Dime

Dime — CS2 Stats

76561198046178304[U:1:85912576]Steam profile ↗

2,470Tracked matches50%Win rate2020Tracked since
CSDB Rating5.6 SolidPassive Rifler
Premier CS Rating22,423Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.8% of ranked players (population est.)
CSDB Leaderboard#7848 of 28850 tracked
FaceitLevel 9 · 1,509 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGDimeFACEITLevel 9 · 1,509 ELOSTANDINGTop 20.7% of rankedPREMIER22,423 · Pink bandcsdb.gg/stats

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Performance scores

Aim74
Positioning41
Utility46

0–100 skill scores via Leetify.

Recent form

HOT5446Last 10054%Win rateLWWWLWWLWW

Last 10 vs previous 10: +40pp win rate · -0.02 avg rating

Player DNA

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

Aim7.4
Aggression3.4
Utility4.6
Positioning4.1
Opening Duels0.7
Clutch3.6

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 83% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower aim profile; lower positioning 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

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

Reaction time. 576ms 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

Aim7.4
Positioning4.1
Utility4.6
Mechanics7.7
Opening Duels1.0
Win Impact5.0

Composite 5.6/10 (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 rating-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time583ms−20ms
first ⅓ avg 602ms → last ⅓ avg 583ms
Headshot accuracy18.8%+0.7%
first ⅓ avg 18.1% → last ⅓ avg 18.8%

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 — vertigo 13–7
132Biggest win — dust2
5Longest win streak
104In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 71% over 21ancientWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B29131645%-0.01
mirageS2115671%0.00
anubisB158753%0.00
ancientC73443%-0.02
infernoC73443%-0.01
cacheA74357%-0.01
vertigoA53260%0.08
nuke43175%0.01
train21150%0.07
overpass2020%-0.01
office110100%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

849Matches
51%Win rate
1.06Avg K/D
76.6ADR
48%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
16Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust217847%0.9914.8
Mirage15750%0.9614.8
Anubis8659%1.1215.9
Ancient7657%1.0515.2
Inferno5652%0.9114.4
Nuke3746%1.0416.1
Vertigo3053%1.3618.2
Train1547%1.1515.3

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.

18.8%Headshot accuracy
33.5%Accuracy (enemy spotted)
39.7%Spray accuracy
84.6%Counter-strafing
10.3°Preaim
576msReaction time
27.5%T opening success
37.8%CT opening success
0.54Enemies flashed / flash
9.3%Flash assists
9.23HE damage / grenade
5.62Flashes / 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 27.5% — 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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis5–13-0.0217%29 Aug
anubis13–7-0.0121%20 Aug
mirage13–10-0.0417%20 Aug
ancient13–4-0.0113%18 Aug
dust22–13-0.069%18 Aug
office13–110.0419%15 Aug
vertigo13–70.0214%9 Aug
dust29–13-0.0922%9 Aug
dust213–100.0424%7 Aug
ancient13–11-0.0120%6 Aug
dust213–70.118%6 Aug
ancient3–13-0.0515%6 Aug
mirage8–13-0.0319%5 Aug
anubis13–11-0.018%4 Aug
anubis10–13-0.0122%4 Aug
dust22–13-0.0426%3 Aug
inferno8–130.0520%3 Aug
nuke13–40.0323%3 Aug
train6–130.0629%3 Aug
dust27–13-0.0213%2 Aug
mirage4–13-0.0215%1 Aug
inferno9–13-0.0514%1 Aug
inferno13–5-0.0127%1 Aug
ancient11–130.0028%1 Aug
mirage11–13-0.0214%1 Aug
dust213–90.0230%1 Aug
dust26–13-0.0324%28 Jul
nuke13–10-0.0210%28 Jul
mirage13–10-0.0521%28 Jul
mirage13–3-0.0322%28 Jul
dust211–13-0.0213%28 Jul
dust28–130.0021%28 Jul
cache13–110.0522%25 Jul
mirage13–7-0.0416%25 Jul
mirage13–50.1017%22 Jul
anubis13–5-0.0410%22 Jul
dust29–13-0.0124%20 Jul
anubis13–10-0.0116%20 Jul
dust213–80.0213%20 Jul
anubis6–13-0.0220%20 Jul
mirage13–80.0034%20 Jul
dust213–100.0020%18 Jul
anubis8–13-0.0113%18 Jul
mirage13–10-0.0325%18 Jul
mirage13–50.0314%14 Jul
dust213–7-0.0020%12 Jul
mirage7–130.0323%12 Jul
cache9–13-0.0227%12 Jul
dust213–8-0.0218%11 Jul
dust213–10-0.0122%11 Jul
dust27–13-0.0620%10 Jul
dust213–8-0.0220%10 Jul
ancient13–6-0.0010%25 Jun
mirage13–11-0.0125%21 Jun
dust210–13-0.0529%21 Jun
cache9–130.0432%20 Jun
inferno13–80.0616%20 Jun
vertigo4–130.0423%20 Jun
mirage13–70.0717%19 Jun
dust213–7-0.0212%19 Jun
anubis5–13-0.0111%19 Jun
mirage9–130.0115%5 Jun
dust213–20.0116%5 Jun
anubis13–6-0.0017%5 Jun
inferno4–13-0.0423%5 Jun
mirage13–40.1133%4 Jun
mirage13–4-0.0224%3 Jun
dust213–40.0817%3 Jun
dust214–16-0.0618%2 Jun
ancient5–130.0318%2 Jun
nuke13–70.0515%1 Jun
dust23–13-0.088%31 May
overpass6–130.0213%30 May
inferno9–13-0.0113%29 May
mirage8–13-0.0315%29 May
inferno13–11-0.0728%27 May
dust26–13-0.0325%27 May
cache16–14-0.0517%26 May
anubis9–130.1016%26 May
overpass8–13-0.0428%26 May
anubis13–8-0.0417%25 May
anubis16–140.0315%25 May
dust23–13-0.0521%25 May
vertigo13–70.1515%24 May
train13–110.0719%24 May
dust213–70.1323%22 May
vertigo13–110.0919%21 May
vertigo7–130.0919%21 May
anubis13–100.0715%20 May
nuke6–13-0.0223%19 May
dust24–13-0.0528%19 May
ancient2–13-0.086%19 May
anubis2–13-0.0222%19 May
cache6–13-0.0228%17 May
mirage13–80.0018%17 May
mirage13–70.0223%17 May
cache13–7-0.0216%17 May
cache13–8-0.0515%16 May
mirage13–80.0311%16 May
dust24–13-0.0117%16 May

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 →