cal

cal — CS2 Stats

US76561198988791868[U:1:1028526140]Steam profile ↗✓ No bans

3,833Tracked matches43%Win rate2022Tracked since
CSDB Rating5.7 SolidSupport
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (39 days ago). Ranks are recorded once per day this page is viewed.

+90Tracked matches · now 3,833
−17.8ppWin rate · 60.7% → 42.9%

Rating over time

Faceit ELO: 1,410 +0 29 Aug – 3 Sept · 2 observations
1,4101,410peak 1,41029 Aug3 Sept
1,410Highest Faceit ELO seen on CSDB
32Days played since 2026-08-22

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.

Share this profile

CSDB.GGcalFACEITLevel 6STANDINGTop 54.0% of rankedPEAK ELO1,410csdb.gg/stats

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Performance scores

Aim58
Positioning61
Utility69

0–100 skill scores via Leetify.

Recent form

COLD47–43–10Last 10047%Win rateLLLWTLLWLL

Last 10 vs previous 10: −30pp win rate · +0.00 avg rating · −6.7pp headshot accuracy · −99ms reaction

Win rate down 30pp 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

  • 1–3–1 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 538ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 541ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 590ms

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 against its own average).

Aim5.8
Utility6.9
Positioning6.1
Opening Duels4.5
Clutch6.0

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

jL

Plays most like jL 73% 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 — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

T openings. 60% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 579ms 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

Aim5.8
Positioning6.1
Utility6.9
Mechanics5.4
Opening Duels6.0
Win Impact2.6

Composite 5.7/10 (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 rating-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time585ms−31ms
first ⅓ avg 615ms → last ⅓ avg 585ms
Headshot accuracy21.1%−0.7%
first ⅓ avg 21.8% → last ⅓ avg 21.1%

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 · 13–4 · dust2, 26 Sept →
41%Best headshot accuracy · 8–13 · dust2, 4 Sept →
422msFastest reaction time · 13–4 · dust2, 6 Sept →
13–1Biggest win · anubis, 3 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
5–9In matches decided by ≤2 rounds
6Overtime games

Map breakdown

dust2Best map · 53% over 75mirageWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B7540–3553%-0.00
mirageD102–820%0.00
anubisB63–350%-0.01
inferno—31–233%-0.05
ancient—31–233%-0.04
cache—20–20%-0.04
nuke—10–10%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 10). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

381Matches
53%Win rate
0.96Avg K/D
74.2ADR
43%Headshot %

Clutches & streaks

50%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage5954%0.9113.5
Dust25260%1.0515.4
Anubis3949%0.9513.5
Ancient3358%1.0115.3
Inferno2646%0.9415.5
Nuke2259%0.9415.2
Vertigo1242%1.0013.0
Overpass1145%1.1314.9

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.

21.5%Headshot accuracy
30.6%Accuracy (enemy spotted)
27.6%Spray accuracy
74.5%Counter-strafing
9.7°Preaim
579msReaction time
60.1%T opening success
48.1%CT opening success
0.60Enemies flashed / flash
11.0%Flash assists
11.66HE damage / grenade
14.33Flashes / match

Recommended for you

Spend your practice time on Mirage

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage7–13-0.0013%12 Oct →
inferno13–16-0.0519%12 Oct →
dust211–13-0.047%11 Oct →
dust213–100.0816%11 Oct →
dust212–120.0420%11 Oct →
dust211–130.0021%10 Oct →
dust211–130.0119%10 Oct →
dust213–9-0.0024%10 Oct →
mirage7–13-0.0724%10 Oct →
nuke7–13-0.0219%10 Oct →
dust213–8-0.0221%8 Oct →
dust213–10-0.0331%8 Oct →
dust213–110.0317%8 Oct →
dust22–13-0.0722%6 Oct →
dust213–60.0324%4 Oct →
dust23–13-0.0626%4 Oct →
dust213–80.0129%4 Oct →
mirage15–150.1026%4 Oct →
cache4–13-0.0333%4 Oct →
ancient7–13-0.0521%3 Oct →
inferno13–11-0.0026%3 Oct →
mirage11–13-0.0715%3 Oct →
anubis13–10.0427%3 Oct →
dust213–11-0.0032%3 Oct →
mirage8–13-0.0321%3 Oct →
anubis2–13-0.0727%3 Oct →
ancient10–13-0.0315%3 Oct →
dust213–60.0220%3 Oct →
dust213–70.0123%3 Oct →
dust211–13-0.0214%2 Oct →
dust21–13-0.0211%2 Oct →
dust215–150.0113%2 Oct →
dust213–90.0120%29 Sept →
dust213–10-0.049%28 Sept →
dust23–130.0013%28 Sept →
ancient13–8-0.0415%27 Sept →
dust29–13-0.0116%27 Sept →
dust213–30.0220%27 Sept →
mirage5–13-0.0519%27 Sept →
dust213–11-0.0317%27 Sept →
dust213–9-0.056%27 Sept →
dust213–80.0330%26 Sept →
dust213–70.0127%26 Sept →
dust213–40.1111%26 Sept →
dust212–12-0.0522%26 Sept →
dust213–70.0324%25 Sept →
dust212–120.0418%22 Sept →
dust28–130.0121%22 Sept →
anubis15–15-0.0326%20 Sept →
dust212–16-0.0221%20 Sept →
mirage13–10.0323%20 Sept →
dust213–40.0332%20 Sept →
dust24–130.0321%20 Sept →
mirage13–100.0116%20 Sept →
dust213–50.0223%20 Sept →
dust213–60.0813%20 Sept →
dust27–13-0.0524%18 Sept →
dust27–13-0.0120%17 Sept →
anubis14–16-0.0216%17 Sept →
dust213–8-0.0623%16 Sept →
dust26–13-0.0217%16 Sept →
dust213–80.0222%14 Sept →
cache5–13-0.0526%12 Sept →
anubis13–70.0227%11 Sept →
dust213–80.0416%11 Sept →
mirage11–130.0417%11 Sept →
dust213–8-0.0424%10 Sept →
anubis13–11-0.0314%10 Sept →
inferno6–13-0.0820%10 Sept →
dust29–130.0034%10 Sept →
dust25–13-0.0128%7 Sept →
mirage7–130.0627%7 Sept →
dust210–13-0.0123%7 Sept →
dust213–4-0.0313%6 Sept →
dust213–9-0.0523%6 Sept →
dust26–13-0.0038%5 Sept →
dust212–120.0021%5 Sept →
dust213–70.1121%5 Sept →
dust212–120.0217%5 Sept →
dust28–130.0341%4 Sept →
dust212–120.0324%4 Sept →
dust213–30.0319%1 Sept →
dust211–130.0419%31 Aug →
dust213–8-0.0330%31 Aug →
dust213–4-0.0222%31 Aug →
dust213–90.0226%28 Aug →
dust213–10-0.0713%28 Aug →
dust213–10.0514%28 Aug →
dust28–13-0.0541%28 Aug →
dust213–8-0.0515%28 Aug →
dust212–120.0014%27 Aug →
dust213–20.0731%27 Aug →
dust210–13-0.0219%27 Aug →
dust210–13-0.0520%23 Aug →
dust22–4-0.010%23 Aug →
dust213–60.0123%23 Aug →
dust213–5-0.0420%23 Aug →
dust24–13-0.1013%23 Aug →
dust26–13-0.0316%22 Aug →
dust213–80.0523%22 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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