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𝑺𝑰𝒁

𝑺𝑰𝒁 β€” CS2 Stats

MD76561199140219717[U:1:1179953989]Steam profile β†—βœ“ No bans

2,120Tracked matches44%Win rate2023Tracked since
1,766Hours in CS27Hrs last 2 wks
CSDB Rating5.5 Solid
Premier CS Rating17,865Purple band Β· top ~17% of ranked players (population est.)
CSDB Leaderboard#10690 of 19780 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here β€” those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPink band medianvs Pink band
Headshot rate41.6%48.1%6.5% short
Shot accuracy0.0%12.9%12.9% short
Kill/death ratio1.021.080.06 short
Match win rate43.7%46.5%2.8% short

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

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

Share this profile

CSDB.GG𝑺𝑰𝒁PREMIER17,865 Β· Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere β€” it is generated in your browser when you click.

Performance scores

Aim59
Positioning59
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateWTWWLLLWLL

Last 10 vs previous 10: +0pp win rate Β· +0.02 avg rating

Player DNA

Aim5.9
Aggression6.9
Utility6.5
Positioning5.9
Opening Duels3.2
Clutch0.0

Style profile from tracked-match aggregates β€” 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 89% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions β€” it says how you play, not that you play at their level. Full comparison β†’

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 57% on CT to 28% on T β€” the same duels are being taken with worse setups on the attacking side.

Reaction time. 637ms from enemy-visible to first shot leaves fights decided before they start β€” warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers β€” no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.9
Positioning5.9
Utility6.5
Mechanics6.4
Opening Duels3.4
Win Impact3.1

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (Γ—1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01βˆ’0.01
first β…“ avg 0.02 β†’ last β…“ avg 0.01
Reaction time635msβˆ’9ms
first β…“ avg 644ms β†’ last β…“ avg 635ms
Headshot accuracy18.2%+1.6%
first β…“ avg 16.7% β†’ last β…“ avg 18.2%

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

0.23Best rating β€” nuke 13–6
13–3Biggest win β€” nuke
6Longest win streak
6–10In matches decided by ≀2 rounds
12Overtime games

Map breakdown

nukeBest map Β· 64% over 25mirageWeakest map Β· 0% over 6
MapGradePlayedRecordWin rateAvg rating
nukeA2516–964%0.04
ancientB2312–1152%0.01
anubisA149–564%-0.00
cacheC145–936%0.02
infernoA116–555%0.02
dust2C73–443%-0.02
mirageD60–60%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,166Lifetime kills
1.02K/D
2,673Matches
43.7%Match win rate
41.6%Headshot %
0.0%Shot accuracy
5,599MVPs
956Hours (in match)
4,456Bombs planted
782Bombs defused

Most-used weapons

AK-4718,828
M4A4 / M4A1-S10,082
AWP2,633
MP92,390
P2000 / USP-S2,384
Glock-182,203
Desert Eagle1,670
MAC-101,631
Tec-9676
MP7564

Lifetime map wins

5,660nuke
3,182dust2
3,058inferno
1,362vertigo
1,033train
369office
43italy
1ar_baggage

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

Faceit stats

Combat

2Matches
50%Win rate
1.46Avg K/D
64.8ADR
42%Headshot %

Clutches & streaks

0%1v1 clutch win
25%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient10%0.7911.0
Nuke1100%2.1415.0

Faceit-match stats via the FACEIT Data API β€” a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches β€” stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.5%Headshot accuracy
34.8%Accuracy (enemy spotted)
36.0%Spray accuracy
78.7%Counter-strafing
11.3Β°Preaim
637msReaction time
28.4%T opening success
57.0%CT opening success
0.60Enemies flashed / flash
8.4%Flash assists
11.01HE damage / grenade
9.21Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag β€” 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 28.4163% β€” below the 40% mark we flag

Spend your practice time on Mirage

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

0% win rate across 6 tracked games β€” your weakest map with enough games to be worth reading into.

