WILDCARD — CS2 Stats

76561198844506594[U:1:884240866]

1,132Tracked matches64%Win rate2020Tracked since
3,205Hours in CS60Hrs last 2 wks
CSDB Rating5.1 Developing
Premier CS Rating12,203Blue band · top ~43.2% of ranked players (population est.)
CSDB Leaderboard#26865 of 39184 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate41.8%41.4%44.2%2.4% short
Shot accuracy8.3%9.0%11.6%3.3% short
Kill/death ratio1.010.971.030.02 short
Match win rate44.2%43.7%45.2%1.1% short

This profile sits below the typical Purple band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGWILDCARDPREMIER12,203 · Blue bandcsdb.gg/stats

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Performance scores

Aim59
Positioning38
Utility49

0–100 skill scores via Leetify.

Recent form

HOT54415Last 10054%Win rateLWWWWWLWWL

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating

Player DNA

Aim5.9
Aggression2.5
Utility4.9
Positioning3.8
Opening Duels0.1
Clutch2.0

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 74% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 601ms 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

Aim5.9
Positioning3.8
Utility4.9
Mechanics6.2
Opening Duels1.7
Win Impact9.8

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time609ms−52ms
first ⅓ avg 661ms → last ⅓ avg 609ms
Headshot accuracy17.9%+2.0%
first ⅓ avg 15.9% → last ⅓ avg 17.9%

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

0.11Best rating — ancient 13–6
130Biggest win — mirage
6Longest win streak
74In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 67% over 15mirageWeakest map · 39% over 23
MapGradePlayedRecordWin rateAvg rating
mirageC2391439%-0.02
dust2S1510567%0.00
cacheB157847%-0.01
anubisA138562%0.02
ancientA116555%-0.01
infernoC94544%-0.02
vertigoS64267%-0.00
nuke42250%-0.02
overpass110100%0.05
italy110100%0.02
shelter110100%0.02
poseidon110100%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (39% over 23). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

65,356Lifetime kills
1.01K/D · Top 50% of Blue band
4,101Matches
44.2%Match win rate · Top 50% of Blue band
41.8%Headshot % · Top 50% of Blue band
8.3%Shot accuracy
9,563MVPs
1,398Hours (in match)
3,931Bombs planted
766Bombs defused

Most-used weapons

Lifetime map wins

4,633inferno
3,971dust2
2,526nuke
2,524vertigo
2,071train
729office
512lake
273cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

14Matches
43%Win rate
0.75Avg K/D
67.6ADR
36%Headshot %

Clutches & streaks

30%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage667%0.8312.8
Dust2367%0.7710.3
Ancient20%0.6010.0
Inferno20%0.6912.5
Overpass10%0.609.0

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.

17.4%Headshot accuracy
31.7%Accuracy (enemy spotted)
32.1%Spray accuracy
77.7%Counter-strafing
9.4°Preaim
601msReaction time
17.3%T opening success
43.4%CT opening success
0.41Enemies flashed / flash
7.3%Flash assists
7.94HE damage / grenade
6.46Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4102 — below the 0.5 mark we flag

    Grenade Lineups
  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 17.3422% — 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.

39% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust21–130.0156%29 Aug
anubis13–70.0818%29 Aug
dust213–50.1012%29 Aug
mirage13–3-0.0224%29 Aug
vertigo13–50.0218%29 Aug
dust213–20.0313%29 Aug
cache9–13-0.0726%28 Aug
cache13–5-0.0642%28 Aug
mirage13–50.0220%28 Aug
dust25–13-0.0616%28 Aug
inferno15–15-0.0316%28 Aug
dust213–3-0.0123%28 Aug
dust214–160.0423%26 Aug
mirage7–13-0.0427%26 Aug
ancient8–13-0.0311%26 Aug
mirage13–11-0.0112%26 Aug
cache9–13-0.0213%25 Aug
dust213–5-0.049%25 Aug
anubis15–15-0.0114%25 Aug
inferno7–13-0.108%24 Aug
cache13–4-0.035%24 Aug
ancient13–60.0210%24 Aug
mirage13–00.0624%24 Aug
cache9–13-0.058%23 Aug
anubis13–20.0124%23 Aug
mirage13–7-0.0215%23 Aug
nuke13–6-0.0212%23 Aug
inferno13–7-0.0519%23 Aug
cache14–16-0.0415%23 Aug
anubis13–40.0921%23 Aug
overpass13–110.0510%23 Aug
anubis13–90.0110%23 Aug
italy13–100.0217%22 Aug
vertigo13–50.0625%22 Aug
mirage3–13-0.044%22 Aug
nuke12–120.0217%22 Aug
mirage13–11-0.0214%21 Aug
cache13–30.0126%21 Aug
nuke7–13-0.0429%21 Aug
shelter13–10.028%21 Aug
vertigo13–10-0.0911%21 Aug
ancient13–60.1124%20 Aug
ancient1–13-0.1014%20 Aug
dust213–11-0.0126%20 Aug
mirage8–13-0.0118%20 Aug
cache10–13-0.0326%20 Aug
anubis10–130.0527%20 Aug
mirage13–3-0.0519%20 Aug
dust213–40.0212%20 Aug
cache13–16-0.0220%19 Aug
dust213–80.0517%19 Aug
inferno8–13-0.0414%19 Aug
mirage8–13-0.0628%19 Aug
anubis10–13-0.0413%19 Aug
mirage9–13-0.0110%19 Aug
dust213–40.0224%19 Aug
inferno13–40.0942%19 Aug
vertigo9–60.0315%19 Aug
mirage6–13-0.0116%19 Aug
anubis13–90.0017%18 Aug
vertigo6–90.0326%18 Aug
mirage5–13-0.0518%13 Aug
ancient13–50.0017%13 Aug
nuke16–13-0.0414%13 Aug
ancient8–13-0.0410%13 Aug
dust26–13-0.0523%13 Aug
anubis13–50.0316%13 Aug
cache13–80.0813%13 Aug
vertigo8–8-0.0813%13 Aug
ancient13–16-0.0511%11 Aug
inferno13–30.0610%11 Aug
mirage10–13-0.0022%11 Aug
cache13–90.0319%10 Aug
mirage14–160.0314%10 Aug
poseidon9–5-0.0210%2 Aug
dust210–13-0.0523%2 Aug
cache13–80.0017%2 Aug
cache10–13-0.0214%1 Aug
dust213–60.018%1 Aug
ancient13–70.0016%1 Aug
anubis13–5-0.0111%1 Aug
dust213–11-0.0125%1 Aug
mirage13–11-0.0113%1 Aug
inferno13–0-0.0110%31 Jul
mirage10–13-0.0416%30 Jul
anubis8–13-0.0115%30 Jul
ancient13–8-0.0223%30 Jul
cache10–13-0.0224%30 Jul
inferno5–13-0.069%30 Jul
mirage7–130.0610%30 Jul
mirage10–13-0.0122%30 Jul
anubis13–20.0324%30 Jul
mirage2–13-0.0510%30 Jul
anubis15–150.0020%30 Jul
ancient11–13-0.0615%30 Jul
cache13–90.0214%29 Jul
mirage10–13-0.0111%29 Jul
inferno8–13-0.079%29 Jul
mirage13–5-0.0633%29 Jul
ancient13–110.0421%29 Jul

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 →