Spartanโ™›๐Ÿ‘‘

Spartanโ™›๐Ÿ‘‘ โ€” CS2 Stats

GR76561198997348155[U:1:1037082427]Steam profile โ†—โœ“ No bans

3,450Tracked matches59%Win rate2021Tracked since
CSDB Rating4.3 DevelopingSupport
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then โ€” still 3,450 tracked matches. Play, then come back: the next observation lands here.

Rating over time

44Days played since 2026-07-06

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

Share this profile

CSDB.GGSpartanโ™›๐Ÿ‘‘FACEITLevel 2STANDINGTop 97.9% 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

Aim35
Positioning56
Utility72

0โ€“100 skill scores via Leetify.

Recent form

STEADY59โ€“37โ€“4Last 10059%Win rateWWWLLLWLLW

Last 10 vs previous 10: 0pp win rate ยท โˆ’0.02 avg rating ยท โˆ’2.5pp headshot accuracy ยท โˆ’1ms reaction

Win rate 0pp 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

  • 3โ€“2 ยท 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 594ms

Last 10

  • 5โ€“5 ยท 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 574ms

Last 20

  • 10โ€“9โ€“1 ยท 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 574ms

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 (+2.5 against its own average).

Aim3.5
Utility7.2
Positioning5.6
Opening Duels1.4

Effective flashes

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

iM

Plays most like iM 53% 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

Reaction time. 568ms from enemy-visible to first shot leaves fights decided before they start โ€” warmup routines move this number more than anything else.

Counter-strafing. Only 51% of shots are taken properly stopped โ€” moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.5
Positioning5.6
Utility7.2
Mechanics0.3
Opening Duels2.1
Win Impact7.9

Composite 4.3/10 (Developing), 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-0.01โˆ’0.02
first โ…“ avg 0.01 โ†’ last โ…“ avg -0.01
Reaction time561msโˆ’42ms
first โ…“ avg 602ms โ†’ last โ…“ avg 561ms
Headshot accuracy20.1%+1.1%
first โ…“ avg 19.0% โ†’ last โ…“ avg 20.1%

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.

Personal bests

0.11Best match rating ยท 13โ€“7 ยท office, 6 Jul โ†’
67%Best headshot accuracy ยท 1โ€“2 ยท office, 7 Aug โ†’
391msFastest reaction time ยท 13โ€“6 ยท office, 6 Sept โ†’
13โ€“1Biggest win ยท office, 8 Sept โ†’

Across the last 100 tracked matches.

Highlights

12Longest win streak
W3Current streak
4โ€“4In matches decided by โ‰ค2 rounds

Map breakdown

officeBest map ยท 76% over 63infernoWeakest map ยท 20% over 10
MapGradePlayedRecordWin rateAvg rating
officeS6348โ€“1576%0.01
infernoD102โ€“820%-0.03
nukeD93โ€“633%-0.03
vertigoC83โ€“538%-0.04
dust2D51โ€“420%-0.02
ancientโ€”31โ€“233%-0.01
anubisโ€”21โ€“150%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

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.

20.6%Headshot accuracy
29.6%Accuracy (enemy spotted)
34.8%Spray accuracy
51.3%Counter-strafing
12.3ยฐPreaim
568msReaction time
44.0%T opening success
33.1%CT opening success
0.72Enemies flashed / flash
5.3%Flash assists
11.81HE damage / grenade
11.36Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag โ€” the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.3058ยฐ โ€” above the 12ยฐ mark we flag

    Aim Training โ†’
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.

