16 Jul
dust213–110.0019%15 Jul
mirage7–130.0324%7 Jul
mirage13–70.0929%6 Jul
dust214–16-0.0022%6 Jul
inferno13–100.0226%5 Jul
mirage13–100.0820%5 Jul
dust27–13-0.0722%1 Jul
nuke12–160.0226%29 Jun
train7–13-0.0628%27 Jun
dust213–11-0.0125%20 Jun
dust213–110.0112%20 Jun
dust213–70.0715%20 Jun
inferno11–130.0718%19 Jun
mirage2–130.0117%17 Jun
inferno13–5-0.0919%17 Jun
inferno5–13-0.0417%17 Jun
mirage2–13-0.0711%15 Jun
inferno7–130.0124%15 Jun
dust219–150.0617%12 Jun
ancient11–130.039%11 Jun
ancient9–12-0.0217%6 Jun
train8–130.0620%6 Jun
mirage9–13-0.0127%6 Jun
mirage8–130.0123%6 Jun
dust213–100.0519%3 Jun
dust211–13-0.0237%3 Jun
mirage5–13-0.0229%2 Jun
dust213–80.0224%31 May
inferno4–13-0.0422%29 May
mirage7–130.0728%29 May
mirage11–13-0.0227%28 May
train5–100.0347%28 May
inferno5–13-0.0234%28 May
mirage5–13-0.0524%28 May
mirage13–60.0732%28 May
inferno13–90.0627%28 May
ancient13–6-0.049%27 May
dust213–4-0.0123%27 May

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →