XinA — CS2 Stats

76561199466679756[U:1:1506414028]✓ No bans

1,428Tracked matches48%Win rate2023Tracked since
CSDB Rating6.1 SolidAggressive Rifler
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGXinAFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim73
Positioning58
Utility59

0–100 skill scores via Leetify.

Recent form

HOT51463Last 10051%Win rateLWWWLWWWLW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

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

Aim7.3
Aggression7.3
Utility5.9
Positioning5.8
Opening Duels4.5
Clutch6.0

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

iM

Plays most like iM 93% playstyle similarity

Most alike: opening-duel success, 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

CT openings. 65% 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 65% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 605ms 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

Aim7.3
Positioning5.8
Utility5.9
Mechanics6.7
Opening Duels4.5
Win Impact4.4

Composite 6.1/10 (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 rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time617ms−30ms
first ⅓ avg 647ms → last ⅓ avg 617ms
Headshot accuracy22.3%+1.9%
first ⅓ avg 20.4% → last ⅓ avg 22.3%

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

0.17Best rating — vertigo 9–1
131Biggest win — mirage
6Longest win streak
69In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 67% over 6mirageWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
dust2A2112957%0.00
mirageC1761135%-0.01
infernoB178947%0.01
cacheA169756%0.02
trainC73443%0.02
ancientS64267%-0.01
anubisA53260%0.00
nuke31233%-0.04
overpass32167%-0.07
vertigo220100%0.06
italy1010%-0.01
eldorado110100%0.16
poseidon1010%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

15Matches
53%Win rate
1.20Avg K/D
80.8ADR
39%Headshot %

Clutches & streaks

50%1v1 clutch win
25%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage560%0.8012.8
Dust2475%1.4418.3
Inferno1100%2.3328.0

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.

21.7%Headshot accuracy
35.2%Accuracy (enemy spotted)
35.6%Spray accuracy
80.2%Counter-strafing
9.7°Preaim
605msReaction time
31.1%T opening success
64.6%CT opening success
0.52Enemies flashed / flash
8.2%Flash assists
8.35HE damage / grenade
15.20Flashes / 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 31.1467% — below the 40% mark we flag

Spend your practice time on Mirage

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

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage6–13-0.0626%27 Aug
anubis13–70.019%26 Aug
mirage13–60.0129%26 Aug
cache13–90.0712%26 Aug
mirage9–130.017%26 Aug
cache13–70.0935%26 Aug
nuke13–8-0.0726%25 Aug
inferno13–30.0820%23 Aug
dust23–13-0.0317%17 Aug
inferno13–50.0831%17 Aug
inferno10–13-0.0116%17 Aug
mirage13–100.0315%13 Aug
ancient13–30.0439%13 Aug
inferno8–13-0.0913%13 Aug
dust213–50.0820%13 Aug
dust213–20.0127%11 Aug
dust24–130.0526%11 Aug
train13–70.0318%8 Aug
dust212–12-0.0028%8 Aug
anubis5–130.0314%8 Aug
mirage16–130.1113%8 Aug
dust213–7-0.0227%30 Jul
inferno8–130.0215%30 Jul
mirage11–130.0327%27 Jul
cache11–130.0234%25 Jul
nuke6–13-0.0419%24 Jul
inferno4–60.1122%23 Jul
dust26–13-0.0625%23 Jul
train9–13-0.0518%23 Jul
train9–130.0729%23 Jul
overpass13–90.0224%23 Jul
mirage13–10.0133%22 Jul
anubis5–13-0.0422%22 Jul
italy0–5-0.018%22 Jul
mirage0–13-0.068%22 Jul
train13–40.0613%20 Jul
inferno2–6-0.0118%17 Jul
dust213–5-0.0110%17 Jul
mirage13–100.0430%15 Jul
eldorado9–10.1611%14 Jul
anubis13–20.0313%14 Jul
train7–130.0414%14 Jul
cache8–13-0.0120%14 Jul
vertigo9–10.1714%14 Jul
mirage5–13-0.0825%14 Jul
inferno13–80.0725%7 Jul
cache13–30.0536%7 Jul
ancient13–70.0224%7 Jul
cache13–10-0.0119%7 Jul
dust213–4-0.0110%7 Jul
cache4–13-0.0031%7 Jul
dust213–11-0.0422%7 Jul
dust213–110.0120%5 Jul
cache7–13-0.039%5 Jul
mirage11–130.0216%5 Jul
cache13–11-0.0313%1 Jul
dust211–13-0.0416%1 Jul
ancient1–13-0.138%30 Jun
poseidon7–90.0317%30 Jun
inferno9–50.0219%30 Jun
cache13–11-0.0114%29 Jun
dust213–60.0525%29 Jun
nuke4–13-0.0224%29 Jun
mirage0–3-0.030%27 Jun
cache13–40.0332%26 Jun
dust26–13-0.0219%26 Jun
anubis13–7-0.0026%25 Jun
dust213–5-0.0436%25 Jun
dust213–90.0629%20 Jun
dust211–13-0.0319%18 Jun
train13–7-0.0018%18 Jun
cache10–13-0.0417%18 Jun
cache2–8-0.0217%11 Jun
ancient1–13-0.0250%11 Jun
inferno13–70.0015%11 Jun
mirage9–13-0.0622%10 Jun
inferno13–8-0.0117%10 Jun
cache10–130.0619%10 Jun
overpass13–70.0229%10 Jun
dust213–2-0.0225%10 Jun
cache13–8-0.0027%9 Jun
inferno13–20.0119%9 Jun
ancient13–50.0418%9 Jun
vertigo13–11-0.0518%9 Jun
dust212–12-0.0220%9 Jun
dust210–130.058%8 Jun
mirage13–110.0114%8 Jun
cache13–70.0918%8 Jun
inferno12–12-0.0520%8 Jun
dust213–90.0511%8 Jun
mirage5–13-0.0514%8 Jun
mirage7–13-0.0519%7 Jun
inferno11–130.0515%6 Jun
ancient13–50.0124%6 Jun
mirage8–13-0.0719%6 Jun
inferno13–60.0116%6 Jun
train4–13-0.007%6 Jun
overpass0–5-0.2413%6 Jun
inferno4–9-0.1144%6 Jun
inferno7–90.0214%6 Jun

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 →