Cali

Cali — CS2 Stats

76561199161641766[U:1:1201376038]Steam profile ↗✓ No bans

2,707Tracked matches52%Win rate2024Tracked since
CSDB Rating2.4 LearningPositional Player
Premier CS Rating1,227Grey band · top ~94.8% of ranked players (population est.)
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

+227Premier CS Rating · 1,000 → 1,227

Rating over time

Premier CS Rating: 1,227 -121 13 Sept – 4 Nov · 7 days played
1,0001,449peak 1,44913 Sept4 Nov
1,719Peak Premier in tracked matches
25Days played since 2026-09-13

Premier CS Rating

  • 222 below peak (1,449)
  • Next: Light Blue band at 5,000 — 3,773 to go

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGCaliPREMIER1,227 · Grey bandcsdb.gg/stats

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Performance scores

Aim9
Positioning31
Utility20

0–100 skill scores via Leetify.

Recent form

STEADY46–46–8Last 10046%Win rateWWTWLWLWLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −3.3pp headshot accuracy · +42ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 881ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 824ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 803ms

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 (+1.4 against its own average).

Aim0.9
Utility2.0
Positioning3.1
Opening Duels0.0

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

m0NESY

Plays most like m0NESY 63% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Areas to improve

CT openings. Opening success drops from 50% on T to 30% on CT — first contacts on the defending side are being lost.

Reaction time. 833ms 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

Aim0.9
Positioning3.1
Utility2.0
Mechanics4.6
Opening Duels2.6
Win Impact5.6

Composite 2.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.06+0.01
first ⅓ avg -0.06 → last ⅓ avg -0.06
Reaction time825ms+17ms
first ⅓ avg 808ms → last ⅓ avg 825ms
Headshot accuracy9.7%−0.6%
first ⅓ avg 10.3% → last ⅓ avg 9.7%

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

0.07Best match rating · 9–1 · nuke, 29 Sept →
25%Best headshot accuracy · 13–3 · cache, 29 Oct →
539msFastest reaction time · 4–9 · office, 29 Sept →
13–1Biggest win · mirage, 20 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
8–9In matches decided by ≤2 rounds
3Overtime games

Map breakdown

officeBest map · 86% over 7overpassWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C197–1237%-0.05
infernoC167–944%-0.05
nukeB137–654%-0.07
mirageA106–460%-0.06
officeS76–186%-0.05
cacheA74–357%-0.06
anubisC52–340%-0.04
overpassD50–50%-0.06
ancientC52–340%-0.07
vertigo—41–325%-0.04
train—31–233%-0.07
fachwerk—32–167%-0.09
poseidon—10–10%-0.09
boulder—10–10%-0.08
shelter—11–0100%-0.06

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Skill profile

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

9.7%Headshot accuracy
25.0%Accuracy (enemy spotted)
30.2%Spray accuracy
70.8%Counter-strafing
12.8°Preaim
833msReaction time
50.4%T opening success
29.8%CT opening success
0.25Enemies flashed / flash
2.2%Flash assists
9.06HE damage / grenade
2.92Flashes / 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

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

    Preaim 12.8326° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 9.7347% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 833.2288ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Overpass

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–10-0.0012%4 Nov →
nuke13–11-0.0012%4 Nov →
vertigo12–12-0.0117%3 Nov →
office13–6-0.096%31 Oct →
anubis12–16-0.049%31 Oct →
mirage13–2-0.059%31 Oct →
inferno3–13-0.0610%31 Oct →
dust213–10-0.043%31 Oct →
overpass3–13-0.086%30 Oct →
anubis11–130.0013%30 Oct →
nuke13–11-0.087%30 Oct →
inferno13–10-0.009%30 Oct →
dust25–13-0.0621%30 Oct →
inferno13–4-0.0717%29 Oct →
dust212–12-0.0613%29 Oct →
train13–8-0.097%29 Oct →
cache13–3-0.0925%29 Oct →
nuke7–13-0.1117%29 Oct →
train11–13-0.084%29 Oct →
dust210–130.019%29 Oct →
dust29–13-0.039%29 Oct →
dust25–12-0.1114%28 Oct →
fachwerk12–12-0.100%28 Oct →
mirage13–11-0.056%28 Oct →
overpass2–13-0.134%27 Oct →
office13–9-0.078%27 Oct →
ancient11–13-0.077%27 Oct →
train5–13-0.049%27 Oct →
inferno13–4-0.0310%27 Oct →
mirage13–9-0.138%27 Oct →
dust211–13-0.0512%27 Oct →
ancient14–16-0.077%25 Oct →
dust213–50.023%25 Oct →
dust28–13-0.0910%25 Oct →
inferno6–13-0.0414%24 Oct →
inferno11–13-0.093%24 Oct →
anubis4–13-0.072%24 Oct →
nuke13–11-0.068%21 Oct →
vertigo8–13-0.067%21 Oct →
inferno6–9-0.1012%9 Oct →
poseidon6–9-0.0920%9 Oct →
inferno5–9-0.1015%9 Oct →
nuke5–9-0.137%9 Oct →
inferno10–13-0.0312%3 Oct →
vertigo13–100.0411%30 Sept →
dust213–9-0.0114%30 Sept →
ancient13–9-0.079%30 Sept →
dust212–12-0.0811%29 Sept →
inferno9–7-0.0214%29 Sept →
inferno9–1-0.1113%29 Sept →
nuke9–10.076%29 Sept →
overpass7–13-0.0317%29 Sept →
office4–9-0.0221%29 Sept →
office13–50.037%28 Sept →
boulder10–13-0.084%28 Sept →
fachwerk13–11-0.076%24 Sept →
fachwerk13–6-0.114%24 Sept →
shelter13–6-0.0613%24 Sept →
inferno12–12-0.0211%24 Sept →
mirage8–13-0.0419%23 Sept →
inferno13–5-0.036%23 Sept →
vertigo8–13-0.137%23 Sept →
dust213–9-0.0512%23 Sept →
anubis13–9-0.027%23 Sept →
cache11–13-0.0512%22 Sept →
dust212–12-0.089%22 Sept →
mirage12–12-0.0615%22 Sept →
cache13–9-0.0813%22 Sept →
overpass7–13-0.026%21 Sept →
mirage8–13-0.115%21 Sept →
nuke11–13-0.067%21 Sept →
nuke13–2-0.0525%21 Sept →
office13–9-0.089%21 Sept →
nuke3–5-0.1015%21 Sept →
inferno2–13-0.013%21 Sept →
dust29–13-0.0915%21 Sept →
cache5–13-0.0613%21 Sept →
cache13–80.0110%20 Sept →
mirage4–13-0.0324%20 Sept →
overpass3–13-0.0619%20 Sept →
cache13–8-0.087%20 Sept →
inferno13–10-0.1122%20 Sept →
mirage13–1-0.064%20 Sept →
office13–10-0.0718%20 Sept →
dust213–3-0.079%20 Sept →
ancient13–10-0.054%19 Sept →
nuke8–13-0.086%19 Sept →
dust213–3-0.056%19 Sept →
cache12–12-0.040%19 Sept →
ancient1–13-0.070%18 Sept →
nuke8–13-0.135%18 Sept →
anubis13–7-0.090%18 Sept →
office13–11-0.0812%15 Sept →
nuke13–7-0.0711%15 Sept →
dust213–10-0.0511%15 Sept →
dust26–13-0.0712%14 Sept →
nuke13–11-0.097%14 Sept →
mirage16–12-0.029%13 Sept →
inferno10–130.0317%13 Sept →
dust23–13-0.0418%13 Sept →

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 →

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