Spywar

Spywar — CS2 Stats

SE76561198179271191[U:1:219005463]Steam profile ↗✓ No bans

3,174Tracked matches43%Win rate2021Tracked since
2,755Hours in CS
CSDB Rating4.8 DevelopingHybrid Rifler
FaceitLevel 9 · 2,116 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=2,911), 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 9 medianLevel 10 medianvs Level 10
Headshot rate48.6%48.4%51.7%3.1% short
Shot accuracy10.4%13.2%13.8%3.4% short
Kill/death ratio1.001.081.090.09 short
Match win rate49.1%47.0%48.7%meets

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSpywarFACEITLevel 9 · 2,116 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim63
Positioning52
Utility48

0–100 skill scores via Leetify.

Recent form

COLD4456Last 10044%Win rateLLLLLLWLLW

Last 10 vs previous 10: -40pp win rate · +0.02 avg rating

Player DNA

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

Aim6.3
Aggression6.8
Utility4.8
Positioning5.2
Opening Duels1.9
Clutch3.0

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

b1t

Plays most like b1t 88% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: 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. 594ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.3
Positioning5.2
Utility4.8
Mechanics4.3
Opening Duels1.9
Win Impact2.8

Composite 4.8/10 (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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time589ms−26ms
first ⅓ avg 615ms → last ⅓ avg 589ms
Headshot accuracy22.1%−3.9%
first ⅓ avg 26.1% → last ⅓ avg 22.1%

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.

Highlights

0.10Best rating — anubis 13–4
132Biggest win — overpass
5Longest win streak
L6Current streak
610In matches decided by ≤2 rounds
11Overtime games

Map breakdown

overpassBest map · 80% over 5infernoWeakest map · 30% over 20
MapGradePlayedRecordWin rateAvg rating
infernoD2061430%-0.02
anubisB178947%-0.01
dust2C1771041%-0.01
mirageB178947%-0.01
ancientC146843%-0.00
nukeS75271%0.02
overpassS54180%-0.02
cache2020%0.02
train1010%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

93,673Lifetime kills
1.00K/D
4,140Matches
49.1%Match win rate · Top 50% of Level 9 players
48.6%Headshot % · Top 50% of Level 9 players
10.4%Shot accuracy
11,531MVPs
2,755Hours (in match)
3,131Bombs planted
962Bombs defused

Most-used weapons

AK-4729,282
AWP15,511
Knife2,644
SSG 081,626
MP91,426

Lifetime map wins

10,960inferno
5,485dust2
3,375vertigo
2,809nuke
962train
89office
35cbble
22assault

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

Faceit stats

Combat

3,239Matches
50%Win rate
1.13Avg K/D
80.4ADR
47%Headshot %

Clutches & streaks

35%1v1 clutch win
19%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis44353%1.1717.1
Mirage32547%1.0415.4
Dust228251%1.1515.8
Inferno22647%1.0616.0
Ancient18949%1.1415.5
Vertigo12848%1.1317.4
Nuke11441%1.0315.9
Overpass9554%1.1716.6

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
33.4%Accuracy (enemy spotted)
31.1%Spray accuracy
69.2%Counter-strafing
8.4°Preaim
594msReaction time
30.2%T opening success
45.2%CT opening success
0.56Enemies flashed / flash
8.6%Flash assists
11.63HE damage / grenade
5.00Flashes / 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 30.2209% — 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.

30% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache11–130.0132%29 Apr
cache5–130.0354%29 Apr
anubis14–160.0516%28 Apr
dust24–13-0.0414%28 Apr
inferno6–13-0.0312%27 Apr
inferno3–13-0.0513%27 Apr
ancient19–16-0.0015%23 Apr
anubis11–130.0114%23 Apr
inferno6–130.0128%23 Apr
dust213–30.0912%23 Apr
anubis4–13-0.0333%15 Apr
dust213–8-0.0420%15 Apr
mirage13–8-0.0625%13 Apr
mirage13–90.0611%13 Apr
anubis13–6-0.017%12 Apr
inferno7–13-0.0321%12 Apr
inferno13–100.009%10 Apr
inferno13–11-0.0223%7 Apr
inferno9–130.0121%7 Apr
mirage9–13-0.0025%6 Apr
inferno8–13-0.0626%3 Apr
nuke13–5-0.0243%3 Apr
anubis13–60.0719%3 Apr
overpass13–80.0223%2 Apr
ancient13–60.0621%2 Apr
dust29–13-0.0524%31 Mar
anubis6–13-0.1011%30 Mar
dust27–13-0.0232%24 Mar
anubis16–14-0.0112%22 Mar
mirage3–130.0130%20 Mar
dust210–130.0331%19 Mar
dust213–50.0424%19 Mar
anubis13–100.0127%19 Mar
mirage13–5-0.0221%18 Mar
ancient11–13-0.0220%17 Mar
nuke10–130.0112%15 Mar
ancient19–160.0121%15 Mar
inferno9–13-0.0514%15 Mar
inferno8–13-0.0318%14 Mar
inferno4–13-0.0335%11 Mar
anubis13–40.0013%11 Mar
anubis13–5-0.0017%10 Mar
mirage13–11-0.0319%9 Mar
mirage8–130.0523%4 Mar
nuke8–130.0121%28 Feb
dust29–130.0135%27 Feb
mirage13–6-0.0226%26 Feb
dust28–13-0.040%26 Feb
ancient9–13-0.0617%25 Feb
dust211–130.0324%25 Feb
dust216–130.0034%22 Feb
ancient13–5-0.0219%22 Feb
anubis13–40.1033%22 Feb
nuke13–70.0721%21 Feb
dust213–6-0.0326%21 Feb
inferno14–160.0114%20 Feb
dust26–130.0724%19 Feb
mirage10–13-0.0524%19 Feb
dust213–100.0032%19 Feb
anubis13–8-0.0732%18 Feb
anubis13–16-0.0318%13 Feb
inferno5–130.0220%6 Feb
overpass13–7-0.0824%4 Feb
mirage13–80.0511%3 Feb
inferno7–13-0.0523%24 Jan
anubis2–13-0.0825%21 Jan
ancient13–100.0422%20 Jan
ancient6–13-0.0211%19 Jan
ancient13–16-0.0617%19 Jan
anubis6–13-0.0415%18 Jan
anubis13–160.0117%16 Jan
nuke13–70.0834%11 Jan
anubis10–13-0.048%10 Jan
mirage6–13-0.0324%9 Jan
ancient10–130.0136%10 Dec
inferno3–13-0.0233%7 Dec
dust216–14-0.0229%6 Dec
ancient7–13-0.0315%3 Dec
mirage13–30.0741%2 Dec
dust26–13-0.0437%2 Dec
inferno13–10-0.0129%1 Dec
mirage11–130.0124%1 Dec
overpass11–13-0.0320%25 Nov
overpass13–20.0322%23 Nov
mirage12–16-0.0724%28 Oct
ancient13–80.0650%28 Oct
mirage10–13-0.1214%25 Oct
inferno13–80.0333%25 Oct
nuke13–40.0336%24 Oct
inferno13–6-0.0241%24 Oct
overpass13–9-0.0531%23 Oct
mirage13–110.0215%28 May
dust23–8-0.0936%26 May
inferno13–70.0124%26 May
train8–130.0229%25 May
ancient6–130.0132%15 May
inferno11–13-0.0517%12 May
ancient11–13-0.0623%6 May
nuke13–11-0.0329%18 Apr
mirage8–13-0.0413%18 Apr

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →