1000-7

1000-7 — CS2 Stats

76561199333100753[U:1:1372835025]Steam profile ↗✓ No bans

1,518Tracked matches44%Win rate2023Tracked since
CSDB Rating5.5 Solid
Premier CS Rating16,098Purple band · top ~24% of ranked players (population est.)
CSDB Leaderboard#32478 of 57963 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG1000-7FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER16,098 · Purple bandcsdb.gg/stats

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Performance scores

Aim59
Positioning61
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY44506Last 10044%Win rateWLTLWLLWWW

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

Aim5.9
Aggression8.8
Utility5.9
Positioning6.1
Opening Duels3.7
Clutch2.6

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

device

Plays most like device 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

Reaction time. 644ms 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
Positioning6.1
Utility5.9
Mechanics6.5
Opening Duels3.7
Win Impact3.1

Composite 5.5/10 (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 rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time652ms−23ms
first ⅓ avg 675ms → last ⅓ avg 652ms
Headshot accuracy24.6%+7.4%
first ⅓ avg 17.2% → last ⅓ avg 24.6%

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 — dust2 4–1
132Biggest win — ancient
5Longest win streak
412In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 50% over 22infernoWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C32131941%-0.00
mirageB22111150%0.00
ancientB147750%-0.00
infernoD93633%0.02
cacheD93633%-0.01
nukeB84450%0.01
anubis41325%0.02
train220100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

69Matches
58%Win rate
0.88Avg K/D
73.2ADR
50%Headshot %

Clutches & streaks

33%1v1 clutch win
13%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2357%0.9514.0
Dust21644%0.7612.3
Anubis1173%0.9014.3
Inferno667%0.9816.2
Ancient425%0.9315.0
Vertigo475%0.8914.3
Overpass367%0.7711.7
Nuke1100%0.8214.0

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.

22.9%Headshot accuracy
30.5%Accuracy (enemy spotted)
30.1%Spray accuracy
79.1%Counter-strafing
9.8°Preaim
644msReaction time
47.4%T opening success
42.0%CT opening success
0.58Enemies flashed / flash
5.4%Flash assists
8.65HE damage / grenade
12.30Flashes / match

Recommended for you

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 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–110.0333%29 Aug
dust25–13-0.0535%29 Aug
inferno12–120.1020%29 Aug
mirage4–130.0110%29 Aug
mirage13–6-0.0019%29 Aug
nuke4–13-0.0125%28 Aug
cache1–13-0.0512%28 Aug
ancient13–7-0.0015%25 Aug
mirage13–9-0.0017%25 Aug
ancient13–70.0524%24 Aug
mirage13–11-0.0521%24 Aug
dust24–10.1138%24 Aug
nuke10–13-0.0127%24 Aug
nuke9–130.0123%22 Aug
inferno13–9-0.0027%22 Aug
dust20–2-0.0350%22 Aug
inferno9–130.0117%22 Aug
inferno4–130.0422%21 Aug
mirage13–100.0526%18 Aug
dust28–13-0.0323%18 Aug
dust213–30.0116%18 Aug
mirage5–13-0.0113%17 Aug
ancient13–30.0127%16 Aug
dust212–120.0532%16 Aug
inferno11–130.0436%15 Aug
dust212–12-0.0825%15 Aug
cache9–130.0222%15 Aug
dust213–30.0324%14 Aug
dust210–13-0.0415%14 Aug
inferno10–13-0.0520%14 Aug
mirage6–13-0.0714%14 Aug
train13–30.0050%14 Aug
train13–90.0432%12 Aug
inferno4–130.0421%11 Aug
anubis12–120.0116%11 Aug
nuke13–110.0523%11 Aug
cache13–11-0.0213%11 Aug
anubis10–13-0.0117%11 Aug
inferno13–100.0124%11 Aug
cache3–130.0126%10 Aug
mirage12–120.0019%9 Aug
dust213–8-0.0322%9 Aug
dust211–13-0.0112%8 Aug
dust213–60.018%8 Aug
cache5–13-0.0335%7 Aug
ancient7–13-0.0215%7 Aug
ancient5–13-0.0715%7 Aug
cache13–50.1024%7 Aug
nuke13–50.0516%7 Aug
dust24–130.0123%7 Aug
ancient8–130.0017%7 Aug
cache6–13-0.0529%7 Aug
anubis13–40.0419%7 Aug
nuke13–10-0.0314%7 Aug
mirage13–3-0.0018%7 Aug
dust210–130.0122%6 Aug
dust213–70.0113%6 Aug
anubis11–130.0520%6 Aug
dust213–50.0627%5 Aug
ancient14–160.0216%5 Aug
mirage10–13-0.0525%5 Aug
dust29–13-0.0613%5 Aug
dust213–9-0.0323%5 Aug
mirage11–13-0.0420%5 Aug
mirage6–13-0.0316%5 Aug
ancient4–13-0.0119%4 Aug
cache11–13-0.0318%4 Aug
dust24–13-0.016%4 Aug
ancient13–2-0.094%4 Aug
mirage11–13-0.026%4 Aug
mirage7–30.0711%4 Aug
ancient7–130.0819%4 Aug
mirage6–13-0.0314%4 Aug
dust213–40.0627%4 Aug
dust24–13-0.0223%4 Aug
dust214–160.0223%3 Aug
mirage13–70.0820%3 Aug
ancient13–10-0.0114%3 Aug
inferno13–5-0.0220%3 Aug
dust28–130.0225%3 Aug
dust213–10-0.025%3 Aug
ancient12–16-0.0114%3 Aug
mirage13–80.0717%3 Aug
mirage13–50.0419%3 Aug
mirage13–70.0216%2 Aug
dust213–80.0015%2 Aug
mirage11–130.0612%2 Aug
dust23–13-0.1028%2 Aug
dust25–13-0.0324%2 Aug
dust23–13-0.0817%2 Aug
ancient16–12-0.0517%2 Aug
nuke11–130.0025%2 Aug
mirage16–130.0112%1 Aug
dust29–130.0522%1 Aug
ancient13–70.0427%1 Aug
dust215–150.0217%31 Jul
cache13–9-0.0120%31 Jul
mirage11–13-0.0215%31 Jul
dust213–100.0512%31 Jul
dust213–70.0621%31 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 →