mowgli

mowgli — CS2 Stats

76561199031724588[U:1:1071458860]Steam profile ↗✓ No bans

1,413Tracked matches47%Win rate2020Tracked since
CSDB Rating5.3 DevelopingPassive Rifler
Premier CS Rating15,732Purple band · top ~25.5% of ranked players (population est.)
CSDB Leaderboard#20511 of 34606 tracked
WingmanGold Nova III
Ladder ranks via Leetify

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CSDB.GGmowgliPREMIER15,732 · Purple bandcsdb.gg/stats

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Performance scores

Aim66
Positioning45
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY44524Last 10044%Win rateLLLWWLWWLL

Last 10 vs previous 10: -10pp win rate · +0.03 avg rating

Player DNA

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

Aim6.6
Aggression3.8
Utility5.3
Positioning4.5
Opening Duels0.4
Clutch3.6

Limited utility dependence

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 84% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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. 659ms 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

Aim6.6
Positioning4.5
Utility5.3
Mechanics7.8
Opening Duels0.7
Win Impact3.9

Composite 5.3/10 (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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time676ms+36ms
first ⅓ avg 641ms → last ⅓ avg 676ms
Headshot accuracy13.0%+0.5%
first ⅓ avg 12.5% → last ⅓ avg 13.0%

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

0.09Best rating — dust2 13–6
133Biggest win — mirage
3Longest win streak
L3Current streak
712In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 80% over 5ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2D3292328%-0.01
infernoA23131057%-0.01
mirageC167944%-0.03
anubisB105550%-0.02
ancientD61517%-0.03
nukeS54180%-0.01
cache330100%0.01
office21150%0.01
alpine1010%-0.08
warden110100%0.08
overpass1010%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

309Matches
52%Win rate
0.92Avg K/D
75.1ADR
41%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Dust210056%0.9614.9
Mirage7250%0.9414.2
Inferno5946%0.9414.4
Anubis2658%0.9013.6
Ancient2560%0.8313.2
Nuke2236%0.8614.7
Vertigo250%0.6713.0
Overpass10%0.406.0

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.

12.4%Headshot accuracy
36.9%Accuracy (enemy spotted)
36.3%Spray accuracy
85.0%Counter-strafing
8.8°Preaim
659msReaction time
27.4%T opening success
35.8%CT opening success
0.59Enemies flashed / flash
8.9%Flash assists
13.89HE damage / grenade
3.49Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.3524% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.4943 — below the 4 mark we flag

    Grenade Lineups
  3. 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 27.3518% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust20–5-0.0119%29 Aug
anubis9–13-0.045%26 Aug
mirage1–13-0.088%26 Aug
mirage13–90.0815%26 Aug
dust213–110.0212%26 Aug
anubis9–13-0.0412%26 Aug
inferno13–70.0914%25 Aug
dust213–9-0.0014%23 Aug
dust22–130.0622%23 Aug
dust213–16-0.0516%18 Aug
cache13–90.0619%18 Aug
mirage9–13-0.0813%18 Aug
nuke13–5-0.0111%12 Aug
mirage11–13-0.0110%10 Aug
dust25–13-0.0624%10 Aug
ancient8–130.0014%10 Aug
anubis13–10-0.0011%10 Aug
dust211–13-0.0410%5 Aug
mirage6–0-0.1114%5 Aug
anubis13–8-0.038%5 Aug
dust25–13-0.0611%5 Aug
nuke9–3-0.0413%31 Jul
nuke9–40.0123%31 Jul
dust214–16-0.0110%28 Jul
inferno13–40.008%28 Jul
inferno13–10-0.0314%16 Jul
inferno11–130.0115%15 Jul
nuke13–9-0.036%15 Jul
mirage4–13-0.0813%13 Jul
mirage13–90.0310%13 Jul
inferno13–110.0118%13 Jul
nuke11–13-0.016%12 Jul
inferno13–100.0314%12 Jul
ancient7–130.019%11 Jul
dust29–13-0.0213%11 Jul
dust213–6-0.0221%10 Jul
anubis11–13-0.035%10 Jul
cache13–8-0.0415%9 Jul
dust213–10-0.0410%7 Jul
mirage7–13-0.0120%7 Jul
dust28–13-0.0810%5 Jul
inferno8–13-0.089%5 Jul
mirage10–4-0.0717%2 Jul
dust24–13-0.0114%2 Jul
cache13–100.0111%29 May
mirage13–30.008%28 May
inferno3–13-0.0620%27 May
inferno15–150.0417%25 May
dust26–130.0321%19 May
anubis14–160.0013%19 May
dust210–13-0.0415%19 May
dust22–13-0.0615%8 May
dust29–13-0.027%7 May
ancient10–13-0.0413%7 May
inferno13–90.039%2 May
ancient13–11-0.063%25 Apr
dust25–130.0515%25 Apr
dust211–130.0217%24 Apr
dust213–60.0915%24 Apr
anubis16–14-0.0212%22 Apr
dust28–130.0113%20 Apr
inferno0–13-0.059%17 Apr
dust215–15-0.0120%17 Apr
ancient8–13-0.0011%15 Apr
inferno9–40.0313%14 Apr
inferno8–80.0414%14 Apr
dust213–40.0424%14 Apr
ancient5–13-0.0715%9 Apr
inferno9–13-0.0316%9 Apr
mirage9–13-0.019%9 Apr
inferno6–130.0025%8 Apr
dust213–90.0513%8 Apr
anubis13–90.0111%8 Apr
mirage3–13-0.0521%7 Apr
mirage5–130.0013%5 Apr
dust213–8-0.058%5 Apr
inferno7–13-0.108%3 Apr
inferno13–11-0.0417%2 Apr
inferno11–130.0514%2 Apr
dust26–13-0.0513%30 Mar
anubis13–9-0.0010%30 Mar
mirage8–3-0.0214%30 Mar
alpine11–13-0.089%30 Mar
warden13–100.087%30 Mar
office13–110.049%21 Mar
inferno13–8-0.0111%21 Mar
mirage5–13-0.0919%20 Mar
inferno13–8-0.0313%20 Mar
office8–13-0.0216%19 Mar
inferno9–2-0.0916%19 Mar
dust213–60.0017%19 Mar
anubis3–13-0.096%17 Mar
dust211–13-0.019%16 Mar
mirage16–140.0317%16 Mar
dust26–13-0.0611%16 Mar
inferno13–10-0.0110%16 Mar
overpass3–13-0.055%16 Mar
dust215–15-0.0110%13 Mar
inferno13–90.019%11 Mar
dust214–16-0.089%11 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 →