MOWGLI

MOWGLI — CS2 Stats

SE76561198886568512[U:1:926302784]Steam profile ↗✓ No bans

479Tracked matches55%Win rate2021Tracked since
526Hours in CS
CSDB Rating6.8 SolidSupport
CSDB Leaderboard#38150 of 260007 tracked
WingmanGold Nova III
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 23,507 +9,262 31 Mar – 16 May · 23 days played
14,24524,462peak 24,46231 Mar16 May
24,462Peak Premier in tracked matches
33Days played since 2026-03-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim86
Positioning57
Utility61

0–100 skill scores via Leetify.

Recent form

COLD68–27–5Last 10068%Win rateLLLWWLLLLT

Last 10 vs previous 10: −40pp win rate · −0.00 avg rating · −5.9pp headshot accuracy · −20ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 562ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 592ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 602ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.5 against its own average).

Aim8.6
Utility6.1
Positioning5.7
Opening Duels2.8
Clutch3.6

Sharp aimer

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 93% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success.

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 86 — the mechanical foundation is a clear strength.

Areas to improve

Reaction time. 587ms 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

Aim8.6
Positioning5.7
Utility6.1
Mechanics7.7
Opening Duels2.9
Win Impact6.7

Composite 6.8/10 (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 rating0.01−0.05
first ⅓ avg 0.06 → last ⅓ avg 0.01
Reaction time577ms−5ms
first ⅓ avg 582ms → last ⅓ avg 577ms
Headshot accuracy20.6%+0.0%
first ⅓ avg 20.6% → last ⅓ avg 20.6%

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.

Personal bests

0.33Best match rating · 9–0 · inferno, 4 Apr →
40%Best headshot accuracy · 13–2 · inferno, 27 Apr →
359msFastest reaction time · 6–13 · ancient, 20 Apr →
13–2Biggest win · inferno, 27 Apr →

Across the last 100 tracked matches.

Highlights

12Longest win streak
L3Current streak
8–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 100% over 7ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeA1811–761%0.03
infernoS1814–478%0.08
mirageS1711–665%0.04
anubisS1514–193%0.09
dust2S107–370%0.00
cacheS77–0100%0.01
ancientD61–517%0.02
overpassD62–433%0.03
vertigo—31–233%0.03

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.

Lifetime stats

24,922Lifetime kills
0.92K/D
1,876Matches
44.6%Match win rate
41.2%Headshot %
9.5%Shot accuracy
4,345MVPs
526Hours (in match)
1,958Bombs planted
417Bombs defused

Most-used weapons

Lifetime map wins

2,510inferno
1,205nuke
887lake
843dust2
699cbble
436vertigo
380train
30safehouse

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

Faceit stats

Combat

79Matches
43%Win rate
0.78Avg K/D
60.0ADR
41%Headshot %

Clutches & streaks

38%1v1 clutch win
9%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2236%0.7411.2
Anubis1753%0.7712.1
Inferno1631%0.7211.1
Ancient771%0.8612.6
Nuke743%0.7110.6
Dust2520%0.8312.2
Cache250%0.9615.5
Train2100%1.5011.5

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.

20.9%Headshot accuracy
37.8%Accuracy (enemy spotted)
40.4%Spray accuracy
84.6%Counter-strafing
7.6°Preaim
587msReaction time
40.4%T opening success
42.7%CT opening success
0.58Enemies flashed / flash
5.4%Flash assists
9.68HE damage / grenade
12.31Flashes / match

Recommended for you

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 & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke8–13-0.017%4 Nov →
dust214–16-0.0617%4 Nov →
mirage8–13-0.058%4 Nov →
inferno9–20.1622%4 Nov →
anubis13–3-0.0017%28 Oct →
ancient6–13-0.0617%28 Oct →
vertigo7–9-0.0520%28 Oct →
nuke4–13-0.0310%27 Oct →
nuke3–13-0.0721%26 Oct →
inferno8–8-0.0019%26 Oct →
mirage2–13-0.0724%26 Oct →
cache16–12-0.0522%21 Oct →
cache13–8-0.0032%21 Oct →
cache13–9-0.0114%21 Oct →
dust26–13-0.1013%4 Jun →
nuke11–13-0.0131%16 May →
inferno9–50.0519%13 May →
mirage13–50.0825%13 May →
inferno13–6-0.0114%12 May →
overpass10–13-0.0123%12 May →
ancient7–130.1117%11 May →
ancient5–130.0520%11 May →
mirage3–13-0.0024%11 May →
cache13–70.0911%6 May →
cache13–110.045%6 May →
cache13–6-0.0225%4 May →
cache13–60.0219%4 May →
mirage15–150.0330%28 Apr →
anubis13–110.0834%28 Apr →
anubis16–140.1028%27 Apr →
mirage13–110.0726%27 Apr →
inferno13–20.1240%27 Apr →
nuke9–50.0825%27 Apr →
mirage16–130.0221%27 Apr →
nuke13–30.1025%27 Apr →
mirage13–20.059%27 Apr →
nuke16–120.1025%26 Apr →
anubis13–80.0926%25 Apr →
dust213–60.0030%24 Apr →
inferno9–6-0.0330%24 Apr →
inferno15–15-0.0018%23 Apr →
mirage13–30.0323%23 Apr →
anubis11–130.0827%23 Apr →
dust213–30.0635%22 Apr →
nuke11–13-0.0514%22 Apr →
inferno13–60.0412%22 Apr →
dust28–13-0.0229%22 Apr →
inferno9–20.1923%22 Apr →
inferno9–10.0725%22 Apr →
inferno9–30.2318%22 Apr →
anubis13–90.0422%21 Apr →
nuke13–110.0324%21 Apr →
mirage5–130.0924%20 Apr →
ancient6–130.0422%20 Apr →
inferno10–130.0426%20 Apr →
inferno9–10.0222%20 Apr →
mirage13–40.0615%20 Apr →
inferno9–60.0716%20 Apr →
inferno13–90.0418%17 Apr →
overpass9–130.0120%16 Apr →
nuke13–50.0318%16 Apr →
anubis13–40.1633%15 Apr →
nuke13–70.0217%15 Apr →
anubis13–110.0926%14 Apr →
nuke13–100.0617%14 Apr →
vertigo13–50.0214%14 Apr →
nuke13–6-0.0125%12 Apr →
mirage13–9-0.039%12 Apr →
overpass13–30.1834%11 Apr →
overpass8–80.0027%11 Apr →
dust213–70.0821%5 Apr →
overpass13–5-0.0013%5 Apr →
anubis13–40.2029%5 Apr →
dust213–9-0.0333%5 Apr →
inferno13–100.1430%4 Apr →
dust213–50.1112%4 Apr →
inferno9–00.3333%4 Apr →
anubis13–50.1023%4 Apr →
ancient8–13-0.048%4 Apr →
mirage13–20.0515%3 Apr →
nuke13–7-0.0014%3 Apr →
nuke8–130.0322%2 Apr →
anubis13–60.1433%1 Apr →
dust213–11-0.0123%1 Apr →
anubis13–110.1317%1 Apr →
nuke4–130.0127%1 Apr →
mirage13–90.1413%31 Mar →
nuke13–80.0922%31 Mar →
vertigo12–120.1120%31 Mar →
anubis13–70.0514%31 Mar →
mirage13–30.1020%31 Mar →
dust213–90.0030%31 Mar →
ancient13–7-0.019%31 Mar →
nuke13–80.0932%31 Mar →
mirage12–160.0229%31 Mar →
anubis13–80.0720%31 Mar →
anubis16–130.0615%31 Mar →
inferno10–13-0.019%31 Mar →
mirage13–50.0012%31 Mar →
overpass8–13-0.0312%31 Mar →

Match data via Leetify.

Recent teammates

Milestones

100 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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