Mirage callouts & strategy β†’Mirage grenade lineups β†’

Recent matches

MapScoreRatingHS%Date
inferno13–90.0416%28 Aug β†’
anubis15–150.0118%28 Aug β†’
cache13–90.0119%28 Aug β†’
nuke13–90.0913%28 Aug β†’
mirage12–16-0.0410%28 Aug β†’
dust210–13-0.0414%27 Aug β†’
cache6–130.0621%27 Aug β†’
nuke5–00.1518%27 Aug β†’
cache8–130.0321%27 Aug β†’
inferno6–13-0.0425%26 Aug β†’
cache13–160.0017%26 Aug β†’
anubis9–130.0211%26 Aug β†’
inferno8–13-0.0424%26 Aug β†’
nuke13–30.0617%26 Aug β†’
nuke13–60.0521%24 Aug β†’
ancient13–10-0.0115%24 Aug β†’
anubis15–15-0.0421%24 Aug β†’
inferno9–130.0719%22 Aug β†’
nuke9–13-0.0614%22 Aug β†’
ancient13–5-0.0118%22 Aug β†’
dust210–13-0.0227%22 Aug β†’
nuke15–150.0317%21 Aug β†’
cache13–50.0428%21 Aug β†’
ancient14–160.0318%20 Aug β†’
cache13–3-0.0117%20 Aug β†’
ancient13–90.0416%20 Aug β†’
cache13–60.019%19 Aug β†’
nuke5–13-0.0512%19 Aug β†’
nuke10–130.0216%19 Aug β†’
ancient13–160.0116%18 Aug β†’
cache11–130.0723%18 Aug β†’
mirage10–13-0.0616%16 Aug β†’
mirage9–130.0134%16 Aug β†’
cache5–130.0642%15 Aug β†’
nuke8–13-0.0510%15 Aug β†’
ancient13–80.0222%15 Aug β†’
anubis11–130.0010%9 Aug β†’
inferno13–50.1125%9 Aug β†’
mirage8–130.0413%8 Aug β†’
ancient13–30.0411%8 Aug β†’
nuke13–60.2318%8 Aug β†’
anubis13–10-0.0316%8 Aug β†’
nuke6–130.0813%8 Aug β†’
ancient13–100.028%7 Aug β†’
inferno16–14-0.0023%7 Aug β†’
cache10–130.008%6 Aug β†’
inferno13–11-0.0116%6 Aug β†’
nuke13–30.0516%6 Aug β†’
anubis13–9-0.0321%5 Aug β†’
inferno13–50.0417%5 Aug β†’
nuke13–30.0418%4 Aug β†’
ancient13–11-0.0013%4 Aug β†’
anubis3–13-0.0714%4 Aug β†’
dust23–13-0.1414%4 Aug β†’
cache7–13-0.0020%2 Aug β†’
dust213–4-0.027%2 Aug β†’
ancient13–80.0617%2 Aug β†’
nuke13–7-0.0112%2 Aug β†’
dust210–130.0021%2 Aug β†’
ancient13–100.0623%2 Aug β†’
nuke10–20.0719%1 Aug β†’
anubis13–100.0816%1 Aug β†’
cache8–130.0019%1 Aug β†’
nuke13–40.0127%1 Aug β†’
nuke10–13-0.0316%31 Jul β†’
anubis13–8-0.0215%31 Jul β†’
ancient11–130.0125%31 Jul β†’
mirage9–130.0218%30 Jul β†’
ancient8–130.0118%30 Jul β†’
anubis13–80.0513%30 Jul β†’
nuke13–70.0125%29 Jul β†’
ancient16–13-0.0116%29 Jul β†’
anubis16–130.0520%28 Jul β†’
cache13–90.0516%28 Jul β†’
anubis13–11-0.0610%28 Jul β†’
ancient4–13-0.0224%27 Jul β†’
nuke16–140.1024%27 Jul β†’
ancient11–130.0116%27 Jul β†’
nuke6–13-0.0612%27 Jul β†’
dust213–80.0015%26 Jul β†’
inferno9–130.0428%26 Jul β†’
inferno11–130.0227%26 Jul β†’
ancient11–13-0.0812%25 Jul β†’
nuke13–110.0616%25 Jul β†’
mirage10–13-0.0314%25 Jul β†’
ancient11–130.0017%25 Jul β†’
inferno13–80.0110%23 Jul β†’
nuke13–60.0814%22 Jul β†’
nuke11–130.0913%21 Jul β†’
anubis13–70.0915%21 Jul β†’
ancient13–100.0414%21 Jul β†’
ancient5–130.0213%20 Jul β†’
ancient13–70.0717%20 Jul β†’
cache8–130.0321%20 Jul β†’
nuke13–100.0814%20 Jul β†’
ancient10–13-0.0922%19 Jul β†’
nuke13–40.1021%19 Jul β†’
dust213–100.0815%19 Jul β†’
ancient14–16-0.0212%18 Jul β†’
anubis13–5-0.038%18 Jul β†’

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone β†’Inventory value for this account β†’Where does this rating sit? Premier rank tiers β†’

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