20% win rate across 10 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
office13โ€“100.0120%28 Oct โ†’
office13โ€“90.0122%28 Oct โ†’
office13โ€“10-0.0112%17 Oct โ†’
vertigo10โ€“13-0.0326%17 Oct โ†’
inferno8โ€“13-0.0230%17 Oct โ†’
anubis5โ€“13-0.1011%10 Oct โ†’
vertigo13โ€“9-0.0317%10 Oct โ†’
ancient8โ€“13-0.0015%10 Oct โ†’
nuke9โ€“130.0120%10 Oct โ†’
office13โ€“9-0.0122%10 Oct โ†’
dust29โ€“13-0.0119%1 Oct โ†’
office13โ€“80.0411%1 Oct โ†’
nuke13โ€“80.0123%1 Oct โ†’
vertigo9โ€“13-0.0328%1 Oct โ†’
nuke1โ€“13-0.0829%15 Sept โ†’
office10โ€“130.0225%13 Sept โ†’
office13โ€“40.0220%13 Sept โ†’
office13โ€“50.0311%10 Sept โ†’
office13โ€“11-0.0122%10 Sept โ†’
office12โ€“12-0.0132%9 Sept โ†’
office13โ€“2-0.0529%9 Sept โ†’
office13โ€“50.0216%8 Sept โ†’
office13โ€“10.1024%8 Sept โ†’
office8โ€“13-0.0129%8 Sept โ†’
office13โ€“6-0.094%6 Sept โ†’
office6โ€“130.0215%5 Sept โ†’
nuke13โ€“11-0.0031%4 Sept โ†’
office8โ€“13-0.0415%4 Sept โ†’
inferno13โ€“5-0.0213%3 Sept โ†’
office13โ€“50.0524%2 Sept โ†’
office13โ€“9-0.0115%22 Aug โ†’
office13โ€“10-0.0219%22 Aug โ†’
vertigo13โ€“5-0.0414%20 Aug โ†’
inferno6โ€“13-0.0422%20 Aug โ†’
dust26โ€“130.0217%19 Aug โ†’
office13โ€“50.0115%18 Aug โ†’
inferno6โ€“13-0.0318%18 Aug โ†’
office13โ€“20.1145%18 Aug โ†’
office13โ€“30.0423%18 Aug โ†’
office12โ€“120.0417%16 Aug โ†’
office13โ€“2-0.028%16 Aug โ†’
office13โ€“4-0.0214%14 Aug โ†’
office13โ€“100.0530%14 Aug โ†’
vertigo10โ€“13-0.0821%14 Aug โ†’
inferno6โ€“13-0.0216%12 Aug โ†’
nuke9โ€“13-0.0814%12 Aug โ†’
inferno7โ€“13-0.0513%10 Aug โ†’
office13โ€“3-0.0715%10 Aug โ†’
office0โ€“9-0.0833%10 Aug โ†’
dust27โ€“13-0.1027%9 Aug โ†’
inferno13โ€“9-0.0324%9 Aug โ†’
office13โ€“9-0.0123%8 Aug โ†’
office4โ€“13-0.0725%8 Aug โ†’
office11โ€“13-0.0216%7 Aug โ†’
office13โ€“100.0419%7 Aug โ†’
office13โ€“110.0624%7 Aug โ†’
office1โ€“2-0.0467%7 Aug โ†’
office8โ€“13-0.0710%6 Aug โ†’
nuke11โ€“13-0.0414%6 Aug โ†’
inferno1โ€“13-0.147%6 Aug โ†’
office13โ€“4-0.0021%5 Aug โ†’
office13โ€“80.1115%5 Aug โ†’
office13โ€“60.0424%4 Aug โ†’
office13โ€“8-0.0027%3 Aug โ†’
office11โ€“13-0.0326%1 Aug โ†’
inferno8โ€“13-0.0126%31 Jul โ†’
vertigo3โ€“13-0.0426%31 Jul โ†’
vertigo13โ€“8-0.0319%31 Jul โ†’
office13โ€“7-0.0221%30 Jul โ†’
vertigo1โ€“13-0.0620%30 Jul โ†’
dust212โ€“12-0.0216%28 Jul โ†’
office13โ€“60.0213%28 Jul โ†’
office13โ€“7-0.0223%28 Jul โ†’
anubis13โ€“8-0.0224%26 Jul โ†’
nuke13โ€“70.0815%23 Jul โ†’
dust213โ€“10-0.0118%23 Jul โ†’
office8โ€“130.0414%22 Jul โ†’
office8โ€“13-0.0011%22 Jul โ†’
office13โ€“1-0.0116%19 Jul โ†’
ancient13โ€“100.0217%19 Jul โ†’
office12โ€“12-0.0123%18 Jul โ†’
office13โ€“60.0617%18 Jul โ†’
nuke7โ€“13-0.129%15 Jul โ†’
ancient7โ€“13-0.0522%15 Jul โ†’
nuke6โ€“13-0.0337%15 Jul โ†’
office13โ€“4-0.0418%14 Jul โ†’
office13โ€“70.0321%14 Jul โ†’
office13โ€“70.0421%14 Jul โ†’
office13โ€“80.0912%12 Jul โ†’
office13โ€“40.0617%12 Jul โ†’
office13โ€“50.0121%12 Jul โ†’
office13โ€“8-0.0623%12 Jul โ†’
office13โ€“70.0628%12 Jul โ†’
office8โ€“00.1021%11 Jul โ†’
office13โ€“50.0623%11 Jul โ†’
office13โ€“90.0217%11 Jul โ†’
office13โ€“10.0314%11 Jul โ†’
inferno9โ€“13-0.0017%8 Jul โ†’
office6โ€“4-0.0421%8 Jul โ†’
office13โ€“70.1117%6 Jul โ†’

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches12-Win Streak
Compare this player with someone โ†’Inventory value for this account โ†’Where does this rating sit? Premier rank tiers โ†’

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.