Cospar

Cospar — CS2 Stats

76561198451633814[U:1:491368086]Steam profile ↗✓ No bans

2,664Tracked matches40%Win rate2020Tracked since
6,859Hours in CS12Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
FaceitLevel 10 · 2,935 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (32 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,935 → 2,935
+21Tracked matches · now 2,664
0.0ppWin rate · 40.0% → 40.0%

Rating over time

Faceit ELO: 2,935 +0 10 Sept – 27 Sept · 2 observations
2,9352,935peak 2,93510 Sept27 Sept
2,935Highest Faceit ELO seen on CSDB
81Days played since 2024-10-21

Faceit ELO

  • At peak — 2,935
  • Next: 3,000 ELO at 3,000 — 65 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-10
  • Level 10 first seen 2026-09-10

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches2826+2
Win rate43%85%−42pp
K/D1.041.31−0.26
Headshot %48%42%+6pp

Measured 27 Sep 2026 → 29 Oct 2026; previous 29 Aug 2026 → 27 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — 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 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate44.6%50.9%
Shot accuracy13.6%13.7%
Kill/death ratio1.001.09
Match win rate56.9%48.4%

Share this profile

CSDB.GGCosparFACEITLevel 10 · 2,935 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,935csdb.gg/stats

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

Performance scores

Aim84
Positioning66
Utility58

0–100 skill scores via Leetify.

Recent form

COLD51–49Last 10051%Win rateLLWLLLWLLL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −0.7pp headshot accuracy · −38ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 509ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 518ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 537ms

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: Positional Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim8.4
Utility5.8
Positioning6.6
Opening Duels3.6
Clutch4.6

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.

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

iM

Plays most like iM 97% playstyle similarity

Most alike: positioning profile, opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.4
Positioning6.6
Utility5.8
Mechanics6.2
Opening Duels2.5
Win Impact1.7

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time549ms−68ms
first ⅓ avg 617ms → last ⅓ avg 549ms
Headshot accuracy21.2%+0.2%
first ⅓ avg 21.0% → last ⅓ avg 21.2%

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

0.20Best match rating · 13–11 · mirage, 5 Jun →
42%Best headshot accuracy · 9–5 · inferno, 19 Jan →
406msFastest reaction time · 10–13 · anubis, 13 Jan →
13–2Biggest win · mirage, 9 Mar →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
12–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 61% over 18infernoWeakest map · 42% over 19
MapGradePlayedRecordWin rateAvg rating
mirageB3317–1652%0.03
infernoC198–1142%0.02
dust2A1811–761%0.01
ancientB158–753%0.02
anubisA95–456%0.03
nuke—21–150%-0.05
train—20–20%0.01
vertigo—10–10%0.02
overpass—11–0100%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

202,513Lifetime kills
1.00K/D
14,318Matches
56.9%Match win rate · Top 10% of Level 10 players
44.6%Headshot %
13.6%Shot accuracy
30,918MVPs
6,089Hours (in match)
8,227Bombs planted
4,039Bombs defused

Most-used weapons

AK-4766,036
AWP32,470
Knife6,200
MP92,735
SG 5532,635

Lifetime map wins

14,758inferno
9,147dust2
5,242vertigo
5,148train
3,190nuke
851cbble
297office
140italy

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

Faceit stats

Combat

3,037Matches
54%Win rate
1.13Avg K/D
81.9ADR
47%Headshot %

Clutches & streaks

43%1v1 clutch win
23%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage61455%1.1616.9
Ancient38559%1.2117.2
Anubis30750%1.1215.9
Dust229554%1.1516.3
Inferno18054%1.0916.2
Vertigo6250%1.0316.4
Nuke3259%1.0515.6
Train3142%1.1315.2

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.

21.1%Headshot accuracy
37.6%Accuracy (enemy spotted)
39.5%Spray accuracy
78.0%Counter-strafing
8.0°Preaim
546msReaction time
37.8%T opening success
42.5%CT opening success
0.58Enemies flashed / flash
13.3%Flash assists
10.31HE damage / grenade
4.76Flashes / 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. 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 37.7831% — 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.

42% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient17–190.0117%22 Oct →
anubis9–130.0231%2 Oct →
dust213–70.0413%2 Sept →
vertigo7–130.0217%29 Aug →
mirage2–9-0.0223%25 Aug →
ancient4–130.0623%25 Aug →
dust213–100.0625%25 Aug →
dust28–130.0014%23 Aug →
mirage4–13-0.0411%15 Aug →
inferno10–130.0226%7 Aug →
mirage13–9-0.0115%5 Aug →
ancient15–19-0.0221%1 Aug →
inferno9–130.0818%16 Jul →
ancient13–90.0623%2 Jun →
mirage10–13-0.0021%2 Jun →
mirage10–130.0725%1 Jun →
dust213–70.0123%27 May →
mirage2–13-0.0522%19 May →
ancient13–60.0220%18 May →
ancient9–13-0.0120%15 May →
ancient13–11-0.0216%23 Apr →
inferno14–16-0.0121%20 Apr →
ancient6–13-0.0830%16 Apr →
mirage13–160.0425%15 Apr →
inferno13–60.0225%13 Apr →
mirage4–130.0027%12 Mar →
inferno16–140.0724%10 Mar →
mirage13–20.1425%9 Mar →
dust213–50.0117%24 Feb →
mirage13–80.0120%16 Feb →
ancient8–130.0324%11 Feb →
inferno8–13-0.0618%2 Feb →
mirage13–110.0322%2 Feb →
anubis13–10-0.0217%2 Feb →
anubis13–90.0425%30 Jan →
mirage5–130.0525%30 Jan →
mirage13–10-0.0114%27 Jan →
nuke9–7-0.0324%19 Jan →
inferno9–50.0842%19 Jan →
inferno7–9-0.0315%19 Jan →
anubis10–13-0.0224%13 Jan →
train12–16-0.0510%30 Dec →
ancient13–60.0332%23 Dec →
ancient11–130.0423%4 Dec →
inferno4–13-0.0030%4 Dec →
mirage13–11-0.0123%25 Nov →
mirage6–130.0822%14 Oct →
mirage9–130.0134%2 Oct →
dust213–50.0715%2 Oct →
inferno17–19-0.0124%11 Sept →
mirage13–40.1631%1 Sept →
inferno13–7-0.0212%22 Aug →
nuke4–13-0.0717%20 Aug →
mirage5–13-0.0918%9 Aug →
mirage14–160.0117%30 Jul →
dust211–13-0.0715%30 Jul →
mirage13–110.0116%30 Jul →
inferno7–13-0.0123%28 Jul →
mirage13–80.0433%27 Jul →
overpass13–90.0024%26 Jul →
inferno10–130.0120%19 Jul →
dust213–70.0537%19 Jul →
inferno13–100.0525%8 Jul →
dust29–13-0.0514%1 Jul →
ancient13–80.0817%30 Jun →
ancient13–50.029%27 Jun →
inferno16–140.0114%7 Jun →
mirage13–60.0727%5 Jun →
mirage13–110.2026%5 Jun →
anubis13–70.0123%2 Jun →
dust213–8-0.0321%23 Apr →
mirage8–13-0.0316%21 Apr →
dust210–13-0.0221%17 Apr →
dust213–11-0.0127%17 Apr →
dust213–5-0.0113%16 Apr →
inferno6–130.0125%15 Apr →
inferno16–13-0.0019%13 Apr →
dust22–13-0.1126%11 Apr →
mirage13–40.0826%11 Apr →
mirage13–70.1417%7 Apr →
mirage13–30.0623%7 Apr →
mirage13–8-0.0421%3 Apr →
mirage10–13-0.0319%6 Mar →
mirage16–140.0217%4 Mar →
ancient13–60.0222%27 Feb →
anubis6–130.0318%11 Feb →
inferno13–70.1225%11 Feb →
dust27–13-0.0315%4 Feb →
anubis13–60.1318%1 Feb →
dust25–130.0828%12 Jan →
mirage13–30.0118%21 Dec →
ancient10–00.1236%4 Dec →
anubis13–110.0422%3 Dec →
dust213–110.039%27 Nov →
train11–130.0618%14 Nov →
inferno9–13-0.0116%12 Nov →
dust213–40.0928%5 Nov →
mirage6–130.0423%5 Nov →
anubis10–130.0614%30 Oct →
mirage8–130.0617%21 Oct →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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