dLo- — CS2 Stats

76561198361830801[U:1:401565073]

1,607Tracked matches45%Win rate2020Tracked since
4,162Hours in CS16Hrs last 2 wks
CSDB Rating6.5 SolidHybrid Rifler
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGdLo-FACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim90
Positioning53
Utility65

0–100 skill scores via Leetify.

Recent form

COLD50437Last 10050%Win rateLWWLLWLLLT

Last 10 vs previous 10: -40pp win rate · +0.01 avg rating

Player DNA

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

Aim9.0
Aggression4.9
Utility6.5
Positioning5.3
Opening Duels1.9
Clutch6.0

Sharp aimerStrong 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 97% playstyle similarity

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

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

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 48% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 567ms 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

Aim9.0
Positioning5.3
Utility6.5
Mechanics7.9
Opening Duels2.2
Win Impact3.3

Composite 6.5/10 (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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time570ms−45ms
first ⅓ avg 616ms → last ⅓ avg 570ms
Headshot accuracy18.7%−1.6%
first ⅓ avg 20.3% → last ⅓ avg 18.7%

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

0.18Best rating — train 13–4
132Biggest win — train
4Longest win streak
65In matches decided by ≤2 rounds
1Overtime games

Map breakdown

vertigoBest map · 80% over 5infernoWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
cacheB40182245%0.02
mirageA149564%0.00
nukeB137654%0.01
infernoD124833%-0.01
trainS96367%0.02
vertigoS54180%0.03
office42250%0.04
overpass3030%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

111,504Lifetime kills
1.12K/D · Top 50% of tracked players
5,268Matches
47.6%Match win rate · Top 50% of tracked players
40.0%Headshot %
16.5%Shot accuracy · Top 25% of tracked players
15,184MVPs
2,434Hours (in match)
6,418Bombs planted
2,172Bombs defused

Most-used weapons

AK-4745,047
AWP9,055
MP92,434
SG 5532,077
MAC-101,782
Knife1,769

Lifetime map wins

8,240inferno
5,272vertigo
4,934nuke
4,391dust2
3,959train
935cbble
664office
85italy

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

Faceit stats

Combat

275Matches
54%Win rate
1.08Avg K/D
92.5ADR
33%Headshot %

Clutches & streaks

50%1v1 clutch win
25%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis250%0.8813.0
Mirage250%1.1925.0
Inferno1100%2.1726.0
Nuke1100%3.0021.0

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.

18.7%Headshot accuracy
41.5%Accuracy (enemy spotted)
51.0%Spray accuracy
85.8%Counter-strafing
9.7°Preaim
567msReaction time
27.2%T opening success
47.8%CT opening success
0.69Enemies flashed / flash
8.8%Flash assists
12.21HE damage / grenade
12.39Flashes / 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 27.219% — 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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
train6–13-0.0122%28 Aug
mirage13–100.1216%25 Aug
cache13–10-0.0037%25 Aug
nuke9–130.0231%25 Aug
inferno5–13-0.038%24 Aug
cache13–60.0619%24 Aug
nuke3–13-0.0411%23 Aug
cache7–13-0.027%23 Aug
vertigo8–130.009%23 Aug
cache12–120.0215%22 Aug
mirage0–13-0.0617%22 Aug
train9–4-0.0520%22 Aug
train13–20.0616%22 Aug
mirage13–3-0.0511%22 Aug
nuke13–100.1424%22 Aug
cache4–13-0.0210%21 Aug
nuke13–2-0.0717%21 Aug
cache6–130.0030%19 Aug
vertigo13–90.0617%19 Aug
nuke13–60.0132%19 Aug
cache5–130.0822%19 Aug
cache9–130.0116%19 Aug
inferno3–13-0.0812%17 Aug
cache8–130.0615%16 Aug
inferno13–50.0124%16 Aug
cache8–13-0.0219%15 Aug
mirage13–40.0013%15 Aug
overpass6–13-0.0121%15 Aug
mirage7–13-0.0020%15 Aug
cache13–50.0422%11 Aug
vertigo13–80.0920%10 Aug
mirage13–9-0.0029%7 Aug
inferno15–150.0416%6 Aug
nuke3–130.0516%6 Aug
overpass10–130.0812%31 Jul
overpass12–12-0.0219%30 Jul
cache8–2-0.0719%30 Jul
cache13–100.0812%26 Jul
mirage13–80.0121%26 Jul
nuke13–7-0.0014%26 Jul
mirage8–13-0.0313%24 Jul
mirage13–100.0116%22 Jul
cache9–130.0915%22 Jul
cache10–13-0.0417%21 Jul
nuke4–13-0.0323%21 Jul
train13–90.0531%20 Jul
cache13–9-0.0118%16 Jul
inferno13–60.0319%14 Jul
nuke11–130.0119%8 Jun
cache5–13-0.048%24 May
mirage13–100.0919%22 May
inferno13–90.047%22 May
cache13–60.0117%22 May
nuke13–6-0.0224%19 May
inferno8–130.0114%19 May
office13–80.0138%18 May
cache13–40.1014%18 May
cache12–120.0319%17 May
cache13–5-0.0018%17 May
cache11–130.0021%14 May
office6–130.0323%14 May
cache10–130.0535%11 May
cache13–70.0419%11 May
cache13–100.0125%9 May
cache12–120.1133%9 May
cache13–100.1321%9 May
mirage11–130.0225%8 May
cache13–110.0111%8 May
cache10–13-0.0130%7 May
cache13–11-0.0017%7 May
cache12–120.0610%7 May
cache13–40.0929%6 May
cache13–30.0429%6 May
cache10–130.0120%6 May
cache13–60.0323%3 May
cache13–110.1024%3 May
cache11–13-0.0415%2 May
cache11–13-0.0714%30 Apr
cache9–13-0.0611%29 Apr
cache7–130.0418%29 Apr
inferno8–13-0.055%27 Apr
train13–5-0.0421%26 Apr
mirage13–11-0.0610%23 Apr
train13–50.0823%23 Apr
train12–12-0.0317%22 Apr
train7–13-0.0847%17 Apr
nuke13–90.0219%17 Apr
nuke10–130.0419%16 Apr
inferno4–13-0.059%16 Apr
nuke13–80.0222%14 Apr
mirage13–11-0.0214%14 Apr
office13–40.1622%11 Apr
mirage7–130.0515%11 Apr
office7–13-0.0256%11 Apr
train13–40.1813%11 Apr
inferno9–130.0136%10 Apr
inferno8–13-0.0818%9 Apr
vertigo13–90.0418%9 Apr
vertigo13–11-0.0218%9 Apr
inferno13–70.0119%6 Apr

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 →