^^ — CS2 Stats

76561197964381847[U:1:4116119]✓ No bans

855Tracked matches54%Win rate2021Tracked since
2,770Hours in CS9Hrs last 2 wks
CSDB Rating5.8 SolidPassive Rifler
FaceitLevel 3 · 880 ELOTop 90.6% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,149), 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 3 medianLevel 4 medianvs Level 4
Headshot rate74.5%42.2%42.7%above
Shot accuracy15.2%11.9%10.8%above
Kill/death ratio2.030.981.00above
Match win rate60.6%43.6%44.1%above

Across every metric we can compare, this profile already matches the typical Level 4 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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CSDB.GG^^FACEITLevel 3 · 880 ELOSTANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim82
Positioning56
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY56422Last 10056%Win rateWLLWLWLWLW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

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

Aim8.2
Aggression4.3
Utility4.8
Positioning5.6
Opening Duels2.4
Clutch0.0

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 90% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 49% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 554ms 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

Aim8.2
Positioning5.6
Utility4.8
Mechanics8.2
Opening Duels2.4
Win Impact6.2

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time547ms−44ms
first ⅓ avg 591ms → last ⅓ avg 547ms
Headshot accuracy22.1%+0.1%
first ⅓ avg 22.0% → last ⅓ avg 22.1%

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

0.22Best rating — train 13–9
130Biggest win — nuke
7Longest win streak
128In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 63% over 19infernoWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
mirageA1912763%-0.00
nukeA1912763%-0.01
ancientA159660%0.01
infernoC135838%-0.01
anubisB126650%-0.01
overpassA74357%-0.01
trainB63350%0.03
dust2C52340%0.01
cache32167%-0.01
vertigo110100%0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

353,701Lifetime kills
2.03K/D · Top 1% of Level 3 players
2,264Matches
60.6%Match win rate · Top 5% of Level 3 players
74.5%Headshot % · Top 1% of Level 3 players
15.2%Shot accuracy · Top 50% of Level 3 players
18,348MVPs
6,131Hours (in match)
5,827Bombs planted
3,324Bombs defused

Most-used weapons

AK-47197,854
AWP19,960
Glock-1813,073
FAMAS2,994
P2502,430
MP91,422

Lifetime map wins

3,133inferno
2,281nuke
1,093vertigo
922dust2
884train
133aztec
117dust
112office

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

Faceit stats

Combat

16Matches
38%Win rate
0.91Avg K/D
77.2ADR
42%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient20%0.8815.0
Anubis20%0.6310.5
Nuke250%1.0818.0
Inferno1100%0.628.0
Dust21100%1.6725.0

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.

21.8%Headshot accuracy
36.0%Accuracy (enemy spotted)
35.5%Spray accuracy
86.7%Counter-strafing
9.5°Preaim
554msReaction time
30.5%T opening success
48.7%CT opening success
0.48Enemies flashed / flash
5.2%Flash assists
6.12HE damage / grenade
6.99Flashes / 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 0.4831 — 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 30.4917% — 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.

38% 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
ancient13–60.0525%28 Aug
cache8–130.0014%28 Aug
mirage4–13-0.078%28 Aug
anubis13–70.0617%28 Aug
inferno9–13-0.0222%28 Aug
cache12–7-0.0241%1 Aug
anubis9–13-0.0227%1 Aug
mirage13–5-0.0127%1 Aug
nuke11–13-0.0320%18 Jul
nuke8–1-0.080%18 Jul
ancient9–130.0028%18 Jul
inferno0–13-0.0521%18 Jul
inferno13–11-0.0429%3 Jul
ancient13–40.0613%3 Jul
inferno10–130.0519%3 Jul
anubis9–13-0.0424%3 Jul
mirage11–13-0.0421%24 Jun
dust25–13-0.0727%24 Jun
mirage13–90.0321%24 Jun
anubis4–13-0.0614%24 Jun
mirage13–11-0.0614%22 Jun
dust213–70.1216%22 Jun
nuke13–50.0015%18 Jun
inferno1–13-0.1116%18 Jun
mirage13–60.0724%18 Jun
nuke15–150.0218%23 May
ancient13–11-0.0729%23 May
nuke15–15-0.0222%23 May
inferno13–40.1543%16 May
nuke13–80.0426%16 May
train13–90.2235%15 May
nuke1–13-0.1338%2 May
overpass13–60.0419%2 May
ancient13–50.0117%2 May
nuke11–13-0.0610%2 May
mirage13–60.0223%2 May
cache11–7-0.0324%29 Apr
ancient16–140.0023%28 Apr
inferno13–11-0.0245%28 Apr
nuke13–90.0318%25 Apr
anubis16–14-0.0319%25 Apr
anubis13–30.1015%25 Apr
ancient14–16-0.0616%25 Apr
nuke13–00.0013%25 Apr
ancient9–130.0333%3 Apr
anubis13–60.0323%3 Apr
ancient13–30.1118%3 Apr
overpass13–50.0316%3 Apr
ancient7–13-0.0515%3 Apr
inferno7–13-0.0022%30 Mar
nuke13–40.0322%30 Mar
mirage8–130.0419%30 Mar
anubis3–13-0.1113%30 Mar
dust26–130.0328%25 Mar
inferno6–13-0.0422%25 Mar
nuke13–10-0.0621%20 Mar
ancient13–90.0320%20 Mar
overpass7–13-0.0810%20 Mar
nuke13–80.0525%20 Mar
dust210–13-0.0821%14 Mar
mirage13–9-0.0121%14 Mar
anubis11–13-0.0225%14 Mar
vertigo9–20.0812%14 Mar
inferno10–130.0310%4 Mar
anubis8–13-0.0022%4 Mar
nuke13–20.0523%4 Mar
mirage13–10-0.0015%3 Mar
anubis13–10-0.0414%3 Mar
ancient10–13-0.0518%3 Mar
mirage9–130.0338%9 Jan
train13–80.0023%9 Jan
ancient13–30.0329%9 Jan
overpass3–13-0.0424%9 Jan
overpass13–80.0018%9 Jan
dust213–50.0535%9 Jan
mirage7–13-0.0427%9 Jan
train11–13-0.0220%3 Jan
train5–130.0224%27 Dec
nuke11–130.0231%27 Dec
mirage12–160.0127%27 Dec
inferno13–11-0.0221%27 Dec
nuke10–13-0.0514%27 Dec
overpass10–13-0.0115%27 Dec
mirage13–11-0.0413%19 Dec
ancient10–13-0.0129%19 Dec
nuke16–140.0021%19 Dec
nuke13–110.0011%19 Dec
mirage7–13-0.0325%19 Dec
inferno11–13-0.0315%19 Dec
anubis13–110.0624%12 Dec
mirage13–10.0521%12 Dec
nuke13–100.0520%12 Dec
train13–40.0227%10 Dec
mirage13–2-0.0218%10 Dec
ancient13–70.0121%10 Dec
train6–13-0.0618%29 Nov
mirage13–80.0128%29 Nov
inferno13–10-0.0317%29 Nov
overpass13–4-0.0014%29 Nov
mirage13–110.0226%28 Nov

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →