.#SchumiLove๐Ÿ’—

.#SchumiLove๐Ÿ’— โ€” CS2 Stats

DE76561198026475697[U:1:66209969]Steam profile โ†—โœ“ No bans

2,023Tracked matches36%Win rate2022Tracked since
3,313Hours in CS9Hrs last 2 wks
CSDB Rating5.7 SolidSupport
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (23 days ago). Ranks are recorded once per day this page is viewed.

+33Tracked matches ยท now 2,023
โˆ’17.9ppWin rate ยท 53.6% โ†’ 35.7%

Rating over time

30Days played since 2026-07-10

Premier is CSDBโ€™s own observation โ€” it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches53โ€”โ€”
Win rate36%โ€”โ€”
K/D0.84โ€”โ€”
Headshot %45%โ€”โ€”

Measured 6 Sep 2026 โ†’ 10 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile โ€” every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=13,998), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here โ€” those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate38.0%42.7%43.7%5.8% short
Shot accuracy10.8%11.3%12.0%1.2% short
Kill/death ratio0.950.991.020.07 short
Match win rate41.4%43.9%44.7%3.3% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms โ€” not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG.#SchumiLove๐Ÿ’—FACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere โ€” it is generated in your browser when you click.

Performance scores

Aim69
Positioning59
Utility61

0โ€“100 skill scores via Leetify.

Recent form

COLD40โ€“53โ€“7Last 10040%Win rateLLLLLLWLWW

Last 10 vs previous 10: +10pp win rate ยท +0.00 avg rating ยท โˆ’5.0pp headshot accuracy ยท โˆ’34ms reaction

Win rate +10pp across the last 10 against the 10 before โ€” within the normal variation of a 10-match window (ยฑ20pp), so no real shift yet.

Last 5 ยท 10 ยท 20 matches

Last 5

  • 0โ€“5 ยท 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 536ms

Last 10

  • 3โ€“7 ยท 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 576ms

Last 20

  • 5โ€“14โ€“1 ยท 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 593ms

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

Player DNA

Primary style: Support โ€” Utility contribution stands above the rest of this profile (+2.1 against its own average).

Aim6.9
Utility6.1
Positioning5.9
Opening Duels2.9
Clutch1.0

Style profile from tracked-match aggregates โ€” 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 โ€” 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 84% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions โ€” it says how you play, not that you play at their level. Full comparison โ†’

Strengths & areas to improve

Areas to improve

CT openings. Opening success drops from 59% on T to 42% on CT โ€” first contacts on the defending side are being lost.

Reaction time. 581ms from enemy-visible to first shot leaves fights decided before they start โ€” warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers โ€” no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim6.9
Positioning5.9
Utility6.1
Mechanics6.8
Opening Duels5.1
Win Impact0.2

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (ร—1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first โ…“ avg -0.01 โ†’ last โ…“ avg -0.01
Reaction time584msโˆ’94ms
first โ…“ avg 678ms โ†’ last โ…“ avg 584ms
Headshot accuracy19.6%+3.2%
first โ…“ avg 16.4% โ†’ last โ…“ avg 19.6%

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

0.15Best match rating ยท 3โ€“0 ยท anubis, 22 Sept โ†’
67%Best headshot accuracy ยท 3โ€“0 ยท anubis, 22 Sept โ†’
438msFastest reaction time ยท 13โ€“1 ยท dust2, 26 Aug โ†’
13โ€“0Biggest win ยท vertigo, 18 Jul โ†’

Across the last 100 tracked matches.

Highlights

4Longest win streak
L6Current streak
5โ€“5In matches decided by โ‰ค2 rounds
2Overtime games

Map breakdown

mirageBest map ยท 60% over 5boulderWeakest map ยท 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C2810โ€“1836%-0.02
cacheC156โ€“940%-0.01
infernoD144โ€“1029%-0.02
anubisC83โ€“538%0.02
nukeB84โ€“450%-0.00
mirageA53โ€“260%-0.03
boulderD51โ€“420%-0.01
vertigoโ€”42โ€“250%-0.06
ancientโ€”21โ€“150%-0.02
italyโ€”22โ€“0100%-0.03
overpassโ€”21โ€“150%0.01
trainโ€”20โ€“20%-0.04
poseidonโ€”21โ€“150%-0.09
fachwerkโ€”21โ€“150%0.04
eldoradoโ€”11โ€“0100%0.09

Across the last 100 tracked matches.

Lifetime stats

75,339Lifetime kills
0.95K/D
4,676Matches
41.4%Match win rate
38.0%Headshot %
10.8%Shot accuracy
8,821MVPs
1,841Hours (in match)
4,850Bombs planted
851Bombs defused

Most-used weapons

Lifetime map wins

8,811dust2
8,228inferno
3,430nuke
1,060vertigo
929train
724office
414cbble
263italy

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

Faceit stats

Combat

9Matches
0%Win rate
0.73Avg K/D
66.0ADR
34%Headshot %

Clutches & streaks

25%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient40%0.7812.8
Inferno30%0.6811.0
Anubis10%0.6513.0
Dust210%0.7414.0

Faceit-match stats via the FACEIT Data API โ€” a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches โ€” stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.7%Headshot accuracy
34.2%Accuracy (enemy spotted)
38.4%Spray accuracy
80.8%Counter-strafing
10.9ยฐPreaim
581msReaction time
58.8%T opening success
42.0%CT opening success
0.60Enemies flashed / flash
7.5%Flash assists
11.20HE damage / grenade
8.78Flashes / match

Recommended for you

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics โ€” lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 14 tracked games โ€” your weakest map with enough games to be worth reading into.

Inferno callouts & strategy โ†’Inferno grenade lineups โ†’

