DIEMA — CS2 Stats

76561198118582486[U:1:158316758]✓ No bans

1,669Tracked matches41%Win rate2020Tracked since
3,730Hours in CS
CSDB Rating4.9 DevelopingHybrid Rifler
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 playerLevel 10 medianvs Level 10
Headshot rate58.5%52.8%above
Shot accuracy10.7%13.7%3.0% short
Kill/death ratio1.231.08above
Match win rate46.3%49.2%2.9% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDIEMAFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim67
Positioning48
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY46522Last 10046%Win rateWLWWWLLTWL

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

Player DNA

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

Aim6.7
Aggression4.9
Utility3.8
Positioning4.8
Opening Duels1.3
Clutch3.0

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

NiKo

Plays most like NiKo 86% playstyle similarity

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

Where you differ: lower utility contribution; 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 48% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 581ms 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

Aim6.7
Positioning4.8
Utility3.8
Mechanics6.0
Opening Duels2.2
Win Impact2.1

Composite 4.9/10 (Developing), 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 rating-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time578ms+28ms
first ⅓ avg 549ms → last ⅓ avg 578ms
Headshot accuracy21.5%+3.4%
first ⅓ avg 18.1% → last ⅓ avg 21.5%

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 — inferno 9–6
131Biggest win — dust2
4Longest win streak
810In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 55% over 11infernoWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB34181653%-0.01
dust2C1771041%0.00
ancientC1771041%0.01
infernoD134931%0.02
anubisA116555%0.02
cache42250%0.04
nuke31233%0.06
overpass110100%0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

139,545Lifetime kills
1.23K/D · Top 25% of tracked players
5,061Matches
46.3%Match win rate
58.5%Headshot % · Top 25% of tracked players
10.7%Shot accuracy
21,102MVPs
3,730Hours (in match)
1,706Bombs planted
1,945Bombs defused

Most-used weapons

AK-4763,604
AWP15,468
SSG 082,701
Knife2,216
MP91,817
P901,409

Lifetime map wins

7,513dust2
6,579inferno
1,944office
1,798nuke
1,099cbble
1,041vertigo
729train
126lake

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

Faceit stats

Combat

598Matches
52%Win rate
1.03Avg K/D
79.9ADR
52%Headshot %

Clutches & streaks

35%1v1 clutch win
24%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage18254%1.0014.8
Dust210849%1.1016.4
Anubis9956%1.0215.6
Ancient7650%1.0216.1
Nuke5954%1.0415.2
Inferno4050%1.0015.4
Overpass1656%1.0416.6
Train333%0.7614.3

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.

21.5%Headshot accuracy
32.0%Accuracy (enemy spotted)
33.6%Spray accuracy
76.9%Counter-strafing
9.5°Preaim
581msReaction time
22.4%T opening success
47.8%CT opening success
0.48Enemies flashed / flash
7.3%Flash assists
4.53HE damage / grenade
5.92Flashes / 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 0.4841 — 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 22.3524% — below the 40% mark we flag

Spend your practice time on Inferno

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–40.1223%2 Aug
dust26–130.0430%2 Aug
mirage13–70.0731%1 Aug
inferno9–70.1332%22 Jun
mirage13–11-0.0032%19 May
dust22–13-0.150%18 May
mirage14–160.0023%14 May
anubis15–15-0.0115%14 May
mirage13–10-0.0424%14 May
mirage2–13-0.0326%14 May
mirage6–13-0.0231%6 May
mirage13–6-0.0416%6 May
ancient10–13-0.0426%5 May
ancient7–13-0.0423%4 May
mirage13–30.0121%30 Apr
cache11–13-0.0325%29 Apr
cache13–110.0416%28 Apr
cache9–130.0724%28 Apr
cache9–20.0611%28 Apr
dust214–160.0121%28 Apr
mirage10–13-0.0424%28 Apr
anubis8–13-0.0611%27 Apr
mirage13–10-0.0223%26 Apr
mirage13–11-0.0414%25 Apr
mirage13–60.0220%24 Apr
mirage1–13-0.0621%24 Apr
dust213–90.0216%23 Apr
mirage1–13-0.0416%22 Apr
nuke7–13-0.0017%21 Apr
ancient10–13-0.0125%20 Apr
dust216–190.0127%20 Apr
mirage13–9-0.0121%18 Apr
anubis8–130.0024%17 Apr
inferno1–9-0.1216%16 Apr
ancient16–130.0619%16 Apr
dust210–13-0.0023%15 Apr
ancient10–13-0.0044%15 Apr
mirage8–13-0.0412%14 Apr
ancient8–13-0.0415%13 Apr
mirage11–130.0315%12 Apr
dust27–130.1324%11 Apr
overpass13–50.0827%11 Apr
dust213–10.0823%10 Apr
ancient13–90.0020%9 Apr
mirage7–13-0.0423%9 Apr
anubis13–90.0115%7 Apr
mirage13–100.0818%6 Apr
mirage16–12-0.0415%6 Apr
ancient13–70.0817%4 Apr
inferno17–19-0.0022%4 Apr
dust213–90.0430%4 Apr
inferno11–130.0127%3 Apr
mirage8–13-0.0415%3 Apr
mirage7–13-0.0316%3 Apr
anubis5–13-0.0423%3 Apr
mirage13–90.0214%1 Apr
mirage13–10-0.0227%31 Mar
mirage13–10-0.0217%30 Mar
ancient10–130.0227%30 Mar
inferno9–60.1743%30 Mar
inferno9–60.1425%30 Mar
mirage10–130.0833%30 Mar
inferno9–70.0924%30 Mar
nuke9–60.1618%29 Mar
dust213–110.0228%28 Mar
mirage11–13-0.0213%27 Mar
ancient14–160.0121%27 Mar
dust213–100.0121%27 Mar
ancient6–130.0221%26 Mar
dust29–130.0019%26 Mar
ancient13–50.1019%26 Mar
inferno5–9-0.0119%26 Mar
ancient13–8-0.0013%25 Mar
dust24–13-0.0322%25 Mar
mirage13–80.0918%24 Mar
dust27–13-0.0417%24 Mar
mirage13–9-0.0418%22 Mar
mirage15–15-0.0716%22 Mar
mirage8–13-0.0524%22 Mar
inferno11–130.0318%20 Mar
inferno11–13-0.044%20 Mar
ancient13–50.0518%20 Mar
dust216–140.0023%20 Mar
anubis13–7-0.0119%19 Mar
nuke9–130.0313%19 Mar
ancient5–13-0.0628%19 Mar
anubis13–50.0525%19 Mar
inferno4–13-0.050%19 Mar
mirage13–110.0714%19 Mar
mirage13–80.0118%19 Mar
anubis13–90.0215%19 Mar
ancient13–10-0.0019%19 Mar
inferno7–13-0.0327%19 Mar
anubis13–90.1016%19 Mar
dust213–9-0.0231%18 Mar
mirage8–13-0.015%18 Mar
dust23–13-0.0626%18 Mar
ancient5–13-0.0122%18 Mar
inferno7–13-0.0513%17 Mar
anubis7–13-0.0116%17 Mar

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 →