Recent matches

MapScoreRatingHS%Date
dust25โ€“13-0.026%1 Oct โ†’
inferno8โ€“13-0.0014%1 Oct โ†’
ancient9โ€“13-0.0713%1 Oct โ†’
dust26โ€“13-0.0620%1 Oct โ†’
mirage1โ€“13-0.052%1 Oct โ†’
cache6โ€“130.0019%1 Oct โ†’
dust213โ€“110.0111%1 Oct โ†’
boulder11โ€“130.0133%1 Oct โ†’
italy13โ€“5-0.0022%1 Oct โ†’
inferno13โ€“9-0.0113%30 Sept โ†’
italy13โ€“11-0.0517%26 Sept โ†’
inferno9โ€“130.0216%26 Sept โ†’
inferno3โ€“13-0.0114%26 Sept โ†’
overpass13โ€“100.0412%25 Sept โ†’
cache9โ€“13-0.0421%25 Sept โ†’
dust23โ€“130.0126%25 Sept โ†’
anubis5โ€“13-0.0114%25 Sept โ†’
vertigo2โ€“13-0.0725%24 Sept โ†’
inferno2โ€“13-0.1045%24 Sept โ†’
dust212โ€“120.0113%24 Sept โ†’
anubis3โ€“13-0.0016%22 Sept โ†’
anubis3โ€“00.1567%22 Sept โ†’
anubis10โ€“13-0.0320%22 Sept โ†’
train1โ€“13-0.0744%18 Sept โ†’
mirage13โ€“8-0.0516%18 Sept โ†’
dust29โ€“130.0312%18 Sept โ†’
inferno12โ€“12-0.0224%18 Sept โ†’
ancient13โ€“80.0418%18 Sept โ†’
cache13โ€“60.1122%18 Sept โ†’
dust213โ€“7-0.0318%18 Sept โ†’
boulder12โ€“12-0.0510%18 Sept โ†’
dust27โ€“13-0.0217%18 Sept โ†’
mirage1โ€“13-0.055%17 Sept โ†’
cache3โ€“13-0.0739%12 Sept โ†’
vertigo9โ€“13-0.0714%12 Sept โ†’
nuke13โ€“70.0319%12 Sept โ†’
mirage13โ€“6-0.0121%12 Sept โ†’
dust212โ€“12-0.0031%12 Sept โ†’
dust24โ€“13-0.0821%12 Sept โ†’
train6โ€“130.0041%11 Sept โ†’
nuke13โ€“10.1113%11 Sept โ†’
dust213โ€“6-0.0225%11 Sept โ†’
cache6โ€“13-0.0013%11 Sept โ†’
dust213โ€“10-0.0319%9 Sept โ†’
mirage8โ€“3-0.0216%9 Sept โ†’
dust213โ€“10-0.0413%7 Sept โ†’
dust28โ€“13-0.0414%7 Sept โ†’
nuke13โ€“90.0820%6 Sept โ†’
inferno13โ€“70.0815%3 Sept โ†’
nuke5โ€“13-0.0716%3 Sept โ†’
inferno8โ€“13-0.0511%2 Sept โ†’
eldorado9โ€“60.0926%1 Sept โ†’
inferno9โ€“6-0.059%1 Sept โ†’
dust213โ€“90.0719%26 Aug โ†’
dust213โ€“10.0324%26 Aug โ†’
cache5โ€“13-0.033%26 Aug โ†’
cache13โ€“8-0.0123%26 Aug โ†’
inferno12โ€“120.0212%13 Aug โ†’
dust213โ€“7-0.069%13 Aug โ†’
vertigo10โ€“3-0.126%13 Aug โ†’
dust21โ€“13-0.070%9 Aug โ†’
dust28โ€“13-0.0413%9 Aug โ†’
poseidon4โ€“9-0.1821%9 Aug โ†’
anubis13โ€“60.0118%8 Aug โ†’
anubis3โ€“13-0.0419%7 Aug โ†’
cache6โ€“130.0217%7 Aug โ†’
dust26โ€“130.0118%7 Aug โ†’
dust25โ€“13-0.0817%7 Aug โ†’
cache13โ€“70.019%7 Aug โ†’
dust211โ€“13-0.0326%23 Jul โ†’
cache13โ€“90.017%23 Jul โ†’
inferno11โ€“130.0316%22 Jul โ†’
dust216โ€“140.0124%20 Jul โ†’
nuke4โ€“13-0.0612%20 Jul โ†’
nuke7โ€“13-0.0514%19 Jul โ†’
cache13โ€“60.0220%19 Jul โ†’
dust28โ€“130.0221%19 Jul โ†’
inferno5โ€“13-0.0727%19 Jul โ†’
inferno13โ€“11-0.0618%19 Jul โ†’
anubis13โ€“110.1116%19 Jul โ†’
dust29โ€“13-0.0416%18 Jul โ†’
vertigo13โ€“00.0119%18 Jul โ†’
boulder13โ€“3-0.0413%18 Jul โ†’
fachwerk12โ€“120.0024%18 Jul โ†’
cache6โ€“13-0.0410%18 Jul โ†’
cache7โ€“13-0.0611%18 Jul โ†’
nuke16โ€“13-0.0311%18 Jul โ†’
inferno8โ€“130.009%17 Jul โ†’
dust211โ€“13-0.0118%17 Jul โ†’
boulder9โ€“130.0216%17 Jul โ†’
dust211โ€“13-0.087%17 Jul โ†’
nuke10โ€“13-0.0221%17 Jul โ†’
poseidon9โ€“60.0025%17 Jul โ†’
overpass10โ€“13-0.028%16 Jul โ†’
anubis12โ€“12-0.0312%16 Jul โ†’
dust213โ€“80.0333%16 Jul โ†’
boulder7โ€“13-0.0111%12 Jul โ†’
fachwerk13โ€“50.0925%12 Jul โ†’
cache6โ€“13-0.0719%10 Jul โ†’
cache13โ€“1-0.038%10 Jul โ†’

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone โ†’Inventory value for this account โ†’Where does this rating sit? Premier rank tiers โ†’

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